data structure, stack, stack data structure
Download as PPT, PDF15 likes3,834 views
The document discusses stacks, which are linear data structures that follow the LIFO (last in, first out) principle. Values are inserted into and retrieved from one end, called the top of the stack. The two main operations are push, which inserts a value into the stack, and pop, which retrieves a value. An example C program demonstrates these operations on a stack implemented with an array. The stack starts empty and grows as values are pushed on until it reaches its maximum size, at which point it is full. Values can be continuously popped off until the stack is empty again.
1 of 11
Downloaded 377 times
![Example for stack
# include <stdio.h>
# include <conio.h>
char jaggu[100];
int top = 0;
void push(void);
void pop(void);
void main()
{
Patta Jagadeeswara Rao, MCA.](https://image.slidesharecdn.com/2-131213214436-phpapp01/85/data-structure-stack-stack-data-structure-5-320.jpg)
![Example for stack(cont..)
{
printf(“ The item is : %ch”, gets(jaggu[top]));
if(!jaggu[top])
{
top ++;
}
}
Patta Jagadeeswara Rao, MCA.](https://image.slidesharecdn.com/2-131213214436-phpapp01/85/data-structure-stack-stack-data-structure-9-320.jpg)
![Example for stack(cont..)
Void pop(void)
{
top - - ;
if(top < 0)
{
printf(“stack is empty”); return;
}
printf(“The item is :%ch”, jaggu[top]);}
Patta Jagadeeswara Rao, MCA.](https://image.slidesharecdn.com/2-131213214436-phpapp01/85/data-structure-stack-stack-data-structure-10-320.jpg)
Ad
Recommended
Stack a Data Structure
Stack a Data StructureForwardBlog Enewzletter The document discusses stacks, which are a fundamental data structure used in programs. It defines a stack as a linear list of items where additions and deletions are restricted to one end, called the top. Common stack operations include push, which adds an element to the top, and pop, which removes an element from the top. Stacks have applications in parsing expressions, reversing strings, implementing depth-first search algorithms, and calculating arithmetic expressions in prefix and postfix notation. Stacks can be implemented using static arrays or dynamic arrays/linked lists.
Data Structure (Stack)
Data Structure (Stack)Adam Mukharil Bachtiar Stack is a data structure that only allows elements to be added and removed from one end, called the top. It has components like a top pointer variable, elements that hold data, and a maximum size. Stacks can be implemented as arrays or linked lists. The main operations on a stack are push, which adds an element to the top, and pop, which removes an element from the top. These operations work similarly in array and linked list implementations, by incrementing or decrementing the top pointer and adding or removing the top element.
stack and queue array implementation in java.
stack and queue array implementation in java.CIIT Atd. This document discusses stack and queue data structures. It provides code examples in Java to demonstrate push and pop operations in a stack and enqueue and dequeue operations in a queue using arrays. Key aspects covered include LIFO and FIFO behavior, stack and queue operations, and sample code to implement stacks and queues in Java with output examples.
Stack Data Structure
Stack Data StructureRabin BK The document discusses stack data structures. It defines a stack as a linear data structure that follows the LIFO (last in, first out) principle. Elements can only be inserted or removed from one end, called the top. Common stack operations include push to add an element, pop to remove an element, and functions to check if the stack is empty or full. Stacks have many real-world applications like processing function calls and arithmetic expressions.
Stack Data Structure & It's Application 
Stack Data Structure & It's Application Tech_MX Stack is a last-in, first-out (LIFO) data structure where elements are inserted and removed from the top. Pushing adds an element to the top of the stack, while popping removes the top element. A stack overflow occurs when pushing to a full stack, while a stack underflow happens when popping an empty stack. Stack applications include system startup/shutdown processes, function calling where the last function called is the first to return, and argument passing in C where arguments are pushed right-to-left and popped left-to-right.
Stack & queue
Stack & queueSiddique Ibrahim Stacks are data structures that follow LIFO (last in, first out) ordering. Elements can only be added to or removed from one end, called the top. Stacks are used to maintain information between main programs and subroutines. Elements are pushed onto the stack by decrementing the stack pointer and storing the element, and popped off by incrementing the stack pointer after retrieving the element. Operations must check that the stack is not empty before popping or full before pushing to prevent errors.
Stacks overview with its applications
Stacks overview with its applicationsSaqib Saeed Stacks are linear data structures where elements are inserted and removed from the same end, known as the top. Common stack operations include push to add an element, pop to remove the top element, and peek to view the top element without removing it. Stacks are often implemented using arrays or linked lists and have O(1) time complexity for operations. Some applications of stacks include reversing data, converting numbers between bases, expression conversions, and backtracking problems like N-Queens.
Data structure Stack
Data structure StackPraveen Vishwakarma This document provides information about stacks as a data structure. It defines a stack as a linear data structure that only allows additions or deletions at one end, following the last-in, first-out (LIFO) principle. The key operations on a stack are push, which adds an element to the top, and pop, which removes an element from the top. The document also discusses stack terminology, different types of notations for expressions (infix, prefix, postfix), algorithms for converting between notations using a stack, an example C program for implementing a stack using an array, and summarizes the main characteristics of stacks.
Stack Data Structure
Stack Data StructureAfaq Mansoor Khan These slides are part of a full series of slides which covers almost all the basic concepts of data structures and algorithms.
Part 8
Project of data structure
Project of data structureUmme habiba The document discusses various applications of stacks including:
1) Reversing strings by pushing characters onto a stack and popping them off in reverse order.
2) Calculator operations using postfix notation and a stack.
3) Recursive functions using a stack to store previous function calls and variables.
4) Determining if a word is a palindrome by pushing characters onto a stack and comparing to the popped off characters.
Code examples are provided for reversing strings, recursive summation, and determining palindromes using stacks.
Stack
StackZaid Shabbir A stack is a data structure where items can only be inserted and removed from one end. The last item inserted is the first item removed (LIFO). Common examples include stacks of books, plates, or bank transactions. Key stack operations are push to insert, pop to remove, and functions to check if the stack is empty or full. Stacks can be used to implement operations like reversing a string, converting infix to postfix notation, and evaluating arithmetic expressions.
stack presentation
stack presentationShivalik college of engineering The document introduces stacks and discusses their implementation and applications. It defines a stack as a data structure that follows LIFO order, where elements can only be added and removed from one end. Stacks have two main implementations - using arrays and linked lists. Common applications of stacks include undo/redo in editors, browser history, and evaluating postfix expressions.
Data structure stack&queue basics
Data structure stack&queue basicsSelvin Josy Bai Somu This document discusses stacks and queues, which are linear data structures. Stacks follow LIFO (last in, first out) and use push and pop operations. Queues follow FIFO (first in, first out) and use insertion at the rear and deletion at the front. Real-world examples of stacks include discs in a holder and tokens in a stack. Real-world examples of queues include lines at counters. Stacks and queues have various applications like reversing strings, expression evaluation, job scheduling, and memory/process management in operating systems.
Introduction to stack
Introduction to stackvaibhav2910 Stacks are linear data structures that only allow insertion and deletion of elements from one end, called the top. Elements are inserted via a push operation and deleted via a pop operation. Stacks can be implemented using arrays, with a pointer tracking the top element. Common applications of stacks include reversing the order of elements and evaluating mathematical expressions by treating them as a postfix notation.
Stack of Data structure
Stack of Data structureSheikh Monirul Hasan Data structure Stack presentation for university student .this presentation created by "Sheikh-Monirul-Hasan " in Department of computer science at Green University of Bangladesh.
STACK ( LIFO STRUCTURE) - Data Structure
STACK ( LIFO STRUCTURE) - Data StructureYaksh Jethva Stack which is known as LIFO structure.Which is type of the Linear data structure and it is Non-Primitive data structure.
Definition:Non primitive data structure are not a basic data structure and depends on other primitive data structure (Integer,float etc).
Non primitive data structure can't be operated by machine level instruction directly.
Stack in Sata Structure
Stack in Sata StructureMuhazzab Chouhadry Stack is very popular and important data structure and very commonly used and studied data structure.
Stacks, Queues, Deques
Stacks, Queues, DequesA-Tech and Software Development Stacks, Queues, and Deques describes different data structures and their properties. Stacks follow LIFO order with insertion and removal at the same end. Queues follow FIFO order with insertion at one end and removal at the other. Deques allow insertion and removal at both ends. These structures can be implemented using arrays or linked lists.
STACKS IN DATASTRUCTURE
STACKS IN DATASTRUCTUREArchie Jamwal This document discusses stacks as a linear data structure. It defines a stack as a last-in, first-out (LIFO) collection where the last item added is the first removed. The core stack operations of push and pop are introduced, along with algorithms to insert, delete, and display items in a stack. Examples of stack applications include reversing strings, checking validity of expressions with nested parentheses, and converting infix notation to postfix.
Stack project
Stack projectAmr Aboelgood A stack is a linear data structure that follows the last-in, first-out (LIFO) principle. Elements are inserted and removed from one end called the top. The basic operations are push, which inserts an element at the top, and pop, which removes the top element. Stacks have many real-world applications like piles of books and evaluating mathematical expressions. An array can be used to implement a stack by storing elements from index 0 to the top index, and incrementing or decrementing the top index during push and pop operations.
Stack
StackSamsil Arefin A stack is a Last In, First Out (LIFO) data structure where items added last are removed first. When an item is added to a stack, it is placed on the "top" of the stack, and when an item is removed it is taken from the top. Items are removed from the stack in the reverse order that they were inserted. The two main operations on a stack are PUSH, which adds an item to the top, and POP, which removes and returns the top item.
Introduction To Stack
Introduction To StackEducation Front This document introduces stacks and their operations. It defines a stack as a LIFO data structure where insertion and deletion is done from one end. The core operations on a stack are push to insert and pop to delete elements. Stacks can be implemented using arrays or linked lists. The document describes push and pop algorithms for stacks implemented with arrays. It provides examples of applications of stacks, including for recursion, arithmetic expressions, and the Towers of Hanoi problem.
Stacks
Stackssweta dargad Data Structure- Stack operations may involve initializing the stack, using it and then de-initializing it. Apart from these basic stuffs, a stack is used for the following two primary operations −
PUSH, POP, PEEP
Queue AS an ADT (Abstract Data Type)
Queue AS an ADT (Abstract Data Type)Self-Employed A queue is a first-in, first-out (FIFO) data structure where elements are inserted at the rear and deleted from the front. There are two common implementations - a linear array implementation where the front and rear indices are incremented as elements are added/removed, and a circular array implementation where the indices wrap around to avoid unused space. Queues have applications in printing, scheduling, and call centers where requests are handled in the order received.
Stack and its Applications : Data Structures ADT
Stack and its Applications : Data Structures ADTSoumen Santra Stacks are a data structure that follow the last-in, first-out (LIFO) principle. Elements are inserted and removed from the same end called the top of the stack. Common stack operations include push to add an element, pop to remove an element, peek to view the top element, and isEmpty to check if the stack is empty. Stacks have various applications like representing function call stacks, evaluating mathematical expressions, and solving puzzles like the Towers of Hanoi. They can be implemented using arrays or linked lists.
2.1 STACK & QUEUE ADTS
2.1 STACK & QUEUE ADTSP. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai This document discusses data structures stacks and queues. It provides definitions and examples of stacks and queues. Stacks follow LIFO (last in first out) and are useful for undo sequences and function calls. Queues follow FIFO (first in first out) and are useful for things like printer queues. The document discusses implementations of stacks and queues using arrays and linked lists. It provides pseudocode for common stack and queue operations like push, pop, enqueue, dequeue.
Stacks and Queue - Data Structures
Stacks and Queue - Data StructuresDr. Jasmine Beulah Gnanadurai The document discusses stacks and queues as abstract data types. It describes their basic operations and implementations using arrays. Stacks follow LIFO (last-in, first-out) order and can be used for applications like undo operations. Queues follow FIFO (first-in, first-out) order and can be used where ordering of elements is important, like in printing queues. The document also discusses infix, prefix and postfix notations for arithmetic expressions and provides an algorithm to convert infix to postfix notation using a stack. Finally, it describes different types of queues including linear and circular queues.
Queues
QueuesAshim Lamichhane Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
Stack Data structure
Stack Data structureB Liyanage Asanka This document provides an overview of stacks as a data structure. It defines stacks as linear structures that store data in a last-in, first-out manner. Key points covered include common stack operations like push and pop, complexity analysis, examples of where stacks are used, and C++ code for implementing a stack class with methods like push, pop, peek, and isEmpty.
Stack Data Structure V1.0
Stack Data Structure V1.0Zidny Nafan The document discusses stacks, which are linear data structures that follow the LIFO (last-in, first-out) principle. Stacks allow elements to be inserted and removed from one end through push and pop operations. Common stack operations are described like push, pop, isEmpty and their functions. Examples of stack operations and conversions between infix, prefix and postfix notations are provided.
Ad
More Related Content
What's hot (20)
Stack Data Structure
Stack Data StructureAfaq Mansoor Khan These slides are part of a full series of slides which covers almost all the basic concepts of data structures and algorithms.
Part 8
Project of data structure
Project of data structureUmme habiba The document discusses various applications of stacks including:
1) Reversing strings by pushing characters onto a stack and popping them off in reverse order.
2) Calculator operations using postfix notation and a stack.
3) Recursive functions using a stack to store previous function calls and variables.
4) Determining if a word is a palindrome by pushing characters onto a stack and comparing to the popped off characters.
Code examples are provided for reversing strings, recursive summation, and determining palindromes using stacks.
Stack
StackZaid Shabbir A stack is a data structure where items can only be inserted and removed from one end. The last item inserted is the first item removed (LIFO). Common examples include stacks of books, plates, or bank transactions. Key stack operations are push to insert, pop to remove, and functions to check if the stack is empty or full. Stacks can be used to implement operations like reversing a string, converting infix to postfix notation, and evaluating arithmetic expressions.
stack presentation
stack presentationShivalik college of engineering The document introduces stacks and discusses their implementation and applications. It defines a stack as a data structure that follows LIFO order, where elements can only be added and removed from one end. Stacks have two main implementations - using arrays and linked lists. Common applications of stacks include undo/redo in editors, browser history, and evaluating postfix expressions.
Data structure stack&queue basics
Data structure stack&queue basicsSelvin Josy Bai Somu This document discusses stacks and queues, which are linear data structures. Stacks follow LIFO (last in, first out) and use push and pop operations. Queues follow FIFO (first in, first out) and use insertion at the rear and deletion at the front. Real-world examples of stacks include discs in a holder and tokens in a stack. Real-world examples of queues include lines at counters. Stacks and queues have various applications like reversing strings, expression evaluation, job scheduling, and memory/process management in operating systems.
Introduction to stack
Introduction to stackvaibhav2910 Stacks are linear data structures that only allow insertion and deletion of elements from one end, called the top. Elements are inserted via a push operation and deleted via a pop operation. Stacks can be implemented using arrays, with a pointer tracking the top element. Common applications of stacks include reversing the order of elements and evaluating mathematical expressions by treating them as a postfix notation.
Stack of Data structure
Stack of Data structureSheikh Monirul Hasan Data structure Stack presentation for university student .this presentation created by "Sheikh-Monirul-Hasan " in Department of computer science at Green University of Bangladesh.
STACK ( LIFO STRUCTURE) - Data Structure
STACK ( LIFO STRUCTURE) - Data StructureYaksh Jethva Stack which is known as LIFO structure.Which is type of the Linear data structure and it is Non-Primitive data structure.
Definition:Non primitive data structure are not a basic data structure and depends on other primitive data structure (Integer,float etc).
Non primitive data structure can't be operated by machine level instruction directly.
Stack in Sata Structure
Stack in Sata StructureMuhazzab Chouhadry Stack is very popular and important data structure and very commonly used and studied data structure.
Stacks, Queues, Deques
Stacks, Queues, DequesA-Tech and Software Development Stacks, Queues, and Deques describes different data structures and their properties. Stacks follow LIFO order with insertion and removal at the same end. Queues follow FIFO order with insertion at one end and removal at the other. Deques allow insertion and removal at both ends. These structures can be implemented using arrays or linked lists.
STACKS IN DATASTRUCTURE
STACKS IN DATASTRUCTUREArchie Jamwal This document discusses stacks as a linear data structure. It defines a stack as a last-in, first-out (LIFO) collection where the last item added is the first removed. The core stack operations of push and pop are introduced, along with algorithms to insert, delete, and display items in a stack. Examples of stack applications include reversing strings, checking validity of expressions with nested parentheses, and converting infix notation to postfix.
Stack project
Stack projectAmr Aboelgood A stack is a linear data structure that follows the last-in, first-out (LIFO) principle. Elements are inserted and removed from one end called the top. The basic operations are push, which inserts an element at the top, and pop, which removes the top element. Stacks have many real-world applications like piles of books and evaluating mathematical expressions. An array can be used to implement a stack by storing elements from index 0 to the top index, and incrementing or decrementing the top index during push and pop operations.
Stack
StackSamsil Arefin A stack is a Last In, First Out (LIFO) data structure where items added last are removed first. When an item is added to a stack, it is placed on the "top" of the stack, and when an item is removed it is taken from the top. Items are removed from the stack in the reverse order that they were inserted. The two main operations on a stack are PUSH, which adds an item to the top, and POP, which removes and returns the top item.
Introduction To Stack
Introduction To StackEducation Front This document introduces stacks and their operations. It defines a stack as a LIFO data structure where insertion and deletion is done from one end. The core operations on a stack are push to insert and pop to delete elements. Stacks can be implemented using arrays or linked lists. The document describes push and pop algorithms for stacks implemented with arrays. It provides examples of applications of stacks, including for recursion, arithmetic expressions, and the Towers of Hanoi problem.
Stacks
Stackssweta dargad Data Structure- Stack operations may involve initializing the stack, using it and then de-initializing it. Apart from these basic stuffs, a stack is used for the following two primary operations −
PUSH, POP, PEEP
Queue AS an ADT (Abstract Data Type)
Queue AS an ADT (Abstract Data Type)Self-Employed A queue is a first-in, first-out (FIFO) data structure where elements are inserted at the rear and deleted from the front. There are two common implementations - a linear array implementation where the front and rear indices are incremented as elements are added/removed, and a circular array implementation where the indices wrap around to avoid unused space. Queues have applications in printing, scheduling, and call centers where requests are handled in the order received.
Stack and its Applications : Data Structures ADT
Stack and its Applications : Data Structures ADTSoumen Santra Stacks are a data structure that follow the last-in, first-out (LIFO) principle. Elements are inserted and removed from the same end called the top of the stack. Common stack operations include push to add an element, pop to remove an element, peek to view the top element, and isEmpty to check if the stack is empty. Stacks have various applications like representing function call stacks, evaluating mathematical expressions, and solving puzzles like the Towers of Hanoi. They can be implemented using arrays or linked lists.
2.1 STACK & QUEUE ADTS
2.1 STACK & QUEUE ADTSP. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai This document discusses data structures stacks and queues. It provides definitions and examples of stacks and queues. Stacks follow LIFO (last in first out) and are useful for undo sequences and function calls. Queues follow FIFO (first in first out) and are useful for things like printer queues. The document discusses implementations of stacks and queues using arrays and linked lists. It provides pseudocode for common stack and queue operations like push, pop, enqueue, dequeue.
Stacks and Queue - Data Structures
Stacks and Queue - Data StructuresDr. Jasmine Beulah Gnanadurai The document discusses stacks and queues as abstract data types. It describes their basic operations and implementations using arrays. Stacks follow LIFO (last-in, first-out) order and can be used for applications like undo operations. Queues follow FIFO (first-in, first-out) order and can be used where ordering of elements is important, like in printing queues. The document also discusses infix, prefix and postfix notations for arithmetic expressions and provides an algorithm to convert infix to postfix notation using a stack. Finally, it describes different types of queues including linear and circular queues.
Queues
QueuesAshim Lamichhane Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
Viewers also liked (20)
Stack Data structure
Stack Data structureB Liyanage Asanka This document provides an overview of stacks as a data structure. It defines stacks as linear structures that store data in a last-in, first-out manner. Key points covered include common stack operations like push and pop, complexity analysis, examples of where stacks are used, and C++ code for implementing a stack class with methods like push, pop, peek, and isEmpty.
Stack Data Structure V1.0
Stack Data Structure V1.0Zidny Nafan The document discusses stacks, which are linear data structures that follow the LIFO (last-in, first-out) principle. Stacks allow elements to be inserted and removed from one end through push and pop operations. Common stack operations are described like push, pop, isEmpty and their functions. Examples of stack operations and conversions between infix, prefix and postfix notations are provided.
Queue as data_structure
Queue as data_structureeShikshak The document discusses different types of queues, including their definitions, properties, and implementations. It defines a queue as a linear data structure with two ends - one for adding elements and one for removing them, following a FIFO (first-in, first-out) approach. Key points covered include common queue operations like insertion and removal; circular queues which wrap elements around to avoid overflow; priority queues which order elements by priority; and deques which allow additions and removals from both ends.
Queue data structure
Queue data structureanooppjoseph A queue is a non-primitive linear data structure that follows the FIFO (first-in, first-out) principle. Elements are added to the rear of the queue and removed from the front. Common operations on a queue include insertion (enqueue) and deletion (dequeue). Queues have many real-world applications like waiting in lines and job scheduling. They can be represented using arrays or linked lists.
Trees data structure
Trees data structureSumit Gupta This document defines and describes trees and graphs as non-linear data structures. It explains that a tree is similar to a linked list but allows nodes to have multiple children rather than just one. The document defines key tree terms like height, ancestors, size, and different types of binary trees including strict, full, and complete. It provides properties of binary trees such as the number of nodes in full and complete binary trees based on height.
Rich_Picture--IA_Manager.220131720
Rich_Picture--IA_Manager.220131720Thomas Callaghan The document describes a rich picture visualization for a new Information Architecture (IA) Manager role at Sapient Global Markets. The visualization shows the ecosystem surrounding the IA Manager role, including four key processes related to projects, corporate citizenship, careers, and user experience. Feedback was solicited from other IA Managers on questions, stakeholders, and relationships depicted in the rich picture as well as ways to enhance the visualization.
MeTA MSP workshop: Issues and challenges: Rich picture
MeTA MSP workshop: Issues and challenges: Rich pictureMeTApresents The document discusses rich pictures, which are drawings that illustrate the complexity and relationships within a situation in a holistic way. Rich pictures use pictures, text, symbols and icons to show multiple perspectives on an issue. Developing a rich picture can help identify challenges and opportunities for improvement through group discussion. As an exercise, participants are asked to create rich pictures of their country cases involving key stakeholders in multi-stakeholder processes and identify 5 challenges arising from the relationships and context depicted.
Career Hub Rich Picture
Career Hub Rich Pictureguestc990b6 The document discusses setting up a central career hub website to advertise jobs and events to students from various universities. It notes the desire to have employers directly input job postings and for students to apply for jobs, get notified of suitable opportunities, and find information on career events online. Questions are also raised about how the system would work, whether it needs to interface with other systems, how users will authenticate, and other implementation details.
Viisio based rich picture version 2.0
Viisio based rich picture version 2.0Mithun112 The document discusses using an e-government system to more quickly monitor, transfer, and initiate processes related to issues in government and society. E-government would allow problems to be tracked and addressed faster through electronic means rather than traditional methods. Initiating processes through an e-government system could help improve interactions between government bodies like Congress.
AN UPDATED REVIEW ON THE CONVENTIONAL AND UNCONVENTIONAL RICH PICTURE BUILD...
AN UPDATED REVIEW ON THE CONVENTIONAL AND UNCONVENTIONAL RICH PICTURE BUILD...American Research Thoughts Abstract: The topic of rich picture building exercise (RPBE) comes from the Soft Systems
Methodology (SSM) of P.B. Checkland in the early 80s. Since then, it has been studied and reported
in the academic literature. The recent academic works inspires the writer to review this topic and
argues that the mainstream study on RPBE can be considered as a conventional RPBE. The paper
then points out that there is also an unconventional RPBE which has been neglected in the academic
community. It reasons that the unconventional RPBE is also useful to express the proble m situation,
which is what stage 2 of the conventional SSM is all about. The unconventional RPBE can be
conducted either solely or as a complementary exercise with the conventional RPBE. A number of
RPBE options are identified in the discussion. The paper is intended to contribute to the theoretical
development of the RPBE.
CPI Rich Picture 
CPI Rich Picture Hossam El-Shazly CPI International Group Rich Picture
The above figure represents a brief description of the CPI International Group rich picture. According to Monk & Howard (1998) in their article Methods and Tools, they argued that the rich picture should represents primary stakeholders, their interrelations, their concerns as well as three very important components, structure process & concerns.
The CPI rich pictures illustrates most of the components referred to by Monk & Howard (1998) where it describes the business structure with its three main folds, pharmaceutical, education, and renewable energy. The rich picture also refers to the processes of import, export & registration in the pharmaceutical business where the core of the value creation process in this sector. It also draws a line for both the online and on campus corporate education model that used to support the group business worldwide and finally, the pictures illustrates the types of renewable energy installations & projects where the group is currently involved.
The rich picture also refers to the stakeholders of the CPI business worldwide including, agents, partners, governments, and clients. At the same time it defines the competition scale in business, particularly in the pharmaceutical and the energy markets. The rich picture also illustrates the continuos effect of the local and international policies and regulations in such highly regulated market.
References
Monk, A. & Howard, S. (1998) ‘Methods and tools, the rich picture: A tool for reasoning about work context’, Interactions, 5 (2), pp. 21-30, ACM [Online].
Array data structure
Array data structuremaamir farooq An array is a data structure that stores fixed number of items of the same type. It allows fast access of elements using indices. Basic array operations include traversing elements, inserting/deleting elements, searching for elements, and updating elements. Arrays are zero-indexed and elements are accessed via their index.
Threaded Binary Tree
Threaded Binary Treekhabbab_h OVERVIEW:
Introduction
Definition
Example of Threaded BT.
Types & Structure
One-way .
Double-way.
Structure.
Traversal
Algorithm for Traversal
Traversal Example
Inserting
Algorithm for Inserting
Inserting Example
Comparison With Binary Tree
Advantages and Disadvantages
Why Threaded BT are used?
Conclusion
Reference
Rich Picture One Of The Tools
Rich Picture One Of The Toolsguestc990b6 The document provides information on using rich pictures and business process maps to visualize business processes. It defines rich pictures as pictorial representations that include stakeholders' concerns, conflicts, and processes. The key elements are structures, processes, concerns shown in thought bubbles, and the stakeholders' language. Business process maps visually depict the steps and flow in a business process. They benefit process analysis and improvement. The document includes exercises to guide the creation of rich pictures and business process maps in Microsoft Visio.
Arrays Data Structure
Arrays Data Structurestudent This document discusses linear arrays and algorithms for common operations on arrays such as traversing, inserting, deleting, and sorting elements. It defines a linear array as a list of homogeneous data elements with a lower and upper bound. Algorithms provided include traversing from the lower to upper bound, inserting an element at a specified position by shifting other elements and incrementing the size, deleting an element by shifting elements and decrementing the size, and sorting an array using bubble sort by making multiple passes to swap adjacent elements in descending order.
DSP_FOEHU - MATLAB 03 - The z-Transform
DSP_FOEHU - MATLAB 03 - The z-TransformAmr E. Mohamed DSP_FOEHU - MATLAB 03 - The z-Transform
Chapter 4 - Digital Signal Processing Using MATLAB 3rd_Edition
03 stacks and_queues_using_arrays
03 stacks and_queues_using_arraystameemyousaf The document discusses stacks and their implementation and applications. Stacks are LIFO data structures that can be implemented using arrays. Key operations on stacks include push, pop, peek, isEmpty and isFull. Stacks have various applications including expression evaluation, recursion, function calls and memory management. Stacks can grow either upwards or downwards in the array.
Data structure and its types
Data structure and its typesNavtar Sidhu Brar This document presents information on data structures and their types. It discusses linear data structures like arrays, stacks, queues and linked lists. It describes their representation and common operations like traversing, searching, insertion and deletion. The document also covers non-linear data structures like trees and graphs, describing their representation and operations like searching, insertion and deletion. It was submitted by Navtar Singh to Mrs. Jaspreet Kaur as a presentation on data structures.
Rich pictures
Rich picturesBSBEtalk Rich pictures provides a pictorial summary of the actual situation in the 'systems world' based on inquiries or observations of the 'real world'.
The Rich Picture A Tool For Reasoning About Work Context
The Rich Picture A Tool For Reasoning About Work Contextguestc990b6 This document discusses rich pictures, which are cartoon-like representations that identify stakeholders, their concerns, and the structure underlying a work context. Rich pictures originated in Soft Systems Methodology as a tool for reasoning about multiple viewpoints in a work situation. They typically depict the key stakeholders, their relationships and concerns through diagrams and thought bubbles. The document explains how rich pictures can be used in participatory design and lightweight usability engineering to capture a work context from stakeholders' perspectives and identify tensions between different stakeholders. It provides examples of rich pictures and guidelines for making them effective representations.
AN UPDATED REVIEW ON THE CONVENTIONAL AND UNCONVENTIONAL RICH PICTURE BUILD...
AN UPDATED REVIEW ON THE CONVENTIONAL AND UNCONVENTIONAL RICH PICTURE BUILD...American Research Thoughts
Ad
Similar to data structure, stack, stack data structure (20)
Stack and Queue by M.Gomathi Lecturer
Stack and Queue by M.Gomathi Lecturergomathi chlm This document discusses stacks and queues as abstract data structures. Stacks follow LIFO (last in first out) order, adding and removing elements from one end. Queues follow FIFO (first in first out) order, adding to one end (rear) and removing from the other (front). The document provides examples of stack and queue applications and implementations using arrays.
Stack & Queue
Stack & QueueHasan Mahadi Riaz This presentation summarizes stack and queue data structures. It includes:
- An introduction to linear and non-linear data structures, including arrays, stacks, and queues.
- Definitions of stacks as LIFO data structures and queues as FIFO data structures. Operations for each like push, pop, enqueue, dequeue are described.
- Algorithms for common operations on stacks and queues like insertion, deletion, and display are provided in pseudocode.
- Examples of applications of stacks and queues in areas like reversing strings, scheduling, and buffers.
- Differences between stacks and queues are outlined.
- Code examples in C of implementing stack push/pop and queue enqueue/dequeue operations
Stack organization
Stack organizationchauhankapil This document discusses stack organization and operations. A stack is a last-in, first-out data structure where items added last are retrieved first. It uses a stack pointer to track the top of the stack. Common operations are push, which adds an item to the top of the stack, and pop, which removes an item from the top. Stacks can be implemented with registers, using a stack pointer and data register. Reverse Polish notation places operators after operands, making it suitable for stack-based expression evaluation.
Data Structure 
Data Structure Ibrahim MH Data structure is an arrangement of data in computer's memory. It makes the data quickly available to the processor for required operations.It is a software artifact which allows data to be stored, organized and accessed.
stack 1.pdf
stack 1.pdfhafsa40 This document discusses stacks and their implementation in Python. It begins with an introduction to stacks and their LIFO (last-in, first-out) principle. Key operations on a stack like PUSH and POP are explained. The document then presents an implementation of a stack in Python using a list and defines functions for common stack operations. It also discusses applications of stacks, conversion between infix and postfix notation using a stack, and evaluating postfix expressions.
Stacks in c++
Stacks in c++Vineeta Garg The document discusses stacks in C++. It defines a stack as a data structure that follows LIFO (Last In First Out) principle where the last element added is the first to be removed. Stacks can be implemented using arrays or linked lists. The key operations on a stack are push which adds an element and pop which removes an element. Example applications of stacks include function call stacks, converting infix to postfix notation, and reversing arrays.
Stacks queues-1220971554378778-9
Stacks queues-1220971554378778-9Getachew Ganfur The document discusses stacks and queues as data structures. Stacks follow LIFO (Last In First Out) and involve push and pop operations on an array or linked list. Queues follow FIFO (First In First Out) and involve insert and delete operations, with insertion at the rear and deletion at the front. The document provides examples of implementing stacks and queues using arrays and linked lists, and describes the basic operations like creation, insertion, deletion, checking for empty/full.
Rana Junaid Rasheed
Rana Junaid RasheedRana junaid Rasheed The document discusses stacks and queues as data structures. Stacks follow LIFO (Last In First Out) and allow insertion and deletion from one end only. Queues follow FIFO (First In First Out) and allow insertion from one end and deletion from the other. Both can be implemented using arrays or linked lists. Common operations on stacks are push and pop, while common operations on queues are insert and delete.
STACK AND ITS OPERATIONS IN DATA STRUCTURES.pptx
STACK AND ITS OPERATIONS IN DATA STRUCTURES.pptxKALPANAC20 This document discusses stacks as a data structure. It defines a stack as a Last In First Out (LIFO) structure where the last item inserted is the first out. Key stack operations like push, pop, peek and isEmpty are described. Examples of stack applications include checking for balanced brackets, converting infix to postfix notation, implementing an undo/redo feature and recursion. The document also provides pseudocode for converting an infix expression to postfix using a stack and describes how a postfix calculator evaluates expressions.
SAMPLE QUESTION PAPER (THEORY) CLASS: XII SESSION: 2024-25 COMPUTER SCIENCE...
SAMPLE QUESTION PAPER (THEORY) CLASS: XII SESSION: 2024-25 COMPUTER SCIENCE...MafnithaKK SAMPLE QUESTION PAPER (THEORY)
CLASS: XII SESSION: 2024-25
COMPUTER SCIENCE (083)
stack
Time allowed: 3 Hours Maximum Marks: 70
SAMPLE QUESTION PAPER (THEORY) CLASS: XII SESSION: 2024-25 COMPUTER SCIENCE...
SAMPLE QUESTION PAPER (THEORY) CLASS: XII SESSION: 2024-25 COMPUTER SCIENCE...MafnithaKK SAMPLE QUESTION PAPER (THEORY)
CLASS: XII SESSION: 2024-25
COMPUTER SCIENCE (083)
Time allowed: 3 Hours Maximum Marks: 70
SAMPLE QUESTION PAPER (THEORY) CLASS: XII SESSION: 2024-25 COMPUTER SCIENCE...
SAMPLE QUESTION PAPER (THEORY) CLASS: XII SESSION: 2024-25 COMPUTER SCIENCE...MafnithaKK SAMPLE QUESTION PAPER (THEORY)
CLASS: XII SESSION: 2024-25
COMPUTER SCIENCE (083)
stack
Time allowed: 3 Hours Maximum Marks: 70
SAMPLE QUESTION PAPER (THEORY) CLASS: XII SESSION: 2024-25 COMPUTER SCIENCE...
SAMPLE QUESTION PAPER (THEORY) CLASS: XII SESSION: 2024-25 COMPUTER SCIENCE...MafnithaKK SAMPLE QUESTION PAPER (THEORY)
CLASS: XII SESSION: 2024-25
COMPUTER SCIENCE (083)
Time allowed: 3 Hours Maximum Marks: 70
Stack data structure
Stack data structurerogineojerio020496 The document discusses stacks and their implementation and operations. It defines a stack as a linear data structure that follows the LIFO principle. Stacks can be implemented using arrays or linked lists. The two main operations on a stack are push and pop. Push adds an element to the top of the stack, while pop removes an element from the top. The document provides examples of these operations and discusses applications of stacks such as converting infix to postfix notation.
Stack and Queue 
Stack and Queue Apurbo Datta The document discusses stacks and queues. It defines stacks as LIFO data structures and queues as FIFO data structures. It describes basic stack operations like push and pop and basic queue operations like enqueue and dequeue. It then discusses implementing stacks and queues using arrays and linked lists, outlining the key operations and memory requirements for each implementation.
VCE Unit 03vv.pptx
VCE Unit 03vv.pptxskilljiolms The document discusses data structures and algorithms including stacks, queues, and their implementations using arrays and linked lists. Key points:
1. Stacks follow LIFO principle and allow insertion/removal at one end only. Queues follow FIFO principle. Both can be implemented using arrays or linked lists.
2. Common stack operations like push, pop, and peek have O(1) time complexity. Queue operations like enqueue and dequeue also have O(1) time complexity.
3. Linked list implementations of stacks and queues allocate memory dynamically and don't have size limits like arrays.
4. A circular queue treats the last node as connected to the first, forming a ring. This allows insertion
Stack & Queue
Stack & QueueSAGARDAVE29 A stack is a Last In First Out (LIFO) data structure that supports push and pop operations. Push adds an element to the top of the stack, while pop removes an element from the top. The Java Stack class models stacks. Stacks have many uses including maintaining browser back-and-forth navigation, reversing words, solving mazes using backtracking, and evaluating mathematical expressions.
Stack data structures with definition and code
Stack data structures with definition and codebansidharj11 Stack data structures with definition and code.
unit 5 stack & queue.ppt
unit 5 stack & queue.pptSeethaDinesh The document discusses stacks and queues, which are linear data structures. It defines a stack as a first-in, last-out (FILO) structure where elements can only be inserted or removed from one end. A queue is defined as a first-in, first-out (FIFO) structure where elements can only be inserted at one end and removed from the other. The document then describes common stack and queue operations like push, pop, enqueue, dequeue and provides examples of their applications. It also discusses two common implementations of stacks and queues using arrays and linked lists.
Ad
More from pcnmtutorials (18)
12. Map | WeakMap | ES6 | JavaScript | Typescript
12. Map | WeakMap | ES6 | JavaScript | Typescriptpcnmtutorials The map object holds the data in the form of key-value pair.
The value may be any object or primitive data type. The map object iterates the items in insertion order.
11. Iterators | ES6 | JavaScript | TypeScript
11. Iterators | ES6 | JavaScript | TypeScriptpcnmtutorials This document discusses iterators in ES6. It explains that an object is considered iterable if it has a Symbol.iterator property implementation. Arrays, Maps, and Sets have built-in iterator implementations, while objects do not by default. The document provides examples of using for-of loops to iterate over arrays, sets, and customizes an object to be iterable by implementing Symbol.iterator.
10. symbols | ES6 | JavaScript | TypeScript
10. symbols | ES6 | JavaScript | TypeScriptpcnmtutorials The symbol is primitive data type introduced in ES6. We can create a symbol by using Symbol factory function.
9. ES6 | Let And Const | TypeScript | JavaScript
9. ES6 | Let And Const | TypeScript | JavaScriptpcnmtutorials Let is a used create a variable. The variable belongs block scope. we can't create duplicate variables using let keyword.
8. Spread Syntax | ES6 | JavaScript
8. Spread Syntax | ES6 | JavaScriptpcnmtutorials Spread syntax is an Array / Object expression to be expand in place where zero or more key - value pairs are expected.
7. Rest parameters | ES6 | JavaScript
7. Rest parameters | ES6 | JavaScriptpcnmtutorials The document discusses rest parameters in ES6, which allow a function to accept an indefinite number of arguments as an array. It explains that rest parameters must be the last part of a function's parameters and are prefixed with three dots. The document compares rest parameters to the arguments object, noting rest parameters can be iterated over like arrays but arguments cannot. It also demonstrates how rest parameters can be destructured to assign array elements to distinct variables in the function body.
6. Default parameters | ES6 | JavaScript
6. Default parameters | ES6 | JavaScriptpcnmtutorials Default function parameters allow parameters to be initialized with default values if no value is passed when calling the function. Default parameters can be destructured and the default values can be functions that are evaluated at call time. An example shows a function that returns an employee ID with a default value if no ID is passed, and another function that returns a full name using default first and last name values if not passed.
5. Destructuring | ES6 | Assignment 
5. Destructuring | ES6 | Assignment pcnmtutorials Destructuring is an expression. It makes possible to unpack values from arrays, objects, function response, variable declarations.
4. Template strings | ES6
4. Template strings | ES6pcnmtutorials Template strings are string literals that allow for embedded expressions and support both single and multiline strings. They are enclosed in backticks and allow expressions indicated by a dollar sign and curly braces. The document provides the syntax for template strings and examples of single line, multiline, and expressions used in template strings.
3. Object literals | ES6 | JSON
3. Object literals | ES6 | JSONpcnmtutorials An object literal is a list of zero or more params of property names and associated values enclosed in curly braces ( { } ). An object literal is super set of json object. The values may be number, string, object, expression, function response, etc.
2. Classes | Object Oriented Programming in JavaScript | ES6 | JavaScript
2. Classes | Object Oriented Programming in JavaScript | ES6 | JavaScriptpcnmtutorials A class is a template / blue print is used to create an object. In JavaScript class is a special kind of function. In JavaScript there are two ways to create class one is the class declaration and the second one is class expressions.
1. Arrow Functions | JavaScript | ES6
1. Arrow Functions | JavaScript | ES6pcnmtutorials Arrow function expressions are new functions available in ES6. Using arrow function expressions we can reduce function coding. In Arrow function expressions there is no this inside arrow function. if you call this it will take immediate parent's context.
Decorators | TypeScript | Angular2 Decorators
Decorators | TypeScript | Angular2 Decoratorspcnmtutorials Decorator is a special declaration in TypeScript. Decorators can able to apply to class, method, accessor, property and parameter declarations.
Web workers | JavaScript | HTML API
Web workers | JavaScript | HTML APIpcnmtutorials Web workers are scripts which are runs in background without interrupting UI threads. Web workers communication happening through event messaging concept.
Declaration merging | Typescript
Declaration merging | Typescriptpcnmtutorials Declaration merging is the process where the compiler merges two or more declarations with the same name into a single definition. Declarations can create namespaces, types, or values. Interface merging joins the members of interface declarations with the same name into a single interface, requiring unique members. Namespace merging combines exported functions or classes from namespaces with the same name. Declaration merging also allows merging namespaces with classes or functions by referencing properties and values from the namespace. However, classes cannot merge with other classes or variables in TypeScript.
Module resolution | Typescript
Module resolution | Typescriptpcnmtutorials This Presentation describes in details about module resolution concept in typescript. Based on this presentation you will know how compiler handling the modules concept.
Material design in android L developer Preview
Material design in android L developer Previewpcnmtutorials Material Design in Android provides guidelines for visual, motion, and interactive designs across platforms and devices. The Android L Developer Preview introduces new components and features related to material design like a new material theme, widgets for complex views, and APIs for custom shadows and animations. Key elements of material design in Android apps include color palettes, touch feedback animations, activity transitions, and use of the RecyclerView and CardView widgets which support material design out of the box.
1.introduction to data_structures
1.introduction to data_structurespcnmtutorials This document discusses different types of data structures, including linear and non-linear structures. Linear structures like arrays, stacks, queues, and linked lists store data in a linear order. Stacks follow LIFO while queues follow FIFO. Non-linear structures like trees and graphs store data in a non-linear fashion. Trees have a root node, child nodes, and terminal nodes. Graphs are sets of nodes connected by edges that can form connected or non-connected graphs.
Recently uploaded (20)
Presentation of the MIPLM subject matter expert Erdem Kaya
Presentation of the MIPLM subject matter expert Erdem KayaMIPLM Presentation of the MIPLM subject matter expert Erdem Kaya
Phoenix – A Collaborative Renewal of Children’s and Young People’s Services C...
Phoenix – A Collaborative Renewal of Children’s and Young People’s Services C...Library Association of Ireland
How to manage Multiple Warehouses for multiple floors in odoo point of sale
How to manage Multiple Warehouses for multiple floors in odoo point of saleCeline George The need for multiple warehouses and effective inventory management is crucial for companies aiming to optimize their operations, enhance customer satisfaction, and maintain a competitive edge.
YSPH VMOC Special Report - Measles Outbreak Southwest US 5-3-2025.pptx
YSPH VMOC Special Report - Measles Outbreak Southwest US 5-3-2025.pptxYale School of Public Health - The Virtual Medical Operations Center (VMOC) A measles outbreak originating in West Texas has been linked to confirmed cases in New Mexico, with additional cases reported in Oklahoma and Kansas. The current case count is 817 from Texas, New Mexico, Oklahoma, and Kansas. 97 individuals have required hospitalization, and 3 deaths, 2 children in Texas and one adult in New Mexico. These fatalities mark the first measles-related deaths in the United States since 2015 and the first pediatric measles death since 2003.
The YSPH Virtual Medical Operations Center Briefs (VMOC) were created as a service-learning project by faculty and graduate students at the Yale School of Public Health in response to the 2010 Haiti Earthquake. Each year, the VMOC Briefs are produced by students enrolled in Environmental Health Science Course 581 - Public Health Emergencies: Disaster Planning and Response. These briefs compile diverse information sources – including status reports, maps, news articles, and web content– into a single, easily digestible document that can be widely shared and used interactively. Key features of this report include:
- Comprehensive Overview: Provides situation updates, maps, relevant news, and web resources.
- Accessibility: Designed for easy reading, wide distribution, and interactive use.
- Collaboration: The “unlocked" format enables other responders to share, copy, and adapt seamlessly. The students learn by doing, quickly discovering how and where to find critical information and presenting it in an easily understood manner.
CURRENT CASE COUNT: 817 (As of 05/3/2025)
• Texas: 688 (+20)(62% of these cases are in Gaines County).
• New Mexico: 67 (+1 )(92.4% of the cases are from Eddy County)
• Oklahoma: 16 (+1)
• Kansas: 46 (32% of the cases are from Gray County)
HOSPITALIZATIONS: 97 (+2)
• Texas: 89 (+2) - This is 13.02% of all TX cases.
• New Mexico: 7 - This is 10.6% of all NM cases.
• Kansas: 1 - This is 2.7% of all KS cases.
DEATHS: 3
• Texas: 2 – This is 0.31% of all cases
• New Mexico: 1 – This is 1.54% of all cases
US NATIONAL CASE COUNT: 967 (Confirmed and suspected):
INTERNATIONAL SPREAD (As of 4/2/2025)
• Mexico – 865 (+58)
‒Chihuahua, Mexico: 844 (+58) cases, 3 hospitalizations, 1 fatality
• Canada: 1531 (+270) (This reflects Ontario's Outbreak, which began 11/24)
‒Ontario, Canada – 1243 (+223) cases, 84 hospitalizations.
• Europe: 6,814
CBSE - Grade 8 - Science - Chemistry - Metals and Non Metals - Worksheet
CBSE - Grade 8 - Science - Chemistry - Metals and Non Metals - WorksheetSritoma Majumder Introduction
All the materials around us are made up of elements. These elements can be broadly divided into two major groups:
Metals
Non-Metals
Each group has its own unique physical and chemical properties. Let's understand them one by one.
Physical Properties
1. Appearance
Metals: Shiny (lustrous). Example: gold, silver, copper.
Non-metals: Dull appearance (except iodine, which is shiny).
2. Hardness
Metals: Generally hard. Example: iron.
Non-metals: Usually soft (except diamond, a form of carbon, which is very hard).
3. State
Metals: Mostly solids at room temperature (except mercury, which is a liquid).
Non-metals: Can be solids, liquids, or gases. Example: oxygen (gas), bromine (liquid), sulphur (solid).
4. Malleability
Metals: Can be hammered into thin sheets (malleable).
Non-metals: Not malleable. They break when hammered (brittle).
5. Ductility
Metals: Can be drawn into wires (ductile).
Non-metals: Not ductile.
6. Conductivity
Metals: Good conductors of heat and electricity.
Non-metals: Poor conductors (except graphite, which is a good conductor).
7. Sonorous Nature
Metals: Produce a ringing sound when struck.
Non-metals: Do not produce sound.
Chemical Properties
1. Reaction with Oxygen
Metals react with oxygen to form metal oxides.
These metal oxides are usually basic.
Non-metals react with oxygen to form non-metallic oxides.
These oxides are usually acidic.
2. Reaction with Water
Metals:
Some react vigorously (e.g., sodium).
Some react slowly (e.g., iron).
Some do not react at all (e.g., gold, silver).
Non-metals: Generally do not react with water.
3. Reaction with Acids
Metals react with acids to produce salt and hydrogen gas.
Non-metals: Do not react with acids.
4. Reaction with Bases
Some non-metals react with bases to form salts, but this is rare.
Metals generally do not react with bases directly (except amphoteric metals like aluminum and zinc).
Displacement Reaction
More reactive metals can displace less reactive metals from their salt solutions.
Uses of Metals
Iron: Making machines, tools, and buildings.
Aluminum: Used in aircraft, utensils.
Copper: Electrical wires.
Gold and Silver: Jewelry.
Zinc: Coating iron to prevent rusting (galvanization).
Uses of Non-Metals
Oxygen: Breathing.
Nitrogen: Fertilizers.
Chlorine: Water purification.
Carbon: Fuel (coal), steel-making (coke).
Iodine: Medicines.
Alloys
An alloy is a mixture of metals or a metal with a non-metal.
Alloys have improved properties like strength, resistance to rusting.
Presentation on Tourism Product Development By Md Shaifullar Rabbi
Presentation on Tourism Product Development By Md Shaifullar RabbiMd Shaifullar Rabbi Presentation on Tourism Product Development By Md Shaifullar Rabbi, Assistant Manager- SABRE Bangladesh.
How to Customize Your Financial Reports & Tax Reports With Odoo 17 Accounting
How to Customize Your Financial Reports & Tax Reports With Odoo 17 AccountingCeline George The Accounting module in Odoo 17 is a complete tool designed to manage all financial aspects of a business. Odoo offers a comprehensive set of tools for generating financial and tax reports, which are crucial for managing a company's finances and ensuring compliance with tax regulations.
K12 Tableau Tuesday - Algebra Equity and Access in Atlanta Public Schools
K12 Tableau Tuesday - Algebra Equity and Access in Atlanta Public Schoolsdogden2 Algebra 1 is often described as a “gateway” class, a pivotal moment that can shape the rest of a student’s K–12 education. Early access is key: successfully completing Algebra 1 in middle school allows students to complete advanced math and science coursework in high school, which research shows lead to higher wages and lower rates of unemployment in adulthood.
Learn how The Atlanta Public Schools is using their data to create a more equitable enrollment in middle school Algebra classes.
pulse ppt.pptx Types of pulse , characteristics of pulse , Alteration of pulse
pulse ppt.pptx Types of pulse , characteristics of pulse , Alteration of pulsesushreesangita003 what is pulse ?
Purpose
physiology and Regulation of pulse
Characteristics of pulse
factors affecting pulse
Sites of pulse
Alteration of pulse
for BSC Nursing 1st semester
for Gnm Nursing 1st year
Students .
vitalsign
SCI BIZ TECH QUIZ (OPEN) PRELIMS XTASY 2025.pptx
SCI BIZ TECH QUIZ (OPEN) PRELIMS XTASY 2025.pptxRonisha Das SCI BIZ TECH QUIZ (OPEN) PRELIMS - XTASY 2025
How to Subscribe Newsletter From Odoo 18 Website
How to Subscribe Newsletter From Odoo 18 WebsiteCeline George Newsletter is a powerful tool that effectively manage the email marketing . It allows us to send professional looking HTML formatted emails. Under the Mailing Lists in Email Marketing we can find all the Newsletter.
Biophysics Chapter 3 Methods of Studying Macromolecules.pdf
Biophysics Chapter 3 Methods of Studying Macromolecules.pdfPKLI-Institute of Nursing and Allied Health Sciences Lahore , Pakistan. This chapter provides an in-depth overview of the viscosity of macromolecules, an essential concept in biophysics and medical sciences, especially in understanding fluid behavior like blood flow in the human body.
Key concepts covered include:
✅ Definition and Types of Viscosity: Dynamic vs. Kinematic viscosity, cohesion, and adhesion.
⚙️ Methods of Measuring Viscosity:
Rotary Viscometer
Vibrational Viscometer
Falling Object Method
Capillary Viscometer
🌡️ Factors Affecting Viscosity: Temperature, composition, flow rate.
🩺 Clinical Relevance: Impact of blood viscosity in cardiovascular health.
🌊 Fluid Dynamics: Laminar vs. turbulent flow, Reynolds number.
🔬 Extension Techniques:
Chromatography (adsorption, partition, TLC, etc.)
Electrophoresis (protein/DNA separation)
Sedimentation and Centrifugation methods.
apa-style-referencing-visual-guide-2025.pdf
apa-style-referencing-visual-guide-2025.pdfIshika Ghosh Title: A Quick and Illustrated Guide to APA Style Referencing (7th Edition)
This visual and beginner-friendly guide simplifies the APA referencing style (7th edition) for academic writing. Designed especially for commerce students and research beginners, it includes:
✅ Real examples from original research papers
✅ Color-coded diagrams for clarity
✅ Key rules for in-text citation and reference list formatting
✅ Free citation tools like Mendeley & Zotero explained
Whether you're writing a college assignment, dissertation, or academic article, this guide will help you cite your sources correctly, confidently, and consistent.
Created by: Prof. Ishika Ghosh,
Faculty.
📩 For queries or feedback: [email protected]
Metamorphosis: Life's Transformative Journey
Metamorphosis: Life's Transformative JourneyArshad Shaikh *Metamorphosis* is a biological process where an animal undergoes a dramatic transformation from a juvenile or larval stage to a adult stage, often involving significant changes in form and structure. This process is commonly seen in insects, amphibians, and some other animals.
How to Manage Opening & Closing Controls in Odoo 17 POS
How to Manage Opening & Closing Controls in Odoo 17 POSCeline George In Odoo 17 Point of Sale, the opening and closing controls are key for cash management. At the start of a shift, cashiers log in and enter the starting cash amount, marking the beginning of financial tracking. Throughout the shift, every transaction is recorded, creating an audit trail.
LDMMIA Reiki Master Spring 2025 Mini Updates
LDMMIA Reiki Master Spring 2025 Mini UpdatesLDM Mia eStudios As of Mid to April Ending, I am building a new Reiki-Yoga Series. No worries, they are free workshops. So far, I have 3 presentations so its a gradual process. If interested visit: https://www.slideshare.net/YogaPrincess
https://ldmchapels.weebly.com
Blessings and Happy Spring. We are hitting Mid Season.
To study the nervous system of insect.pptx
To study the nervous system of insect.pptxArshad Shaikh The *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responThe *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responses*: Insects can exhibit complex behaviors, such as mating, foraging, and social interactions.
Characteristics
1. *Decentralized*: Insect nervous systems have some autonomy in different body parts.
2. *Specialized*: Different parts of the nervous system are specialized for specific functions.
3. *Efficient*: Insect nervous systems are highly efficient, allowing for rapid processing and response to stimuli.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive in diverse environments.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive
Niamh Lucey, Mary Dunne. Health Sciences Libraries Group (LAI). Lighting the ...
Niamh Lucey, Mary Dunne. Health Sciences Libraries Group (LAI). Lighting the ...Library Association of Ireland
The ever evoilving world of science /7th class science curiosity /samyans aca...
The ever evoilving world of science /7th class science curiosity /samyans aca...Sandeep Swamy The Ever-Evolving World of
Science
Welcome to Grade 7 Science4not just a textbook with facts, but an invitation to
question, experiment, and explore the beautiful world we live in. From tiny cells
inside a leaf to the movement of celestial bodies, from household materials to
underground water flows, this journey will challenge your thinking and expand
your knowledge.
Notice something special about this book? The page numbers follow the playful
flight of a butterfly and a soaring paper plane! Just as these objects take flight,
learning soars when curiosity leads the way. Simple observations, like paper
planes, have inspired scientific explorations throughout history.
Phoenix – A Collaborative Renewal of Children’s and Young People’s Services C...
Phoenix – A Collaborative Renewal of Children’s and Young People’s Services C...Library Association of Ireland
YSPH VMOC Special Report - Measles Outbreak Southwest US 5-3-2025.pptx
YSPH VMOC Special Report - Measles Outbreak Southwest US 5-3-2025.pptxYale School of Public Health - The Virtual Medical Operations Center (VMOC)
Biophysics Chapter 3 Methods of Studying Macromolecules.pdf
Biophysics Chapter 3 Methods of Studying Macromolecules.pdfPKLI-Institute of Nursing and Allied Health Sciences Lahore , Pakistan.
Niamh Lucey, Mary Dunne. Health Sciences Libraries Group (LAI). Lighting the ...
Niamh Lucey, Mary Dunne. Health Sciences Libraries Group (LAI). Lighting the ...Library Association of Ireland
data structure, stack, stack data structure
- 1. Stack Presentation on Stack By Patta Jagadeeswara Rao, Software Engineer, Patta Jagadeeswara Rao, MCA.
- 2. Introduction to Stack A Stack is a Linear Data Structure. The Data Items in the stack are inserted and deleted from one end. That is called Top of the stack. Stack follows LIFO (Last In First Out) Mechanism. Stacks are mostly used in system software. Like compilers and Operating Systems, etc.. Insert values into stack is called push operation. Reading Values from stack is called pop operation. Patta Jagadeeswara Rao, MCA.
- 3. Introduction to Stack (Cont..) The Stack starts with position of 0(zero) . The Maximum Position of Stack is n-1. When The position of Stack is zero. Then, the stack is underflow. When The position of Stack is grater than n-1. Then, the stack is called overflow. Once an item is popped from stack, it is no longer available. Patta Jagadeeswara Rao, MCA.
- 4. Stack Operations There are Two operations in stack. Those are push and pop. The push operation is used to insert the values into stack. The pop operation is used to Retrieve the values from the stack. The best example for stack is the bunch of plates in the kitchen. Patta Jagadeeswara Rao, MCA.
- 5. Example for stack # include <stdio.h> # include <conio.h> char jaggu[100]; int top = 0; void push(void); void pop(void); void main() { Patta Jagadeeswara Rao, MCA.
- 6. Example for stack(cont..) Int ch = 0; while(1) { printf(“1. Add new item”); printf(“2. Delete item”); printf(“3. Quit”); printf(“Enter Your Choice :”); scanf(“%d”, &ch); Patta Jagadeeswara Rao, MCA.
- 7. Example for Stack(cont..) switch(ch) { case 1: push(); break; case 2: pop(); break; case 3: return; }}} Patta Jagadeeswara Rao, MCA.
- 8. Example for Stack(cont..) Void push(void) { if(top >=100) { printf(“stack if full”); return; } else Patta Jagadeeswara Rao, MCA.
- 9. Example for stack(cont..) { printf(“ The item is : %ch”, gets(jaggu[top])); if(!jaggu[top]) { top ++; } } Patta Jagadeeswara Rao, MCA.
- 10. Example for stack(cont..) Void pop(void) { top - - ; if(top < 0) { printf(“stack is empty”); return; } printf(“The item is :%ch”, jaggu[top]);} Patta Jagadeeswara Rao, MCA.
- 11. Thank You Patta Jagadeeswara Rao, MCA.