The document discusses stacks and their implementation using templates in C++. It defines a stack as a first-in last-out (LIFO) data structure where elements are added and removed from the top. It specifies stack operations like push, pop, isEmpty etc. and provides implementations of a stack class using templates and dynamic memory allocation. It also discusses an example of evaluating postfix expressions using a stack.
The document discusses stacks and their implementation using templates in C++. It defines a stack as a first-in last-out (LIFO) data structure where elements are added and removed from the top. It specifies stack operations like push, pop, isEmpty etc. and provides their implementation using templates, allowing stacks of different data types. It also discusses using stacks to evaluate postfix expressions and provides a function to replace all occurrences of an item in a stack with another item.
The document discusses stacks and their implementation using templates in C++. It defines a stack as a first-in last-out (LIFO) data structure where elements are added and removed from the top. It specifies stack operations like push, pop, isEmpty etc. and provides their implementation using templates, allowing stacks of different data types. It also discusses using stacks to evaluate postfix expressions and provides a function to replace all occurrences of an item in a stack.
This document provides an overview of stacks and queues as data structures. It discusses stacks and their LIFO (last-in, first-out) nature, as well as queues and their FIFO (first-in, first-out) nature. It covers the basic operations of each like push, pop, peek for stacks and enqueue, dequeue for queues. It provides examples of how to implement stacks and queues in code as well as examples of their uses.
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.
This document discusses data structures and algorithms lab 3. It covers template functions, template classes, stacks, and applications of stacks. Specifically, it describes using stacks to implement converting numbers between bases and checking if a string is a palindrome. The objectives are to practice template functions, learn about stacks as an abstract data type and their basic operations, and implement additional stack methods and an application using a stack with two stacks.
The document discusses stacks and their implementation in Java using BlueJ. It explains what BlueJ is and how stacks can be implemented using static or dynamic data structures. It then provides code for a Stack class that implements a stack using an array to store objects. Methods like push(), pop(), isEmpty() etc are included. It also provides code for a StackTester class to demonstrate how the Stack class can be used by adding and removing integers. Exercises are included to modify StackTester to use strings instead of integers and to use a stack to check bracket balancing in code.
This document describes a Java program to implement a stack data structure using both an array and linked list. It defines a Stack interface and ArrayStack and LinkedListStack classes that implement the stack. The ArrayStack uses an array to store elements while LinkedListStack uses linked list nodes. Methods like push(), pop(), top(), and topAndPop() are implemented to add/remove elements from the stack. Exception handling is included for empty stack cases. Sample code tests inserting characters and numbers into both stack implementations.
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.
The document discusses stacks and queues implemented using dynamically linked lists. It defines stacks and queues as abstract data types (ADTs) and describes their common operations like push, pop, enqueue, dequeue. It then presents an implementation of stacks and queues using dynamically allocated nodes and pointers. Key aspects covered include allocating new nodes during push/enqueue using new, deleting nodes during pop/dequeue using delete, and needing destructors to delete all nodes when the data structure is destroyed.
The document discusses the stack data structure, including its definition as a LIFO structure where elements are inserted and removed from one end called the top. Basic stack operations like push, pop, peek, and size are described. Implementations of stacks using lists and linked lists are covered, including code examples. Advantages of stacks like efficient memory usage and fast access are outlined, along with disadvantages like limited capacity and no random access. Applications of stacks in areas like compiler design, web browsers, and operating systems are also mentioned.
This document discusses linear data structures like stacks and queues. It defines them as ordered data collections where items are added and removed from specific ends. Stacks follow LIFO while queues follow FIFO. The key operations for stacks are push and pop, while queues use enqueue and dequeue. Python implementations are shown using lists. Functions are created to add, remove, and display items for both stacks and queues.
This document discusses extending JavaScript by creating type-safe collections like stacks and queues. It provides a plan and implementation for creating a Stack class with methods like push(), pop(), getValue() and setValue(). The same approach is then used to create a Queue class, with the only difference being the exit() method removes items from the front rather than back of the internal array. The document ends by demonstrating how to test the classes.
The document discusses templates in C++ and various data structures like stacks, queues, and mazes. It provides template definitions for a stack, queue, and selection sort algorithm. It also covers inheritance between abstract data types like using a stack as a subclass of a bag. Finally, it presents a maze as an example problem that could utilize a queue to solve by breadth-first search.
The document discusses stacks and queues as fundamental data structures. It covers stack and queue operations like push, pop, enqueue, and dequeue. It presents implementations of stacks and queues using both arrays and linked lists. It discusses dynamic resizing of arrays to allow for efficient pushing and popping. The document also covers using generics to create parameterized data structures like Stack<Item> that avoid casting. Several applications of stacks are described, including evaluating arithmetic expressions using a two-stack algorithm and modeling function calls in a compiler using a run-time stack.
This presentation summarizes stacks as a data structure. It defines stacks as linear data structures that follow a last-in, first-out principle where only the top element can be accessed. Common stack operations like push, pop, peek are described. Examples of stack implementation using arrays and linked lists are provided. Key applications of stacks like function calls, expression evaluation, and memory management are highlighted. Advantages like efficiency and disadvantages like limited access are discussed.
A stack is an abstract data type that follows LIFO (last in, first out) principle. Elements can only be inserted or removed from one end, called the top. Common operations on a stack include push to add an element and pop to remove the top element. Stacks have many applications like reversing a word or parsing expressions. They can be implemented using arrays or linked lists. The time complexity of push, pop, and top operations is O(1) while search is O(n).
A stack is a last-in, first-out data structure where elements can only be added (pushed) or removed (popped) from one end, called the top. Common applications include reversing words, implementing undo functions, backtracking in algorithms, and managing function calls and memory allocation using a call stack. Stacks are often implemented using arrays, where an index tracks the top element and elements are added or removed by changing the top index and relevant array values.
A stack is a basic data structure that can be logically thought as linear structure represented by a real physical stack or pile, a structure where insertion and deletion of items take place at one end called the top of the stack.
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
A queue is a 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. Operations on a queue include making it empty, checking if it is empty or full, adding elements with enqueue, and removing elements with dequeue. Queues can be implemented using a circular array structure, with front and rear pointers to track the first and last elements. Functions are defined to initialize the queue, add and remove elements while checking for overflow or underflow conditions.
The document discusses queues and their implementation. It defines queues as FIFO data structures with two ends - one for adding elements and one for removing them. It describes queue operations like enqueue and dequeue. It then provides implementation details for a queue using a circular array, including how to handle overflow and underflow conditions. Examples are given for recognizing palindromes using both a stack and queue. Finally, a case study on simulation using queues is outlined.
The document discusses queues and their implementation. It defines queues as FIFO data structures with two ends - one for adding elements and one for removing them. It describes queue operations like enqueue and dequeue and issues with implementation like queue overflow and underflow. It provides an example of using queues and stacks to check for palindromes. It also discusses using queues in a simulation of a queuing system to determine average wait times.
This document discusses data structures and algorithms lab 3. It covers template functions, template classes, stacks, and applications of stacks. Specifically, it describes using stacks to implement converting numbers between bases and checking if a string is a palindrome. The objectives are to practice template functions, learn about stacks as an abstract data type and their basic operations, and implement additional stack methods and an application using a stack with two stacks.
The document discusses stacks and their implementation in Java using BlueJ. It explains what BlueJ is and how stacks can be implemented using static or dynamic data structures. It then provides code for a Stack class that implements a stack using an array to store objects. Methods like push(), pop(), isEmpty() etc are included. It also provides code for a StackTester class to demonstrate how the Stack class can be used by adding and removing integers. Exercises are included to modify StackTester to use strings instead of integers and to use a stack to check bracket balancing in code.
This document describes a Java program to implement a stack data structure using both an array and linked list. It defines a Stack interface and ArrayStack and LinkedListStack classes that implement the stack. The ArrayStack uses an array to store elements while LinkedListStack uses linked list nodes. Methods like push(), pop(), top(), and topAndPop() are implemented to add/remove elements from the stack. Exception handling is included for empty stack cases. Sample code tests inserting characters and numbers into both stack implementations.
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.
The document discusses stacks and queues implemented using dynamically linked lists. It defines stacks and queues as abstract data types (ADTs) and describes their common operations like push, pop, enqueue, dequeue. It then presents an implementation of stacks and queues using dynamically allocated nodes and pointers. Key aspects covered include allocating new nodes during push/enqueue using new, deleting nodes during pop/dequeue using delete, and needing destructors to delete all nodes when the data structure is destroyed.
The document discusses the stack data structure, including its definition as a LIFO structure where elements are inserted and removed from one end called the top. Basic stack operations like push, pop, peek, and size are described. Implementations of stacks using lists and linked lists are covered, including code examples. Advantages of stacks like efficient memory usage and fast access are outlined, along with disadvantages like limited capacity and no random access. Applications of stacks in areas like compiler design, web browsers, and operating systems are also mentioned.
This document discusses linear data structures like stacks and queues. It defines them as ordered data collections where items are added and removed from specific ends. Stacks follow LIFO while queues follow FIFO. The key operations for stacks are push and pop, while queues use enqueue and dequeue. Python implementations are shown using lists. Functions are created to add, remove, and display items for both stacks and queues.
This document discusses extending JavaScript by creating type-safe collections like stacks and queues. It provides a plan and implementation for creating a Stack class with methods like push(), pop(), getValue() and setValue(). The same approach is then used to create a Queue class, with the only difference being the exit() method removes items from the front rather than back of the internal array. The document ends by demonstrating how to test the classes.
The document discusses templates in C++ and various data structures like stacks, queues, and mazes. It provides template definitions for a stack, queue, and selection sort algorithm. It also covers inheritance between abstract data types like using a stack as a subclass of a bag. Finally, it presents a maze as an example problem that could utilize a queue to solve by breadth-first search.
The document discusses stacks and queues as fundamental data structures. It covers stack and queue operations like push, pop, enqueue, and dequeue. It presents implementations of stacks and queues using both arrays and linked lists. It discusses dynamic resizing of arrays to allow for efficient pushing and popping. The document also covers using generics to create parameterized data structures like Stack<Item> that avoid casting. Several applications of stacks are described, including evaluating arithmetic expressions using a two-stack algorithm and modeling function calls in a compiler using a run-time stack.
This presentation summarizes stacks as a data structure. It defines stacks as linear data structures that follow a last-in, first-out principle where only the top element can be accessed. Common stack operations like push, pop, peek are described. Examples of stack implementation using arrays and linked lists are provided. Key applications of stacks like function calls, expression evaluation, and memory management are highlighted. Advantages like efficiency and disadvantages like limited access are discussed.
A stack is an abstract data type that follows LIFO (last in, first out) principle. Elements can only be inserted or removed from one end, called the top. Common operations on a stack include push to add an element and pop to remove the top element. Stacks have many applications like reversing a word or parsing expressions. They can be implemented using arrays or linked lists. The time complexity of push, pop, and top operations is O(1) while search is O(n).
A stack is a last-in, first-out data structure where elements can only be added (pushed) or removed (popped) from one end, called the top. Common applications include reversing words, implementing undo functions, backtracking in algorithms, and managing function calls and memory allocation using a call stack. Stacks are often implemented using arrays, where an index tracks the top element and elements are added or removed by changing the top index and relevant array values.
A stack is a basic data structure that can be logically thought as linear structure represented by a real physical stack or pile, a structure where insertion and deletion of items take place at one end called the top of the stack.
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
A queue is a 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. Operations on a queue include making it empty, checking if it is empty or full, adding elements with enqueue, and removing elements with dequeue. Queues can be implemented using a circular array structure, with front and rear pointers to track the first and last elements. Functions are defined to initialize the queue, add and remove elements while checking for overflow or underflow conditions.
The document discusses queues and their implementation. It defines queues as FIFO data structures with two ends - one for adding elements and one for removing them. It describes queue operations like enqueue and dequeue. It then provides implementation details for a queue using a circular array, including how to handle overflow and underflow conditions. Examples are given for recognizing palindromes using both a stack and queue. Finally, a case study on simulation using queues is outlined.
The document discusses queues and their implementation. It defines queues as FIFO data structures with two ends - one for adding elements and one for removing them. It describes queue operations like enqueue and dequeue and issues with implementation like queue overflow and underflow. It provides an example of using queues and stacks to check for palindromes. It also discusses using queues in a simulation of a queuing system to determine average wait times.
This document discusses methods in Java. It defines methods as collections of statements grouped together to perform an operation. It covers defining methods, invoking methods, passing parameters, return values, scope of variables, overloading methods, and abstracting method implementation through black box abstraction. Examples are provided to demonstrate key concepts like defining methods with different parameter types, passing arguments by value, and generating random characters through a method. The document is from a chapter in an introductory Java programming textbook.
The document discusses methods in Java programming. It defines what a method is, including method signature, formal and actual parameters, return type, and calling methods. It provides examples of defining, invoking, and overloading methods. It also covers topics like pass by value, scope of local variables, and modularizing code with methods. The document is from a chapter about methods in an introduction to Java programming and data structures textbook.
Chapter 4 Mathematical Functions, Characters, and Strings.pptxssusere3b1a2
This document provides an overview of mathematical functions, characters, and strings in Java. It describes the Math class and its common mathematical methods for trigonometric, exponent, rounding, and other functions. It also covers the char data type, escape sequences, Unicode encoding, and methods for comparing and testing characters. Finally, it discusses the String class and methods for string length, concatenation, comparison, substring extraction, and searching.
This document proposes a model to automatically rank CVs based on a job description by analyzing text and finding similarities between the description and CVs. It involves preprocessing texts by summarization, tokenization, normalization, spelling correction, and semantic analysis using dynamic programming. Machine learning classifiers like nearest neighbor with cosine similarity and one-class SVM are then used to retrieve the most relevant CVs, which are ranked and displayed. The model was tested on sample data and nearest neighbor with cosine similarity performed best.
information retrieval --> dictionary.pptssusere3b1a2
This document provides an introduction to information retrieval concepts including document ingestion, tokenization, terms, normalization, stemming, and lemmatization. It discusses how documents are parsed and tokenized, dealing with complications from different languages and formats. Terms are the normalized words that are indexed, and the document examines issues with stop words, numbers, case folding, and dealing with other languages. Stemming and lemmatization are introduced as ways to reduce inflectional variants of words.
Information retrieval is the process of finding documents that satisfy an information need from within large collections. The inverted index is the key data structure underlying modern IR systems, where each term is associated with a list of documents containing that term. Boolean queries can be processed efficiently using the inverted index by merging the postings lists of query terms. Phrase queries require positional indexes, where each term's postings list also includes term positions within documents.
Happy May and Happy Weekend, My Guest Students.
Weekends seem more popular for Workshop Class Days lol.
These Presentations are timeless. Tune in anytime, any weekend.
<<I am Adult EDU Vocational, Ordained, Certified and Experienced. Course genres are personal development for holistic health, healing, and self care. I am also skilled in Health Sciences. However; I am not coaching at this time.>>
A 5th FREE WORKSHOP/ Daily Living.
Our Sponsor / Learning On Alison:
Sponsor: Learning On Alison:
— We believe that empowering yourself shouldn’t just be rewarding, but also really simple (and free). That’s why your journey from clicking on a course you want to take to completing it and getting a certificate takes only 6 steps.
Hopefully Before Summer, We can add our courses to the teacher/creator section. It's all within project management and preps right now. So wish us luck.
Check our Website for more info: https://ldmchapels.weebly.com
Get started for Free.
Currency is Euro. Courses can be free unlimited. Only pay for your diploma. See Website for xtra assistance.
Make sure to convert your cash. Online Wallets do vary. I keep my transactions safe as possible. I do prefer PayPal Biz. (See Site for more info.)
Understanding Vibrations
If not experienced, it may seem weird understanding vibes? We start small and by accident. Usually, we learn about vibrations within social. Examples are: That bad vibe you felt. Also, that good feeling you had. These are common situations we often have naturally. We chit chat about it then let it go. However; those are called vibes using your instincts. Then, your senses are called your intuition. We all can develop the gift of intuition and using energy awareness.
Energy Healing
First, Energy healing is universal. This is also true for Reiki as an art and rehab resource. Within the Health Sciences, Rehab has changed dramatically. The term is now very flexible.
Reiki alone, expanded tremendously during the past 3 years. Distant healing is almost more popular than one-on-one sessions? It’s not a replacement by all means. However, its now easier access online vs local sessions. This does break limit barriers providing instant comfort.
Practice Poses
You can stand within mountain pose Tadasana to get started.
Also, you can start within a lotus Sitting Position to begin a session.
There’s no wrong or right way. Maybe if you are rushing, that’s incorrect lol. The key is being comfortable, calm, at peace. This begins any session.
Also using props like candles, incenses, even going outdoors for fresh air.
(See Presentation for all sections, THX)
Clearing Karma, Letting go.
Now, that you understand more about energies, vibrations, the practice fusions, let’s go deeper. I wanted to make sure you all were comfortable. These sessions are for all levels from beginner to review.
Again See the presentation slides, Thx.
How to Configure Scheduled Actions in odoo 18Celine George
Scheduled actions in Odoo 18 automate tasks by running specific operations at set intervals. These background processes help streamline workflows, such as updating data, sending reminders, or performing routine tasks, ensuring smooth and efficient system operations.
Computer crime and Legal issues Computer crime and Legal issuesAbhijit Bodhe
• Computer crime and Legal issues: Intellectual property.
• privacy issues.
• Criminal Justice system for forensic.
• audit/investigative.
• situations and digital crime procedure/standards for extraction,
preservation, and deposition of legal evidence in a court of law.
Rock Art As a Source of Ancient Indian HistoryVirag Sontakke
This Presentation is prepared for Graduate Students. A presentation that provides basic information about the topic. Students should seek further information from the recommended books and articles. This presentation is only for students and purely for academic purposes. I took/copied the pictures/maps included in the presentation are from the internet. The presenter is thankful to them and herewith courtesy is given to all. This presentation is only for academic purposes.
Link your Lead Opportunities into Spreadsheet using odoo CRMCeline George
In Odoo 17 CRM, linking leads and opportunities to a spreadsheet can be done by exporting data or using Odoo’s built-in spreadsheet integration. To export, navigate to the CRM app, filter and select the relevant records, and then export the data in formats like CSV or XLSX, which can be opened in external spreadsheet tools such as Excel or Google Sheets.
Form View Attributes in Odoo 18 - Odoo SlidesCeline George
Odoo is a versatile and powerful open-source business management software, allows users to customize their interfaces for an enhanced user experience. A key element of this customization is the utilization of Form View attributes.
How to Configure Public Holidays & Mandatory Days in Odoo 18Celine George
In this slide, we’ll explore the steps to set up and manage Public Holidays and Mandatory Days in Odoo 18 effectively. Managing Public Holidays and Mandatory Days is essential for maintaining an organized and compliant work schedule in any organization.
The insect cuticle is a tough, external exoskeleton composed of chitin and proteins, providing protection and support. However, as insects grow, they need to shed this cuticle periodically through a process called moulting. During moulting, a new cuticle is prepared underneath, and the old one is shed, allowing the insect to grow, repair damaged cuticle, and change form. This process is crucial for insect development and growth, enabling them to transition from one stage to another, such as from larva to pupa or adult.
Ajanta Paintings: Study as a Source of HistoryVirag Sontakke
This Presentation is prepared for Graduate Students. A presentation that provides basic information about the topic. Students should seek further information from the recommended books and articles. This presentation is only for students and purely for academic purposes. I took/copied the pictures/maps included in the presentation are from the internet. The presenter is thankful to them and herewith courtesy is given to all. This presentation is only for academic purposes.
How to Add Customer Note in Odoo 18 POS - Odoo SlidesCeline George
In this slide, we’ll discuss on how to add customer note in Odoo 18 POS module. Customer Notes in Odoo 18 POS allow you to add specific instructions or information related to individual order lines or the entire order.
What makes space feel generous, and how architecture address this generosity in terms of atmosphere, metrics, and the implications of its scale? This edition of #Untagged explores these and other questions in its presentation of the 2024 edition of the Master in Collective Housing. The Master of Architecture in Collective Housing, MCH, is a postgraduate full-time international professional program of advanced architecture design in collective housing presented by Universidad Politécnica of Madrid (UPM) and Swiss Federal Institute of Technology (ETH).
Yearbook MCH 2024. Master in Advanced Studies in Collective Housing UPM - ETH
2. WHAT IS A STACK IN JAVAIN
JAVA?
• It is an ordered group of homogeneous items of
elements.
• Elements are added to and removed from the top
of the Stack in java(the most recently added
items are at the top of the stack).
• The last element to be added is the first to be
removed (LIFO: Last In, First Out).
3. STACK IN JAVASPECIFICATION
• Definitions: (provided by the user)
• MAX_ITEMS: Max number of items that might be
on the stack
• ItemType: Data type of the items on the stack
• Operations
• MakeEmpty
• Boolean IsEmpty
• Boolean IsFull
• Push (ItemType newItem)
• Pop (ItemType& item)
4. PUSH (ITEMTYPE NEWITEM)
•Function: Adds newItem to the
top of the stack.
•Preconditions: Stack in javahas
been initialized and is not full.
•Postconditions: newItem is at the
top of the stack.
5. POP (ITEMTYPE& ITEM)
• Function: Removes topItem from Stack in
javaand returns it in item.
• Preconditions: Stack in javahas been initialized
and is not empty.
• Postconditions: Top element has been
removed from Stack in javaand item is a copy
of the removed element.
7. STACK IN JAVAIMPLEMENTATION
#include "ItemType.h"
// Must be provided by the user of the class
// Contains definitions for MAX_ITEMS and ItemType
class StackType {
public:
StackType();
void MakeEmpty();
bool IsEmpty() const;
bool IsFull() const;
void Push(ItemType);
void Pop(ItemType&);
private:
int top;
ItemType items[MAX_ITEMS];
};
10. Stack in javaoverflow
• The condition resulting from trying to push an
element onto a full stack.
if(!stack.IsFull())
stack.Push(item);
Stack in javaunderflow
• The condition resulting from trying to pop an
empty stack.
if(!stack.IsEmpty())
stack.Pop(item);
11. IMPLEMENTING STACKS USING
TEMPLATES
• Templates allow the compiler to generate
multiple versions of a class type or a function by
allowing parameterized types.
• It is similar to passing a parameter to a function
(we pass a data type to a class !!)
13. EXAMPLE USING TEMPLATES
// Client code
StackType<int> myStack;
StackType<float> yourStack;
StackType<StrType> anotherStack;
myStack.Push(35);
yourStack.Push(584.39);
The compiler generates distinct class types and
gives its own internal name to each of the types.
14. FUNCTION TEMPLATES
• The definitions of the member functions
must be rewritten as function templates.
template<class ItemType>
StackType<ItemType>::StackType()
{
top = -1;
}
template<class ItemType>
void StackType<ItemType>::MakeEmpty()
{
top = -1;
}
17. COMMENTS USING TEMPLATES
• The template<class T> designation must
precede the class method name in the source
code for each template class method.
• The word class is required by the syntax of the
language and does not mean that the actual
parameter must be the name of a class.
• Passing a parameter to a template has an effect
at compile time.
18. IMPLEMENTING STACKS USING
DYNAMIC ARRAY ALLOCATION
template<class ItemType>
class StackType {
public:
StackType(int);
~StackType();
void MakeEmpty();
bool IsEmpty() const;
bool IsFull() const;
void Push(ItemType);
void Pop(ItemType&);
private:
int top;
int maxStack;
ItemType *items;
};
19. IMPLEMENTING STACKS USING
DYNAMIC ARRAY ALLOCATION
(CONT.)
template<class ItemType>
StackType<ItemType>::StackType(int max)
{
maxStack in java= max;
top = -1;
items = new ItemType[max];
}
template<class ItemType>
StackType<ItemType>::~StackType()
{
delete [ ] items;
}
20. EXAMPLE: POSTFIX EXPRESSIONS
• Postfix notation is another way of writing
arithmetic expressions.
• In postfix notation, the operator is written after the
two operands.
infix: 2+5 postfix: 2 5 +
• Expressions are evaluated from left to right.
• Precedence rules and parentheses are never
needed!!
23. POSTFIX EXPRESSIONS:
ALGORITHM USING STACKS
WHILE more input items exist
Get an item
IF item is an operand
stack.Push(item)
ELSE
stack.Pop(operand2)
stack.Pop(operand1)
Compute result
stack.Push(result)
stack.Pop(result)
24. Write the body for a function that replaces each
copy of an item in a Stack in javawith another
item. Use the following specification. (this
function is a client program).
ReplaceItem(StackType& stack, ItemType oldItem,
ItemType newItem)
Function: Replaces all occurrences of oldItem
with newItem.
Precondition: Stack in javahas been initialized.
Postconditions: Each occurrence of oldItem in
Stack in javahas been replaced by newItem.
(You may use any of the member functions of the
StackType, but you may not assume any
knowledge of how the Stack in javais
implemented).