This document provides an overview of arrays and strings in C programming. It discusses single and multidimensional arrays, including array declaration and initialization. It also covers string handling functions. Additionally, the document defines structures and unions, and discusses nested structures and arrays of structures. The majority of the document focuses on concepts related to single dimensional arrays, including array representation, accessing array elements, and common array operations like insertion, deletion, searching, and sorting. Example C programs are provided to demonstrate various array concepts.
The document compares linear and non-linear data structures. Linear data structures have elements arranged sequentially that can each be accessed through a single traversal, while non-linear structures have hierarchical elements at multiple levels that require multiple traversals. Linear structures are easier to implement and traverse but use memory less efficiently, while non-linear structures use memory more efficiently but are more complex. Common examples of linear and non-linear structures provided are arrays/lists and graphs/trees respectively.
Arrays allow storing and accessing a collection of related data elements. An array contains elements of the same data type and stores them in consecutive memory locations. Arrays have properties like fixed size, contiguous memory allocation, and random element access via indexes. Arrays are useful for code optimization and ease of traversal but have a fixed size limitation. Common array types include single-dimensional, two-dimensional, and multi-dimensional arrays. Elements can be accessed and traversed using indexes in for loops.
The document discusses arrays in C programming language. It defines an array as a collection of items stored at contiguous memory locations that can be accessed randomly using indices. Arrays allow storing homogeneous data in an organized linear structure. The key points covered include: declaration and initialization of arrays; accessing array elements; advantages like easy traversal and sorting; disadvantages like fixed size; and examples of one-dimensional and two-dimensional arrays. Common array operations like searching, sorting and traversal algorithms are also explained.
This document discusses arrays in C programming. It defines an array as a collection of similar data items stored in contiguous memory locations. Arrays allow storing primitive data types like int, char, etc. as well as derived types like pointers and structures. Each element has an index and can be randomly accessed. The document discusses properties, advantages, and disadvantages of arrays. It also covers different types of arrays like one-dimensional, two-dimensional, and multi-dimensional arrays. Various operations on arrays like traversing, inserting, deleting, searching, and sorting elements are described along with code examples.
This document provides an introduction and overview of arrays in C++. It defines what an array is, how to declare and initialize arrays, and how to access, insert, search, sort, and merge array elements. Key points covered include:
- An array is a sequenced collection of elements of the same data type. Elements are referenced using a subscript index.
- Arrays can be declared with a fixed or variable length. Elements are initialized sequentially in memory.
- Common array operations like accessing, inserting, searching, sorting and merging are demonstrated using for loops and examples. Searching techniques include sequential and binary search. Sorting techniques include selection, bubble and insertion sort.
- Arrays are passed
Arrays are a commonly used data structure that store multiple elements of the same type. Elements in an array are accessed using subscripts or indexes, with the first element having an index of 0. Multidimensional arrays can store elements in rows and columns, accessed using two indexes. Arrays are stored linearly in memory in either row-major or column-major order, which affects how elements are accessed.
Packages and Java Library: Introduction, Defining Package, Importing Packages and
Classes into Programs, Path and Class Path, Access Control, Packages in Java SE, Java.lang
Package and its Classes, Class Object, Enumeration, class Math, Wrapper Classes, Autoboxing and Auto-unboxing, Java util Classes and Interfaces, Formatter Class, Random Class,
Time Package, Class Instant (java. time. Instant), Formatting for Date/Time in Java, Temporal
Adjusters Class, Temporal Adjusters Class.
Java. lang Package and its Classes:
The most important classes are of lang are
• Object, which is the root of the class hierarchy, and Class, instances of which
represent classes at runtime.
o protected Object clone()
o boolean equals(Object obj)
o protected void finalize()
o Class getClass()
o int hashCode()
o void notify()
o void notifyAll()
o void wait()
o String toString()
• The wrapper classes
o Boolean
o Character
o Integer
o Short
o Byte
o Long
o Float
o Double
• The classes String, StringBuffer, and StringBuilder similarly provide commonly used
operations on character strings.
• Class Throwable encompasses objects that may be thrown by the throw statement.
Subclasses of Throwable represent errors and exceptions.
Enumeration in java:
class EnumExample
{
//defining enum within class
public enum Season { WINTER, SPRING, SUMMER, FALL }
public static void main(String[] args)
{
//printing all enum
for (Season s : Season.values())
{
System.out.println(s);
}
System.out.println("Value of WINTER is: "+Season.valueOf("WINTER"));
System.out.println("Index of WINTER is: "+Season.valueOf("WINTER").ordinal());
System.out.println("Index of SUMMER is: "+Season.valueOf("SUMMER").ordinal()); Java. lang Package and its Classes:
The most important classes are of lang are
• Object, which is the root of the class hierarchy, and Class, instances of which
represent classes at runtime.
o protected Object clone()
o boolean equals(Object obj)
o protected void finalize()
o Class getClass()
o int hashCode()
o void notify()
o void notifyAll()
o void wait()
o String toString()
• The wrapper classes
o Boolean
o Character
o Integer
o Short
o Byte
o Long
o Float
o Double
• The classes String, StringBuffer, and StringBuilder similarly provide commonly used
operations on character strings.
• Class Throwable encompasses objects that may be thrown by the throw statement.
Subclasses of Throwable represent errors and exceptions.
Enumeration in java:
class EnumExample
{
//defining enum within class
public enum Season { WINTER, SPRING, SUMMER, FALL } Packages in Java SE:
Java Standard Edition provides 14 packages namely –
• applet − This package provides classes and methods to create and communicate with
the applets.
• awt− This package provides classes and methods to create user interfaces.
• io− This package contains classes and methods to read and write data standard input
and output devices, spublic Addition(double a,double b)
{
this.a=a;
this.b=b;
}
public void suImpor
NumPy is a Python package that is used for scientific computing and working with multidimensional arrays. It allows fast operations on arrays through the use of n-dimensional arrays and has functions for creating, manipulating, and transforming NumPy arrays. NumPy arrays can be indexed, sliced, and various arithmetic operations can be performed on them element-wise for fast processing of large datasets.
This document discusses arrays in three sentences or less:
Arrays allow storing and accessing multiple values under a single name, with each value stored in consecutive memory locations. Arrays have advantages like efficiently storing and processing large datasets and easily applying operations like sorting and searching. The document covers one-dimensional and two-dimensional arrays, explaining how to declare, initialize, access elements, and perform common operations like searching and sorting on arrays.
This document discusses arrays in three sentences or less:
Arrays allow storing and accessing multiple values under a single name, with each value stored in consecutive memory locations. Arrays come in one-dimensional, two-dimensional, and multi-dimensional forms and can be accessed using indexes. Common array operations include initialization, accessing elements, searching, sorting, and performing operations on all elements using loops.
The document discusses various data structures used in programming, including arrays, lists, linked lists, stacks, queues, and dictionaries. It provides definitions and summaries of each data structure, including their common operations and time complexities. For example, it notes that arrays provide O(1) direct access by index but fixed size, while lists are dynamically sized but insertion/deletion at non-end positions is O(n).
An array is a collection of consecutive memory locations that share a common name and type. It allows storing multiple values of the same type together. Arrays have several advantages like storing large numbers of values with a single name and processing values easily. There are different types of arrays including one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, while two-dimensional arrays can be thought of as tables with rows and columns. Elements within arrays can be accessed using their index or position. Common array operations include initialization, accessing elements, searching, and sorting elements.
An array is a group of consecutive memory locations that share the same name and data type. It allows storing multiple values of the same type together. Arrays can store large numbers of values with a single name and process many values easily and quickly. There are one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, two-dimensional arrays arrange elements in a table with rows and columns, and multi-dimensional arrays extend this concept to three or more dimensions.
Arrays allow storing multiple values in a single variable. An array is a collection of consecutive memory locations with the same name and type. Elements in an array are accessed using an index. There are different types of arrays including one-dimensional, two-dimensional, and multi-dimensional arrays. Common operations on arrays include accessing elements, searching, and sorting. Sorting techniques for arrays include selection sort and bubble sort. Two-dimensional arrays can represent data in a table with rows and columns.
Arrays allow storing multiple values of the same data type together in computer memory. One-dimensional arrays use a single subscript to access each element, while two-dimensional arrays use two subscripts to represent the row and column of each element. Elements in arrays are stored contiguously in memory. Common operations on arrays include initialization, accessing elements, and sorting or searching elements.
An array is a collection of similar data elements that are stored in consecutive memory locations and referenced using an index. Arrays allow storing multiple values of the same data type. Elements are accessed using the index/subscript. Two-dimensional arrays store elements in a tabular form using two indices for row and column. Sparse matrices store only non-zero elements to save memory by representing the matrix as an array or linked list of triples with the row, column, and value of each non-zero element. Common array operations include traversing, inserting, deleting, searching, and sorting elements.
This document provides an introduction to data structures and algorithms. It defines data structures as a way of organizing data that considers both the items stored and their relationship. Common data structures include stacks, queues, lists, trees, graphs, and tables. Data structures are classified as primitive or non-primitive based on how close the data items are to machine-level instructions. Linear data structures like arrays and linked lists store data in a sequence, while non-linear structures like trees and graphs do not rely on sequence. The document outlines several common data structures and their characteristics, as well as abstract data types, algorithms, and linear data structures like arrays. It provides examples of one-dimensional and two-dimensional arrays and how they are represented in
This document provides an overview of arrays in Java, including:
1. Arrays allow storing multiple values of the same type and can be one-dimensional or multi-dimensional.
2. Arrays must be declared with a type and size, then initialized using "new" to allocate memory.
3. Individual elements can be accessed via indexes and modified. Arrays support common operations like sorting and searching.
4. The Arrays class provides useful methods for operations on arrays like sorting.
The document discusses different types of arrays. An array is a collection of consecutive memory locations with the same name and data type. Arrays allow storing multiple values under a single name. The key types are one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, while two-dimensional arrays can be visualized as a table with rows and columns. The document also covers array initialization, accessing elements, searching, sorting, and provides examples of one-dimensional and two-dimensional arrays.
The document discusses data structures and algorithms. It defines data structures as a way of organizing data that considers both the items stored and their relationship. Common data structures include stacks, queues, lists, trees, and graphs. Linear data structures store data in a sequence, while non-linear data structures have no inherent sequence. The document also defines algorithms as finite sets of instructions to accomplish tasks and discusses properties like input, output, definiteness, and termination. Common algorithms manipulate linear data structures like arrays and linked lists.
The document discusses arrays in C programming. It covers one-dimensional, two-dimensional, and multi-dimensional arrays. It explains how to declare, initialize, and access array elements. It also discusses memory representation of two-dimensional arrays in row-major and column-major order. Additionally, it provides examples of calculating addresses of array elements and passing arrays to functions. Common applications of arrays and their advantages and disadvantages are summarized.
Here is the output of the given code segment:
int count = 0;
double sum = 0;
for (int row = 0; row <jagged.length; row++) {
count += jagged[row].length;
for(int col=0; col<jagged[row].length; col++) {
sum += jagged[row][col];
}
}
System.out.println("Number of elements: " + count);
System.out.println("Sum of all elements: " + sum);
The output would be:
Number of elements: 15
Sum of all elements: 52.0
The outer for loop iterates
Arrays are a commonly used data structure that store multiple elements of the same type. Elements in an array are accessed using subscripts or indexes, with the first element having an index of 0. Multidimensional arrays can store elements in rows and columns, accessed using two indexes. Arrays are stored linearly in memory in either row-major or column-major order, which affects how elements are accessed.
Packages and Java Library: Introduction, Defining Package, Importing Packages and
Classes into Programs, Path and Class Path, Access Control, Packages in Java SE, Java.lang
Package and its Classes, Class Object, Enumeration, class Math, Wrapper Classes, Autoboxing and Auto-unboxing, Java util Classes and Interfaces, Formatter Class, Random Class,
Time Package, Class Instant (java. time. Instant), Formatting for Date/Time in Java, Temporal
Adjusters Class, Temporal Adjusters Class.
Java. lang Package and its Classes:
The most important classes are of lang are
• Object, which is the root of the class hierarchy, and Class, instances of which
represent classes at runtime.
o protected Object clone()
o boolean equals(Object obj)
o protected void finalize()
o Class getClass()
o int hashCode()
o void notify()
o void notifyAll()
o void wait()
o String toString()
• The wrapper classes
o Boolean
o Character
o Integer
o Short
o Byte
o Long
o Float
o Double
• The classes String, StringBuffer, and StringBuilder similarly provide commonly used
operations on character strings.
• Class Throwable encompasses objects that may be thrown by the throw statement.
Subclasses of Throwable represent errors and exceptions.
Enumeration in java:
class EnumExample
{
//defining enum within class
public enum Season { WINTER, SPRING, SUMMER, FALL }
public static void main(String[] args)
{
//printing all enum
for (Season s : Season.values())
{
System.out.println(s);
}
System.out.println("Value of WINTER is: "+Season.valueOf("WINTER"));
System.out.println("Index of WINTER is: "+Season.valueOf("WINTER").ordinal());
System.out.println("Index of SUMMER is: "+Season.valueOf("SUMMER").ordinal()); Java. lang Package and its Classes:
The most important classes are of lang are
• Object, which is the root of the class hierarchy, and Class, instances of which
represent classes at runtime.
o protected Object clone()
o boolean equals(Object obj)
o protected void finalize()
o Class getClass()
o int hashCode()
o void notify()
o void notifyAll()
o void wait()
o String toString()
• The wrapper classes
o Boolean
o Character
o Integer
o Short
o Byte
o Long
o Float
o Double
• The classes String, StringBuffer, and StringBuilder similarly provide commonly used
operations on character strings.
• Class Throwable encompasses objects that may be thrown by the throw statement.
Subclasses of Throwable represent errors and exceptions.
Enumeration in java:
class EnumExample
{
//defining enum within class
public enum Season { WINTER, SPRING, SUMMER, FALL } Packages in Java SE:
Java Standard Edition provides 14 packages namely –
• applet − This package provides classes and methods to create and communicate with
the applets.
• awt− This package provides classes and methods to create user interfaces.
• io− This package contains classes and methods to read and write data standard input
and output devices, spublic Addition(double a,double b)
{
this.a=a;
this.b=b;
}
public void suImpor
NumPy is a Python package that is used for scientific computing and working with multidimensional arrays. It allows fast operations on arrays through the use of n-dimensional arrays and has functions for creating, manipulating, and transforming NumPy arrays. NumPy arrays can be indexed, sliced, and various arithmetic operations can be performed on them element-wise for fast processing of large datasets.
This document discusses arrays in three sentences or less:
Arrays allow storing and accessing multiple values under a single name, with each value stored in consecutive memory locations. Arrays have advantages like efficiently storing and processing large datasets and easily applying operations like sorting and searching. The document covers one-dimensional and two-dimensional arrays, explaining how to declare, initialize, access elements, and perform common operations like searching and sorting on arrays.
This document discusses arrays in three sentences or less:
Arrays allow storing and accessing multiple values under a single name, with each value stored in consecutive memory locations. Arrays come in one-dimensional, two-dimensional, and multi-dimensional forms and can be accessed using indexes. Common array operations include initialization, accessing elements, searching, sorting, and performing operations on all elements using loops.
The document discusses various data structures used in programming, including arrays, lists, linked lists, stacks, queues, and dictionaries. It provides definitions and summaries of each data structure, including their common operations and time complexities. For example, it notes that arrays provide O(1) direct access by index but fixed size, while lists are dynamically sized but insertion/deletion at non-end positions is O(n).
An array is a collection of consecutive memory locations that share a common name and type. It allows storing multiple values of the same type together. Arrays have several advantages like storing large numbers of values with a single name and processing values easily. There are different types of arrays including one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, while two-dimensional arrays can be thought of as tables with rows and columns. Elements within arrays can be accessed using their index or position. Common array operations include initialization, accessing elements, searching, and sorting elements.
An array is a group of consecutive memory locations that share the same name and data type. It allows storing multiple values of the same type together. Arrays can store large numbers of values with a single name and process many values easily and quickly. There are one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, two-dimensional arrays arrange elements in a table with rows and columns, and multi-dimensional arrays extend this concept to three or more dimensions.
Arrays allow storing multiple values in a single variable. An array is a collection of consecutive memory locations with the same name and type. Elements in an array are accessed using an index. There are different types of arrays including one-dimensional, two-dimensional, and multi-dimensional arrays. Common operations on arrays include accessing elements, searching, and sorting. Sorting techniques for arrays include selection sort and bubble sort. Two-dimensional arrays can represent data in a table with rows and columns.
Arrays allow storing multiple values of the same data type together in computer memory. One-dimensional arrays use a single subscript to access each element, while two-dimensional arrays use two subscripts to represent the row and column of each element. Elements in arrays are stored contiguously in memory. Common operations on arrays include initialization, accessing elements, and sorting or searching elements.
An array is a collection of similar data elements that are stored in consecutive memory locations and referenced using an index. Arrays allow storing multiple values of the same data type. Elements are accessed using the index/subscript. Two-dimensional arrays store elements in a tabular form using two indices for row and column. Sparse matrices store only non-zero elements to save memory by representing the matrix as an array or linked list of triples with the row, column, and value of each non-zero element. Common array operations include traversing, inserting, deleting, searching, and sorting elements.
This document provides an introduction to data structures and algorithms. It defines data structures as a way of organizing data that considers both the items stored and their relationship. Common data structures include stacks, queues, lists, trees, graphs, and tables. Data structures are classified as primitive or non-primitive based on how close the data items are to machine-level instructions. Linear data structures like arrays and linked lists store data in a sequence, while non-linear structures like trees and graphs do not rely on sequence. The document outlines several common data structures and their characteristics, as well as abstract data types, algorithms, and linear data structures like arrays. It provides examples of one-dimensional and two-dimensional arrays and how they are represented in
This document provides an overview of arrays in Java, including:
1. Arrays allow storing multiple values of the same type and can be one-dimensional or multi-dimensional.
2. Arrays must be declared with a type and size, then initialized using "new" to allocate memory.
3. Individual elements can be accessed via indexes and modified. Arrays support common operations like sorting and searching.
4. The Arrays class provides useful methods for operations on arrays like sorting.
The document discusses different types of arrays. An array is a collection of consecutive memory locations with the same name and data type. Arrays allow storing multiple values under a single name. The key types are one-dimensional, two-dimensional, and multi-dimensional arrays. One-dimensional arrays store elements in a linear list, while two-dimensional arrays can be visualized as a table with rows and columns. The document also covers array initialization, accessing elements, searching, sorting, and provides examples of one-dimensional and two-dimensional arrays.
The document discusses data structures and algorithms. It defines data structures as a way of organizing data that considers both the items stored and their relationship. Common data structures include stacks, queues, lists, trees, and graphs. Linear data structures store data in a sequence, while non-linear data structures have no inherent sequence. The document also defines algorithms as finite sets of instructions to accomplish tasks and discusses properties like input, output, definiteness, and termination. Common algorithms manipulate linear data structures like arrays and linked lists.
The document discusses arrays in C programming. It covers one-dimensional, two-dimensional, and multi-dimensional arrays. It explains how to declare, initialize, and access array elements. It also discusses memory representation of two-dimensional arrays in row-major and column-major order. Additionally, it provides examples of calculating addresses of array elements and passing arrays to functions. Common applications of arrays and their advantages and disadvantages are summarized.
Here is the output of the given code segment:
int count = 0;
double sum = 0;
for (int row = 0; row <jagged.length; row++) {
count += jagged[row].length;
for(int col=0; col<jagged[row].length; col++) {
sum += jagged[row][col];
}
}
System.out.println("Number of elements: " + count);
System.out.println("Sum of all elements: " + sum);
The output would be:
Number of elements: 15
Sum of all elements: 52.0
The outer for loop iterates
"Boiler Feed Pump (BFP): Working, Applications, Advantages, and Limitations E...Infopitaara
A Boiler Feed Pump (BFP) is a critical component in thermal power plants. It supplies high-pressure water (feedwater) to the boiler, ensuring continuous steam generation.
⚙️ How a Boiler Feed Pump Works
Water Collection:
Feedwater is collected from the deaerator or feedwater tank.
Pressurization:
The pump increases water pressure using multiple impellers/stages in centrifugal types.
Discharge to Boiler:
Pressurized water is then supplied to the boiler drum or economizer section, depending on design.
🌀 Types of Boiler Feed Pumps
Centrifugal Pumps (most common):
Multistage for higher pressure.
Used in large thermal power stations.
Positive Displacement Pumps (less common):
For smaller or specific applications.
Precise flow control but less efficient for large volumes.
🛠️ Key Operations and Controls
Recirculation Line: Protects the pump from overheating at low flow.
Throttle Valve: Regulates flow based on boiler demand.
Control System: Often automated via DCS/PLC for variable load conditions.
Sealing & Cooling Systems: Prevent leakage and maintain pump health.
⚠️ Common BFP Issues
Cavitation due to low NPSH (Net Positive Suction Head).
Seal or bearing failure.
Overheating from improper flow or recirculation.
Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
Fluid mechanics is the branch of physics concerned with the mechanics of fluids (liquids, gases, and plasmas) and the forces on them. Originally applied to water (hydromechanics), it found applications in a wide range of disciplines, including mechanical, aerospace, civil, chemical, and biomedical engineering, as well as geophysics, oceanography, meteorology, astrophysics, and biology.
It can be divided into fluid statics, the study of various fluids at rest, and fluid dynamics.
Fluid statics, also known as hydrostatics, is the study of fluids at rest, specifically when there's no relative motion between fluid particles. It focuses on the conditions under which fluids are in stable equilibrium and doesn't involve fluid motion.
Fluid kinematics is the branch of fluid mechanics that focuses on describing and analyzing the motion of fluids, such as liquids and gases, without considering the forces that cause the motion. It deals with the geometrical and temporal aspects of fluid flow, including velocity and acceleration. Fluid dynamics, on the other hand, considers the forces acting on the fluid.
Fluid dynamics is the study of the effect of forces on fluid motion. It is a branch of continuum mechanics, a subject which models matter without using the information that it is made out of atoms; that is, it models matter from a macroscopic viewpoint rather than from microscopic.
Fluid mechanics, especially fluid dynamics, is an active field of research, typically mathematically complex. Many problems are partly or wholly unsolved and are best addressed by numerical methods, typically using computers. A modern discipline, called computational fluid dynamics (CFD), is devoted to this approach. Particle image velocimetry, an experimental method for visualizing and analyzing fluid flow, also takes advantage of the highly visual nature of fluid flow.
Fundamentally, every fluid mechanical system is assumed to obey the basic laws :
Conservation of mass
Conservation of energy
Conservation of momentum
The continuum assumption
For example, the assumption that mass is conserved means that for any fixed control volume (for example, a spherical volume)—enclosed by a control surface—the rate of change of the mass contained in that volume is equal to the rate at which mass is passing through the surface from outside to inside, minus the rate at which mass is passing from inside to outside. This can be expressed as an equation in integral form over the control volume.
The continuum assumption is an idealization of continuum mechanics under which fluids can be treated as continuous, even though, on a microscopic scale, they are composed of molecules. Under the continuum assumption, macroscopic (observed/measurable) properties such as density, pressure, temperature, and bulk velocity are taken to be well-defined at "infinitesimal" volume elements—small in comparison to the characteristic length scale of the system, but large in comparison to molecular length scale
Raish Khanji GTU 8th sem Internship Report.pdfRaishKhanji
This report details the practical experiences gained during an internship at Indo German Tool
Room, Ahmedabad. The internship provided hands-on training in various manufacturing technologies, encompassing both conventional and advanced techniques. Significant emphasis was placed on machining processes, including operation and fundamental
understanding of lathe and milling machines. Furthermore, the internship incorporated
modern welding technology, notably through the application of an Augmented Reality (AR)
simulator, offering a safe and effective environment for skill development. Exposure to
industrial automation was achieved through practical exercises in Programmable Logic Controllers (PLCs) using Siemens TIA software and direct operation of industrial robots
utilizing teach pendants. The principles and practical aspects of Computer Numerical Control
(CNC) technology were also explored. Complementing these manufacturing processes, the
internship included extensive application of SolidWorks software for design and modeling tasks. This comprehensive practical training has provided a foundational understanding of
key aspects of modern manufacturing and design, enhancing the technical proficiency and readiness for future engineering endeavors.
Data Structures_Linear data structures Linked Lists.pptxRushaliDeshmukh2
Concept of Linear Data Structures, Array as an ADT, Merging of two arrays, Storage
Representation, Linear list – singly linked list implementation, insertion, deletion and searching operations on linear list, circularly linked lists- Operations for Circularly linked lists, doubly linked
list implementation, insertion, deletion and searching operations, applications of linked lists.
Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.
We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a standalone surrogate modeling tool. We first briefly present the key mathematical tools on the basis of GP modeling (a.k.a. Kriging), as well as the associated theoretical and computational framework. We then provide an extensive overview of the available features of the software and demonstrate its flexibility and user-friendliness. Finally, we showcase the usage and the performance of the software on several applications borrowed from different fields of engineering. These include a basic surrogate of a well-known analytical benchmark function; a hierarchical Kriging example applied to wind turbine aero-servo-elastic simulations and a more complex geotechnical example that requires a non-stationary, user-defined correlation function. The GP-module, like the rest of the scientific code that is shipped with UQLab, is open source (BSD license).
Various Operations Of Array(Data Structure Algorithm).pptx
1. GOVERNMENT COLLEGE OF
ENGINEERING AND TEXTILE
TECHNOLOGY, SERAMPORE
Continuous Assessment : 1
NAME OF THE TOPIC : VARIOUS
OPERATION OF ARRAY
Name : Atirath Pal
University Registration No :
231100110042(2023-24)
University Roll No : 11000123007
Department : Computer
Science and Engineering
Year : 2nd
Year Semester : 3rd
Sem
Paper Name : Data Structure And
Algorithm
Paper Code : PCC-CS301
2. Topics Discussed
1. Introduction to Array
2. Array Initialisation
3. Accessing Array Elements
4. Updating Array elements
5. Array Traversal
6. Searching An Array Element
7. Insertion and Deletion of an Array Element
8. Sorting an Array
9. Multi-Dimentional Array
10.Conclution
3. Array
What is an array ?
An array is a fixed-size collection of similar data items stored in
contiguous memory locations. It can be used to store the collection of
primitive data types such as int, char, float, etc., and also derived and user-
defined data types such as pointers, structures etc.
Array Declaration
In C and other programming
languages, we have to
declare the array like any
other variable before using it.
We can declare an array by
specifying its name, the type
of its elements, and the size
of its dimensions. When we
declare an array in C, the
compiler allocates the
memory block of the specified
size to the array name.
Syntax:
Data_type array_name [size]
Page Number 1
4. Array Initialization
Initialization is the process to assign some initial value to the variable. When
the array is declared or allocated memory, the elements of the array contain
some garbage value. So, we need to initialize the array to some meaningful value.
There are multiple ways in which we can initialize an array in C.
1. Array Initialization with Declaration
In this method, we initialize the array
along with its declaration. An initializer
list is the list of values enclosed within
braces { } separated b a comma.
Syntax :
datatype arrayname [size] = {value1, value2, ... valueN}
2. Array Initialization with Declaration without Size
If we initialize an array using an initializer list, we can
skip declaring the size of the array as the compiler can
automatically deduce the size of the array in these
cases. Syntax :
data_type array_name[ ] = {1,2,3,4,5}; // array size is 5.
3. Array Initialization after Declaration (using loops)
We can use for loop, while loop, or do-while loop to
assign the value to each element of the array after
declaration.
int n =5;
int arr[n];
for (int i = 0 ; i < n ; i+
+)
{
scanf("%d", &arr[i]);
}
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5. Access Array Elements
We can access any element of an array using the array subscript operator [ ]
and the index value i of the element. One thing to note is that the indexing in
the array always starts with 0, i.e., the first element is at index 0 and the last
element is at N – 1 where N is the number of elements in the array.
Update Array Element
We can change the value of any
element by using their index .
Syntax :
array_name[index] = updated value;
Array Traversal
Traversal is the process in which we visit every
element of the data structure. For this ,we use
loops(for loop or while loop) to iterate
through each element of the array.
Syntax : using for loop
for (int i = 0; i < N; i++)
{
array_name[i];
}
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6. Searching in Array
Searching for an element in an array involves checking whether a specific value
exists in the array and finding its position if it does. If the element does not exist then
we usually return false; There are two common techniques for searching in an array .
1. Binary Search 2. Linear search
Searching Algorithm Time Complexity Auxiliary Space
Binary Search O(log 2 N) O(1)
Linear Search O(N) for worst case O(1)
Binary Search : Works on sorted
arrays, repeatedly dividing the
search interval in half. This is
usefull when the array is sorted.
Linear search : Sequentially
checks each element until a match is
found. This is usefull when the
array is Unsorted.
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7. Insert operation in an array at any position can be performed by shifting
elements to the right, which are on the right side of the required
position.
Insertion & Deletion of elements from an Array
To Delete an element from
an Array , We need its
Specific Index .
After Deleting the element
all the right side element
will shift one box towards
left.
// Inserting an element.
void insertElement(int arr[],
int n, int x, int pos)
{
for (int i = n - 1; i >= pos;
i--)
arr[i + 1] = arr[i];
arr[pos] = x;
}
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8. Sorting An Array
Sorting an array in ascending order means arranging the elements from smallest
element to largest element. There are many ways by which the array can be sorted.
1. Selection Sort 2. Bubble Sort 3. Insertion Sort
4. Merge Sort 5. Quick Sort
1. Selection Sort : Finds the minimum element from the
unsorted part of the array and places it at the beginning
of the sorted part of the array .
2. Bubble Sort : Repeatedly compares adjacent elements
and swaps them if they are in the wrong order.
3. Insertion Sort : Builds a sorted subarray by inserting
elements into their correct positions.
4. Merge Sort : Divides the array into subarrays, sorts
them recursively, and then merges the sorted subarrays.
5. Quick Sort : QuickSort is a sorting algorithm based on
the Divide and Conquer algorithm that picks an element as
a pivot and partitions the given array around the picked
pivot.
Sorting Algorithm Time Complexity Auxiliary Space
1. Selection Sort
2. Bubble Sort
3. Insertion Sort
4. Merge Sort
5. Quick Sort
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9. Page Number 7
Multi-Dimentional Array
A multi-dimensional array is an
array with more than one level
or dimension. For example, a 2D
array, or two-dimensional array,
is an array of arrays, meaning it is
a matrix of rows and columns
(think of a table).
Syntax :
data_type array_name[size1][size2]....
[sizeN];
data_type: Type of data to be stored in
the array.
array_name: Name of the array.
size1, size2,…, sizeN: Size of each
dimension.
int x[3][2] = { { 0, 1 }, { 2, 3 }, { 4, 5 } };
// output each array element's
value
for (int i = 0; i < 3; i++) {
for (int j = 0; j < 2; j++) {
printf("Element at x[%i][%i]: ", i, j);
printf("%dn", x[i][j]);
}
}
10. Page Number 8
ConClution
Arrays are fundamental data structure in programming. Arrays
provide a powerful and efficient way to store and manipulate
collections of data.
Initialization and Declaration: How to create and define arrays.
Accessing and Modifying Elements: Techniques to retrieve and
update array elements.
Array Traversal: Methods to iterate through arrays, including loops
and built-in functions.
Array Manipulations: Operations such as insertion, deletion,
sorting, and searching within arrays.
Multidimensional Arrays: Understanding arrays with multiple
dimensions and their use cases.
Advanced Operations: Exploring functions like merging, splitting,
and applying mathematical operations across array elements.
Reference
https://www.geeksforgeeks.org/multidimensional-arrays-in-c/
Data Structure And Algorithm by Ronald Rivest
https://www.geeksforgeeks.org/c-arrays/
https://www.programiz.com/c-programming/c-arrays