The document discusses linked lists and C++ code for implementing them. It describes how a linked list is structured in memory using nodes that point to the next node. It also shows the Node class definition used to create nodes, and the List class with methods like add() to insert new nodes into the linked list.
Data structures cs301 power point slides lecture 03Nasir Mehmood
The document discusses linked lists and C++ code for implementing a linked list. It includes definitions of a Node class to represent individual nodes, with fields for storing data and pointers to other nodes. It also defines a List class for managing the overall linked list, including functions for adding new nodes to the list. Diagrams show how nodes are linked and stored non-contiguously in memory. The code provided implements adding new nodes to the front or end of the linked list by updating pointer references between nodes.
The document summarizes new features in C# 4.0 including optional and named parameters, dynamic typing, tuples, complex numbers, parallel programming, and thread-safe data structures. It also mentions code contracts, memory-mapped files, and the Managed Extensibility Framework.
This document discusses binary search trees and provides source code to implement binary search tree traversal operations. It explains that a binary search tree is a binary tree where the left child of a node is less than the parent and the right child is greater. It provides code for preorder, inorder, and postorder traversals of the binary search tree and outputs the traversal order for a sample tree.
1) OTcl commands allow users to call C++ functions from OTcl by binding C++ classes and functions to OTcl objects and commands.
2) This document demonstrates how to create an OTcl command called "show-delay" that displays the value of a C++ variable when called.
3) Key steps include adding the C++ variable and command function, compiling the changes, creating an OTcl object, and invoking the command to display the variable value. Modifying the variable updates the output when the command is rerun.
The document discusses various Python interpreters:
- CPython is the default interpreter but has a Global Interpreter Lock (GIL) limiting performance on multi-core systems.
- Jython and IronPython run Python on the JVM and CLR respectively, allowing true concurrency but can be slower than CPython.
- PyPy uses a just-in-time (JIT) compiler which can provide huge performance gains compared to CPython as shown on speed.pypy.org.
- Unladen Swallow aimed to add JIT compilation to CPython but was merged into Python 3.
The document contains 21 code snippets showing examples of various Java programming concepts. The code snippets cover topics such as classes and objects, inheritance, interfaces, exceptions, threads, applets, packages, input/output, and networking.
This document discusses binding variables between C++ and OTcl in NS2 simulations. It describes creating a C++ class with a variable and binding it to an OTcl variable using the bind() function in the C++ constructor. This allows modifying the variable from either domain. The document provides an example of binding a C++ variable "count_" to the OTcl variable "ocount_", creating an OTcl object, and verifying it can get and set the shared variable from OTcl or by changing it in C++.
What's new in C# 6 - NetPonto Porto 20160116Paulo Morgado
The document summarizes the new features introduced in C# 6. Key highlights include:
- Improvements to auto-properties allowing initializers and read-only properties.
- Expression-bodied function members allowing shorter syntax for methods and properties.
- The 'using static' directive for importing static members without instances.
- The null-conditional operator ?. for null-checking property and method calls.
- String interpolation $ for easier string formatting.
- 'nameof' expressions for getting string names at compile-time.
- Collection initializers support for initializing objects with extension methods.
- Index initializers for initializing indexes in dictionaries and arrays.
- Exception filters for catching specific exception
Data structures cs301 power point slides lecture 03Nasir Mehmood
The document discusses linked lists and C++ code for implementing a linked list. It includes definitions of a Node class to represent individual nodes, with fields for storing data and pointers to other nodes. It also defines a List class for managing the overall linked list, including functions for adding new nodes to the list. Diagrams show how nodes are linked and stored non-contiguously in memory. The code provided implements adding new nodes to the front or end of the linked list by updating pointer references between nodes.
The document summarizes new features in C# 4.0 including optional and named parameters, dynamic typing, tuples, complex numbers, parallel programming, and thread-safe data structures. It also mentions code contracts, memory-mapped files, and the Managed Extensibility Framework.
This document discusses binary search trees and provides source code to implement binary search tree traversal operations. It explains that a binary search tree is a binary tree where the left child of a node is less than the parent and the right child is greater. It provides code for preorder, inorder, and postorder traversals of the binary search tree and outputs the traversal order for a sample tree.
1) OTcl commands allow users to call C++ functions from OTcl by binding C++ classes and functions to OTcl objects and commands.
2) This document demonstrates how to create an OTcl command called "show-delay" that displays the value of a C++ variable when called.
3) Key steps include adding the C++ variable and command function, compiling the changes, creating an OTcl object, and invoking the command to display the variable value. Modifying the variable updates the output when the command is rerun.
The document discusses various Python interpreters:
- CPython is the default interpreter but has a Global Interpreter Lock (GIL) limiting performance on multi-core systems.
- Jython and IronPython run Python on the JVM and CLR respectively, allowing true concurrency but can be slower than CPython.
- PyPy uses a just-in-time (JIT) compiler which can provide huge performance gains compared to CPython as shown on speed.pypy.org.
- Unladen Swallow aimed to add JIT compilation to CPython but was merged into Python 3.
The document contains 21 code snippets showing examples of various Java programming concepts. The code snippets cover topics such as classes and objects, inheritance, interfaces, exceptions, threads, applets, packages, input/output, and networking.
This document discusses binding variables between C++ and OTcl in NS2 simulations. It describes creating a C++ class with a variable and binding it to an OTcl variable using the bind() function in the C++ constructor. This allows modifying the variable from either domain. The document provides an example of binding a C++ variable "count_" to the OTcl variable "ocount_", creating an OTcl object, and verifying it can get and set the shared variable from OTcl or by changing it in C++.
What's new in C# 6 - NetPonto Porto 20160116Paulo Morgado
The document summarizes the new features introduced in C# 6. Key highlights include:
- Improvements to auto-properties allowing initializers and read-only properties.
- Expression-bodied function members allowing shorter syntax for methods and properties.
- The 'using static' directive for importing static members without instances.
- The null-conditional operator ?. for null-checking property and method calls.
- String interpolation $ for easier string formatting.
- 'nameof' expressions for getting string names at compile-time.
- Collection initializers support for initializing objects with extension methods.
- Index initializers for initializing indexes in dictionaries and arrays.
- Exception filters for catching specific exception
Rainer Grimm, “Functional Programming in C++11”Platonov Sergey
C++ это мультипарадигменный язык, поэтому программист сам может выбирать и совмещать структурный, объектно-ориентированный, обобщенный и функциональный подходы. Функциональный аспект C++ особенно расширился стандартом C++11: лямбда-функции, variadic templates, std::function, std::bind. (язык доклада: английский).
The document contains code snippets for various Java programs that perform tasks like calculating the area of a circle, finding the factorial of a number, displaying prime numbers, sorting an array, counting characters in a string, reversing a string, creating and running threads, handling exceptions, and creating a simple applet with buttons to change the background color. The code examples demonstrate basic Java programming concepts like classes, methods, loops, arrays, exceptions, threads, applets, and event handling.
The document contains code for 9 Java programming practical assignments. The first practical accepts coefficients for a quadratic equation, calculates the roots and outputs the results. The second accepts two matrices as input and calculates their addition. The third sorts an array of strings in ascending order. The fourth creates an Animal interface and classes that implement it to demonstrate polymorphism. The remaining practicals demonstrate inheritance, exceptions, GUI programming using Swing components, and the List interface.
The document provides an introduction to the Java programming language. It discusses Java's history and key characteristics like inheritance, encapsulation, polymorphism, and abstraction. It also covers Java's requirements including hardware and software needs. The document then demonstrates how to set up Java and provides examples of Java programs to print "Hello World", calculate averages, demonstrate type casting, find arguments passed at runtime, test prime numbers, calculate simple interest, use classes, find greatest common divisor, and more. It shows how to use concepts like inheritance, abstract classes, interfaces, exceptions, packages and more.
This document contains source code for several Java programs that demonstrate concepts related to networking and URLs. The programs cover topics like retrieving a URL, getting URL information, working with InetAddress, demonstrating parts of a URL, and connectionless and connection-oriented communication between a server and client using UDP and TCP sockets. The code examples are accompanied by expected output.
The document describes data structures and their implementation using C and C++. It includes:
1) An introduction to data structures and their use in organizing data efficiently.
2) Requirements for using data structures in C and C++ including hardware requirements like RAM and software requirements like Turbo C++.
3) Examples of programs to implement basic data structures like linked lists, stacks, queues and sorting algorithms like insertion sort, bubble sort, quick sort and merge sort.
The program defines a jagged array with 3 inner arrays of unspecified length. It initializes the inner arrays. It then iterates through the jagged array and sums all elements of the inner arrays. The total sum is returned.
This document discusses ways to introduce functional programming concepts into Java code using existing Java 8 features, third-party libraries like Guava and LambdaJ, and by implementing common functional patterns and data structures yourself. It provides examples of using higher order functions, pure functions, recursion, and currying in Java code. It also summarizes capabilities of the Guava and LambdaJ libraries for functional programming in Java.
This document discusses refactoring Java code to Clojure using macros. It provides examples of refactoring Java code that uses method chaining to equivalent Clojure code using the threading macros (->> and -<>). It also discusses other Clojure features like type hints, the doto macro, and polyglot projects using Leiningen.
The document contains 27 C# programs demonstrating various concepts in C# programming such as: getting user input and performing calculations; defining methods within classes; using instance variables; static variables and methods; inheritance; namespaces; constructors; destructors; method overloading and overriding; and the 'this' keyword. The programs cover basic to more advanced C# programming concepts.
The document discusses networking concepts like client-server communication and provides code examples of an echo server and client. It explains how a client and server can communicate by creating sockets to connect to each other on a specified port, then reading from and writing to each other's input and output streams. The document also provides an example of a multi-threaded echo server that handles multiple clients concurrently by creating a new thread for each client. Finally, it discusses a quote server that uses UDP to send a random quote to clients in response to receiving an empty datagram packet from them.
program list:
WAP program to show constructor overloading using static member.
WAP to implement multilevel inheritance and method overriding.
WAP to implement interface class and show use of package.
WAP to implement multilevel exception handling and create your own exception.
WAP to implement 3 threads such that 1st sleeps for 200ms, 2nd for 400ms and 3rd for 600ms.
WAP to create applet of moving banner.
WAP to make a simple calculator.
Build a client server chat application.
Bartosz Milewski, “Re-discovering Monads in C++”Platonov Sergey
Once you know what a monad is, you start seeing them everywhere. The std::future library of C++11 was an example of an incomplete design, which stopped short of recognizing the monadic nature of futures. This is now being remedied in C++17, and there are new library additions, like std::expected and the range library, that are much more monad-conscious. I’ll explain what a monad is using copious C++ examples.
This document contains links and code snippets related to Groovy and GitHub Gists. It includes examples of using Groovy for tasks like playing MIDI notes, generating musical scores, adding nodes to a Jenkins server, and calculating factorials in different styles from a newbie to an expert programmer. The document also references a Greasemonkey script for running a Groovy web console in Firefox.
The document contains 8 C# programs that print various patterns. The programs use for loops and if/else statements to iterate through arrays or integers and print numbers or values in a specific patterned format. They demonstrate ways to print triangles, grids, ascending/descending sequences and more using basic programming constructs.
This document contains the code for 13 programs written in C# .NET as part of a lab manual for a DOTNET Technology course. The programs cover basic concepts like arithmetic calculations, array operations, classes, inheritance, functions, and Windows forms applications including a calculator and basic notepad. For each program, the code is provided along with sample input/output.
The document outlines a Java programming practical course covering various Java concepts and programs. It includes 40 practical programs to be completed ranging from basic programs to find area of a circle, factorial of a number to more advanced programs involving OOP concepts like inheritance, abstraction, exception handling and multithreading. It also provides the evaluation and marking scheme for the practical exam.
JVM Mechanics: Understanding the JIT's TricksDoug Hawkins
In this talk, we'll walkthrough how the JIT optimizes a piece Java code step-by-step. In doing so, you'll learn some of the amazing feats of optimization that JVMs can perform, but also some surprisingly simple things that prevent your code from running fast.
The document contains 19 programs written in C# by Yasir Ahmed Khan. The programs cover basic console input/output operations like taking user input, printing output, and performing simple calculations. Some example programs calculate area of a square, compare numbers, convert between units like Celsius to Fahrenheit, and generate tables. The programs demonstrate basic programming concepts and C# syntax.
The document discusses Huffman encoding, which is a method for data compression of text documents. It uses a binary tree to assign variable-length codes to each letter in the original message, with more frequent letters receiving shorter codes. This allows the message to be compressed by encoding it with the Huffman codes rather than standard 8-bit ASCII codes. The algorithm works by first listing each unique letter and its frequency, and then combining the two least frequent letters into a node, repeating this process until a full binary tree is constructed with a single root node.
The document discusses different types of tree data structures, focusing on binary trees. It defines a binary tree recursively as a finite set of elements that is either empty or partitioned into three disjoint subsets containing a single root element and left and right subtrees. The document outlines common binary tree terminology like nodes, parents, descendants, and levels. It also describes complete binary trees where all levels are fully filled except the lowest, which has nodes filled from left to right.
The document discusses C++ templates and how they can be used to create a generic stack class that can hold different data types. It provides an example stack class implementation using templates that defines methods like push(), pop(), peek(), and empty(). It also discusses how function calls use a call stack to pass arguments and return values.
Rainer Grimm, “Functional Programming in C++11”Platonov Sergey
C++ это мультипарадигменный язык, поэтому программист сам может выбирать и совмещать структурный, объектно-ориентированный, обобщенный и функциональный подходы. Функциональный аспект C++ особенно расширился стандартом C++11: лямбда-функции, variadic templates, std::function, std::bind. (язык доклада: английский).
The document contains code snippets for various Java programs that perform tasks like calculating the area of a circle, finding the factorial of a number, displaying prime numbers, sorting an array, counting characters in a string, reversing a string, creating and running threads, handling exceptions, and creating a simple applet with buttons to change the background color. The code examples demonstrate basic Java programming concepts like classes, methods, loops, arrays, exceptions, threads, applets, and event handling.
The document contains code for 9 Java programming practical assignments. The first practical accepts coefficients for a quadratic equation, calculates the roots and outputs the results. The second accepts two matrices as input and calculates their addition. The third sorts an array of strings in ascending order. The fourth creates an Animal interface and classes that implement it to demonstrate polymorphism. The remaining practicals demonstrate inheritance, exceptions, GUI programming using Swing components, and the List interface.
The document provides an introduction to the Java programming language. It discusses Java's history and key characteristics like inheritance, encapsulation, polymorphism, and abstraction. It also covers Java's requirements including hardware and software needs. The document then demonstrates how to set up Java and provides examples of Java programs to print "Hello World", calculate averages, demonstrate type casting, find arguments passed at runtime, test prime numbers, calculate simple interest, use classes, find greatest common divisor, and more. It shows how to use concepts like inheritance, abstract classes, interfaces, exceptions, packages and more.
This document contains source code for several Java programs that demonstrate concepts related to networking and URLs. The programs cover topics like retrieving a URL, getting URL information, working with InetAddress, demonstrating parts of a URL, and connectionless and connection-oriented communication between a server and client using UDP and TCP sockets. The code examples are accompanied by expected output.
The document describes data structures and their implementation using C and C++. It includes:
1) An introduction to data structures and their use in organizing data efficiently.
2) Requirements for using data structures in C and C++ including hardware requirements like RAM and software requirements like Turbo C++.
3) Examples of programs to implement basic data structures like linked lists, stacks, queues and sorting algorithms like insertion sort, bubble sort, quick sort and merge sort.
The program defines a jagged array with 3 inner arrays of unspecified length. It initializes the inner arrays. It then iterates through the jagged array and sums all elements of the inner arrays. The total sum is returned.
This document discusses ways to introduce functional programming concepts into Java code using existing Java 8 features, third-party libraries like Guava and LambdaJ, and by implementing common functional patterns and data structures yourself. It provides examples of using higher order functions, pure functions, recursion, and currying in Java code. It also summarizes capabilities of the Guava and LambdaJ libraries for functional programming in Java.
This document discusses refactoring Java code to Clojure using macros. It provides examples of refactoring Java code that uses method chaining to equivalent Clojure code using the threading macros (->> and -<>). It also discusses other Clojure features like type hints, the doto macro, and polyglot projects using Leiningen.
The document contains 27 C# programs demonstrating various concepts in C# programming such as: getting user input and performing calculations; defining methods within classes; using instance variables; static variables and methods; inheritance; namespaces; constructors; destructors; method overloading and overriding; and the 'this' keyword. The programs cover basic to more advanced C# programming concepts.
The document discusses networking concepts like client-server communication and provides code examples of an echo server and client. It explains how a client and server can communicate by creating sockets to connect to each other on a specified port, then reading from and writing to each other's input and output streams. The document also provides an example of a multi-threaded echo server that handles multiple clients concurrently by creating a new thread for each client. Finally, it discusses a quote server that uses UDP to send a random quote to clients in response to receiving an empty datagram packet from them.
program list:
WAP program to show constructor overloading using static member.
WAP to implement multilevel inheritance and method overriding.
WAP to implement interface class and show use of package.
WAP to implement multilevel exception handling and create your own exception.
WAP to implement 3 threads such that 1st sleeps for 200ms, 2nd for 400ms and 3rd for 600ms.
WAP to create applet of moving banner.
WAP to make a simple calculator.
Build a client server chat application.
Bartosz Milewski, “Re-discovering Monads in C++”Platonov Sergey
Once you know what a monad is, you start seeing them everywhere. The std::future library of C++11 was an example of an incomplete design, which stopped short of recognizing the monadic nature of futures. This is now being remedied in C++17, and there are new library additions, like std::expected and the range library, that are much more monad-conscious. I’ll explain what a monad is using copious C++ examples.
This document contains links and code snippets related to Groovy and GitHub Gists. It includes examples of using Groovy for tasks like playing MIDI notes, generating musical scores, adding nodes to a Jenkins server, and calculating factorials in different styles from a newbie to an expert programmer. The document also references a Greasemonkey script for running a Groovy web console in Firefox.
The document contains 8 C# programs that print various patterns. The programs use for loops and if/else statements to iterate through arrays or integers and print numbers or values in a specific patterned format. They demonstrate ways to print triangles, grids, ascending/descending sequences and more using basic programming constructs.
This document contains the code for 13 programs written in C# .NET as part of a lab manual for a DOTNET Technology course. The programs cover basic concepts like arithmetic calculations, array operations, classes, inheritance, functions, and Windows forms applications including a calculator and basic notepad. For each program, the code is provided along with sample input/output.
The document outlines a Java programming practical course covering various Java concepts and programs. It includes 40 practical programs to be completed ranging from basic programs to find area of a circle, factorial of a number to more advanced programs involving OOP concepts like inheritance, abstraction, exception handling and multithreading. It also provides the evaluation and marking scheme for the practical exam.
JVM Mechanics: Understanding the JIT's TricksDoug Hawkins
In this talk, we'll walkthrough how the JIT optimizes a piece Java code step-by-step. In doing so, you'll learn some of the amazing feats of optimization that JVMs can perform, but also some surprisingly simple things that prevent your code from running fast.
The document contains 19 programs written in C# by Yasir Ahmed Khan. The programs cover basic console input/output operations like taking user input, printing output, and performing simple calculations. Some example programs calculate area of a square, compare numbers, convert between units like Celsius to Fahrenheit, and generate tables. The programs demonstrate basic programming concepts and C# syntax.
The document discusses Huffman encoding, which is a method for data compression of text documents. It uses a binary tree to assign variable-length codes to each letter in the original message, with more frequent letters receiving shorter codes. This allows the message to be compressed by encoding it with the Huffman codes rather than standard 8-bit ASCII codes. The algorithm works by first listing each unique letter and its frequency, and then combining the two least frequent letters into a node, repeating this process until a full binary tree is constructed with a single root node.
The document discusses different types of tree data structures, focusing on binary trees. It defines a binary tree recursively as a finite set of elements that is either empty or partitioned into three disjoint subsets containing a single root element and left and right subtrees. The document outlines common binary tree terminology like nodes, parents, descendants, and levels. It also describes complete binary trees where all levels are fully filled except the lowest, which has nodes filled from left to right.
The document discusses C++ templates and how they can be used to create a generic stack class that can hold different data types. It provides an example stack class implementation using templates that defines methods like push(), pop(), peek(), and empty(). It also discusses how function calls use a call stack to pass arguments and return values.
A skip list is a data structure that allows for efficient search, insertion, and deletion of elements. It consists of a series of lists where each list is a subsequence of the previous list. Searching is done by starting at the top list and dropping down lists if the key is smaller than the current element until the key is found or the bottom list is reached. Insertion uses a randomized algorithm where a coin is tossed to determine how many lists to insert into. Deletion removes the element from each list it exists in and removes empty lists.
The document discusses different ways to implement tables or dictionaries using data structures like arrays, linked lists, and skip lists. It explains that tables consist of rows and columns of data with fields/keys that uniquely identify each entry. Arrays allow fast searching if sorted but slow insertion/deletion. Linked lists allow fast insertion/deletion but slow searching. Skip lists combine fast search of sorted data structures with fast insertion/deletion of unsorted structures.
The document discusses algorithms for heap data structures. It describes methods for deleting the minimum item from a heap, percolating an item down the heap to maintain the heap property, and getting the minimum item. It also proves that building a heap from an array can be done in linear time by showing the sum of node heights is linear in the number of nodes.
The document discusses implementing a stack using a linked list as an alternative to an array. It explains that a linked list avoids size limitations of an array implementation. Elements can be inserted and removed from the start of the list in constant time, making it suitable for a stack. The four basic stack operations - push, pop, top, and isEmpty - can all be performed in constant time on this linked list implementation.
The document describes various tree rotation operations used to rebalance binary search trees, including single and double rotations. Single rotations include single right rotation and single left rotation, which rotate the tree around a single node. Double rotations first perform a single rotation on one child then a single rotation on the original node, such as double right-left rotation and double left-right rotation.
The document discusses using trees and parent pointers to represent sets and solve the dynamic equivalence problem. Each element begins in its own set, represented as a tree with that element as the root. The union operation merges two trees by making one root point to the other. Find returns the root of the tree an element belongs to by traversing parent pointers up the tree. This can be optimized using a technique called union by rank to keep tree heights small.
The document discusses different methods for handling collisions in hash tables, which occur when two keys hash to the same slot. It describes linear probing, where the next empty slot is used to store the colliding key; quadratic probing which uses a quadratic function to determine subsequent slots; and chaining, where each slot contains a linked list of colliding keys. It notes the advantages and disadvantages of each approach.
The document discusses different hashing techniques including linear probing, quadratic probing, and linked list chaining. It provides animations demonstrating how each technique handles collisions when storing data in an array. The document also discusses some common applications of hashing like symbol tables in compilers and spell checkers, as well as when hashing is most suitable compared to other data structures.
The document discusses various aspects of balanced binary search trees, including:
1) Const keyword can be used to mark parameters and return values as constant to prevent unintended modification.
2) AVL trees are binary search trees where the heights of left and right subtrees differ by at most 1.
3) For a binary search tree to be balanced, the heights of left and right subtrees should be close to equal to avoid a skewed or degenerate tree structure.
The document discusses divide and conquer algorithms for sorting, specifically mergesort and quicksort. It explains that mergesort works by recursively splitting a list in half, sorting the halves, and then merging the sorted halves together. Quicksort works by picking a pivot value and partitioning the list into elements less than and greater than the pivot, before recursively sorting the sublists. Both algorithms run in O(n log n) time.
The document describes the build heap algorithm for creating a min heap data structure from an unordered array of keys. The algorithm iterates from the last parent node to the first, calling a percolateDown function to shift nodes and maintain the min heap property as it builds the heap structure from the initial array. It also provides code snippets in C++ for implementing common heap operations like insertion, deletion, and accessing the minimum element.
The document discusses different ways to implement lists, including using arrays and linked memory. It describes representing a list as an array, with operations like add, remove, and find. Linked lists are also covered, using nodes containing an element and pointer to the next node, chained together and referenced by a head pointer. Operations on linked lists like traversal and insertion are more efficient since elements are not contiguous in memory as with arrays.
The document discusses deleting nodes from a binary search tree (BST). There are three cases to consider when deleting a node: 1) if the node is a leaf, it can be deleted immediately, 2) if the node has one child, its parent pointer is redirected to the child node, 3) if the node has two children, it is replaced with its inorder successor. The algorithm and C++ code for deleting nodes from a BST is presented.
The document discusses converting infix notation to postfix notation. It explains that postfix does not require parentheses and presents an algorithm that uses an operator precedence stack to convert an infix expression to postfix by pushing operators and operands to a stack according to precedence. The algorithm pops operators to add them to the postfix string when an operator with higher precedence is seen.
The document discusses level-order traversal of binary trees. Level-order traversal visits all nodes at each level from left to right before moving to the next level. This can be implemented by using a queue, where the left and right children of each dequeued node are enqueued. The code provided traverses a binary tree using this level-order technique.
The document discusses data structures like stacks and queues. It provides examples of implementing a queue using both a linked list and an array. It describes how a queue is a FIFO structure where elements are inserted at the rear and removed from the front. It also discusses some uses of queues, providing a bank simulation as an example where a queue models customers waiting to be served by tellers.
The document discusses implementing a stack data structure using both an array and linked list. A stack is a last-in, first-out data structure where elements can only be inserted or removed from one end, called the top. The key stack operations of push, pop, top, isEmpty and isFull are described. Implementing a stack with an array allows for constant time operations but has size limitations, while a linked list avoids size limits but has slower insertion and removal.
C++ Please write the whole code that is needed for this assignment- wr.docxBrianGHiNewmanv
Brianca plans to save $5,000, $1,000, and $42,000 a year over the next three years, respectively. How much would you need to deposit in one lump sum today to have the same amount as Brianca three years from now if you both earn 10.9 percent, compounded annually? $36,115 $35,192 $43,282 $41,635 $35,372
.
ItemNodeh include ltiostreamgt include ltstring.pdfacmefit
ItemNode.h:
#include <iostream>
#include <string>
using namespace std;
class ItemNode {
private:
string item;
ItemNode* nextNodeRef;
public:
// Constructor
ItemNode() {
item = "";
nextNodeRef = NULL;
}
// Constructor
ItemNode(string itemInit) {
this->item = itemInit;
this->nextNodeRef = NULL;
}
// Constructor
ItemNode(string itemInit, ItemNode *nextLoc) {
this->item = itemInit;
this->nextNodeRef = nextLoc;
}
// Insert node after this node.
void InsertAfter(ItemNode &nodeLoc) {
ItemNode* tmpNext;
tmpNext = this->nextNodeRef;
this->nextNodeRef = &nodeLoc;
nodeLoc.nextNodeRef = tmpNext;
}
// Define InsertAtEnd() function that inserts a node
// to the end of the linked list
void InsertAtEnd(string item) {
ItemNode* newNode = new ItemNode(item);
if (nextNodeRef == NULL) {
nextNodeRef = newNode;
} else {
ItemNode* current = nextNodeRef;
while (current->nextNodeRef != NULL) {
current = current->nextNodeRef;
}
current->nextNodeRef = newNode;
}
}
// Get location pointed by nextNodeRef
ItemNode* GetNext() {
return this->nextNodeRef;
}
void PrintNodeData() {
cout << this->item << endl;
}
};
int main() {
int numItems;
cin >> numItems;
ItemNode head;
ItemNode* current = &head;
for (int i = 0; i < numItems; i++) {
string item;
cin >> item;
current->InsertAtEnd(item);
current = current->GetNext();
}
current = head.GetNext();
while (current != NULL) {
current->PrintNodeData();
current = current->GetNext();
}
return 0;
}
main.cpp (only for viewing)
#include "ItemNode.h"
int main() {
ItemNode *headNode; // Create intNode objects
ItemNode *currNode;
ItemNode *lastNode;
string item;
int i;
int input;
// Front of nodes list
headNode = new ItemNode();
lastNode = headNode;
cin >> input;
for (i = 0; i < input; i++) {
cin >> item;
currNode = new ItemNode(item);
lastNode->InsertAtEnd(currNode);
lastNode = currNode;
}
// Print linked list
currNode = headNode->GetNext();
while (currNode != NULL) {
currNode->PrintNodeData();
currNode = currNode->GetNext();
}
}
in c++ please. Thank you!
18.18 LAB: Grocery shopping list (linked list: inserting at the end of a list) Given main0, define an
InsertAtEnd() member function in the ItemNode class that adds an element to the end of a linked
list. DO NOT print the dummy head node. Ex. if the input is: begin{tabular}{|l} hline 4 Kale Lettuce
Carrots Peanuts end{tabular} where 4 is the number of items to be inserted; Kale, Lettuce,
Carrots, Peanuts are the names of the items to be added at the end of the list. The output is:.
could you implement this function please, im having issues with it..pdfferoz544
could you implement this function please, im having issues with it.
void makeList (const ListNode::value_type [],const size_t& count)
class ListNode
{
public:
typedef int value_type;
ListNode (value_type d = value_type(), ListNode* n = NULL) { datum = d; next = n; }
//Assessor
value_type getDatum () const { return datum; }
ListNode const* getNext () const { return next; }
//Mutator
void setDatum (const value_type& d) {datum = d; }
ListNode* getNext () { return next; }
void setNext (ListNode* new_link) {next = new_link; }
private:
value_type datum;
ListNode* next;
};
class LinkedList
{
public:
LinkedList ();
virtual ~LinkedList ();
void insertItem (ListNode::value_type);
void makeList (const ListNode::value_type [],const size_t& count);
void deleteList ();
//The following friend function is implemented in lablinklist.cpp
friend std::ostream& operator<<(std::ostream&, const LinkedList&);
private:
ListNode* head;
};
This is the pseudocode, but i still have a hard time undertanding it.
Creating a List (makeList(const ListNode::value_type [],const size_t& count)) This function
receives an array in the order that we want to add it to the linkedlist. Index 0 will be the head
node, index n will be the last node.
First, create a node initialized with a data value and a NULL pointer. Set the \"head\" to point to
the first node. Set up a current-pointer to the first node (or \"head\"). Get a data value for the next
node. While more nodes to add { Create a new node initialized with the data value and a NULL
pointer. Set the current-pointer link member (\"next\") to the new node. Set the current-pointer to
point to the new node. Get a data value for the next node. }
Thanks.
Solution
//linkedList.h
#ifndef LINKEDLIST_H
#define LINKEDLIST_H
#include
#include
class ListNode
{
public:
typedef int value_type;
ListNode(value_type d = value_type(), ListNode* n = NULL) { datum = d; next = n; }
//Assessor
value_type getDatum() const { return datum; }
ListNode const* getNext() const { return next; }
//Mutator
void setDatum(const value_type& d) { datum = d; }
ListNode* getNext() { return next; }
void setNext(ListNode* new_link) { next = new_link; }
private:
value_type datum;
ListNode* next;
};
class LinkedList
{
public:
LinkedList();
virtual ~LinkedList();
void insertItem(ListNode::value_type);
void makeList(const ListNode::value_type[], const size_t& count);
void deleteList();
//The following friend function is implemented in lablinklist.cpp
friend std::ostream& operator<<(std::ostream&, const LinkedList&);
private:
ListNode* head;
};
#endif
-------------------------------------------------------------
//linkedList.cpp
#include \"linkedlist.h\"
LinkedList::LinkedList()
{
head = NULL;
}
LinkedList::~LinkedList()
{
ListNode *tmp = head;
while (tmp != NULL)
{
head = head->getNext();
delete tmp;
tmp = head;
}
}
void LinkedList::insertItem(ListNode::value_type item)
{
ListNode *newNode,*cur = head;
newNode = new ListNode;
newNode->setDatum(item);
newNode->setNext(NULL);.
hi i have to write a java program involving link lists. i have a pro.pdfarchgeetsenterprises
hi i have to write a java program involving link lists. i have a problem with the nodes, as it is
posting errors with the nodes.
please help me with this problem. thank you.
public class LinkLists {
/* only need to store a single pointer to the node at the head
* of the list.
* The pointer is null if the list is empty.
* Also record the size of the list.
*/
protected Node head;
/* invariant: size is the number of nodes in the list pointed to by head */
protected int size;
/* no-arguments default constructor creates an empty list */
public LinkLists() {
head = null; // start with an empty list
size = 0;
}
/* accessor method */
public int size() {
return size;
}
/* value to add to the end of the list
*/
public void add(T value) {
head = addAtEnd(head, value);
size++;
}
/* node of the list to which the value should be added
* value to add to the end of the list
*/
private Node addAtEnd(Node node, T value) {
if (node == null) { // special case
return new Node(value, null);
} else if (node.getNext() == null) { // other special case
node.setNext(new Node(value, null));
} else {
addAtEnd(node.getNext(), value);
}
return node;
}
/* iterative implementation of the same method
* value to add to the end of the list
*/
public void add2(T value) {
if (head == null) {
head = new Node(value, null);
} else {
Node node = head; // guaranteed not to be null initially
while (node.getNext() != null) {
node = node.getNext(); // guaranteed not to be null here
}
// now, node.getNext() is guaranteed to be null
// similar to the second special case in addAtEnd
node.setNext(new Node(value, null));
}
size++;
}
public void remove(int position) throws BadItemCountException {
if ((position < 1) || (position > size)) {
throw new
BadItemCountException(\"invalid position \" + position +
\", only 1..\" + size + \" available\");
}
if (position == 1) {
head = head.getNext();
} else {
Node node = head;
for (int i = 2; i < position; i++) {
node = node.getNext();
}
node.setNext(node.getNext().getNext());
}
size--; // one less item
}
public String toString() {
return toString(head);
}
private String toString(Node node) {
if (node == null) {
return \"\";
} else {
return node.getValue() + \"\ \" + toString(node.getNext());
}
}
public static void main(String[] args) {
/* create two empty lists, make sure they print out correctly */
LinkLists list1 = new LinkLists();
LinkLists list2 = new LinkLists();
System.out.println(\"list1 = \'\" + list1 + \"\', list2 = \'\" + list2 + \"\'\");
System.out.println(\"list1.size() = \" + list1.size() +
\", list2.size() = \" + list2.size());
/* insert some items, keep checking */
list1.add(\"hello\");
list1.add(\"world\");
list2.add(\"foo\");
list2.add(\"bar\");
list2.add(\"baz\");
System.out.println(\"list1 = \'\" + list1 + \"\', list2 = \'\" + list2 + \"\'\");
System.out.println(\"list1.size() = \" + list1.size() +
\", list2.size() = \" + list2.size());
/* remove an item at an invalid position */
boolean caught = false;
try {
list2.remove(4);
} catch .
This assignment and the next (#5) involve design and development of a.pdfEricvtJFraserr
This assignment and the next (#5) involve design and development of a sequential
non contiguous and dynamic datastructure called LinkedList. A linked list object is
a container consisting of connected ListNode objects. As before, we are not going
to use pre-fabricated classes from the c++ library, but construct the LinkedList
ADT from scratch.
The first step is construction and testing of the ListNode class. A ListNode object
contains a data field and a pointer to the next ListNode object (note the recursive
definition).
#This assignment requires you to
1. Read the Assignment 4 Notes
2. Watch the Assignment 4 Support video
3. Implement the following methods of the ListNode class
-custom constructor
-setters for next pointer and data
4. Implement the insert and remove method in the main program
5. Scan the given template to find the above //TODO and implement the code
needed
//TODO in ListNodecpp.h file
public: ListNode(T idata, ListNode<T> * newNext);
public: void setNext(ListNode<T> * newNext);
public: void setData(T newData);
// TODO in main program
void remove(ListNode<int> * &front,int value)
void insert(ListNode<int> * &front,int value)
# The driver is given ListNodeMain.cpp is given to you that does the following
tests
1. Declares a pointer called front to point to a ListNode of datatype integer
2. Constructs four ListNodes with data 1,2,4 and adds them to form a linked
list.
3. Inserts ListNode with data 3 to the list
4. Removes node 1 and adds it back to test removing and adding the first
element
5. Removes node 3 to test removing a middle node
6. Removes node 4 to test removing the last node
7. Attempt to remove a non existent node
8. Remove all existing nodes to empty the list
9. Insert node 4 and then node 1 to test if insertions preserve order
10.Print the list
Main.cpp
#include <iostream>
#include "ListNodecpp.h"
// REMEMBER each ListNode has two parts : a data field
// and an address field. The address is either null or points to the next node
//in the chain
//Requires: integer value for searching, address of front
//Effects: traverses the list node chain starting from front until the end comparing search value
with listnode getData. Returns the original search value if found, if not adds +1 to indicate not
found
//Modifies: Nothing
int search(ListNode<int> * front, int value);
//Requires: integer value for inserting, address of front
//Effects: creates a new ListNode with value and inserts in proper position (increasing order)in
the chain. If chain is empty, adds to the beginning
//Modifies: front, if node is added at the beginning.
//Also changes the next pointer of the previous node to point to the
//newly inserted list node. the next pointer of the newly inserted pointer
//points to what was the next of the previous node.
//This way both previous and current links are adjusted
//******** NOTE the use of & in passing pointer to front as parameter -
// Why do you think this is needed ?**********
void insert(ListNode<int> * &fr.
Here is the editable codeSolutionimport java.util.NoSuchEleme.pdfarrowmobile
Here is the editable code:
Solution
import java.util.NoSuchElementException;
public class DoublyLinkedListImpl {
private Node head;
private Node tail;
private int size;
public DoublyLinkedListImpl() {
size = 0;
}
private class Node {
E element;
Node next;
Node prev;
public Node(E element, Node next, Node prev) {
this.element = element;
this.next = next;
this.prev = prev;
}
}
public int size() { return size; }
public boolean isEmpty() { return size == 0; }
public void addFirst(E element) {
Node tmp = new Node(element, head, null);
if(head != null ) {head.prev = tmp;}
head = tmp;
if(tail == null) { tail = tmp;}
size++;
System.out.println(\"adding: \"+element);
}
/**
* adds element at the end of the linked list
* @param element
*/
public void addLast(E element) {
Node tmp = new Node(element, null, tail);
if(tail != null) {tail.next = tmp;}
tail = tmp;
if(head == null) { head = tmp;}
size++;
System.out.println(\"adding: \"+element);
}
public void iterateForward(){
System.out.println(\"iterating forward..\");
Node tmp = head;
while(tmp != null){
System.out.println(tmp.element);
tmp = tmp.next;
}
}
/**
* this method walks backward through the linked list
*/
public void iterateBackward(){
System.out.println(\"iterating backword..\");
Node tmp = tail;
while(tmp != null){
System.out.println(tmp.element);
tmp = tmp.prev;
}
}
public E removeFirst() {
if (size == 0) throw new NoSuchElementException();
Node tmp = head;
head = head.next;
head.prev = null;
size--;
System.out.println(\"deleted: \"+tmp.element);
return tmp.element;
}
public E removeLast() {
if (size == 0) throw new NoSuchElementException();
Node tmp = tail;
tail = tail.prev;
tail.next = null;
size--;
System.out.println(\"deleted: \"+tmp.element);
return tmp.element;
}
public static void main(String a[]){
DoublyLinkedListImpl dll = new DoublyLinkedListImpl();
dll.addFirst(10);
dll.addFirst(34);
dll.addLast(56);
dll.addLast(364);
dll.iterateForward();
dll.removeFirst();
dll.removeLast();
dll.iterateBackward();
}
}
import java.util.Scanner;
/* Class Node */
class Node
{
protected int data;
protected Node next, prev;
/* Constructor */
public Node()
{
next = null;
prev = null;
data = 0;
}
/* Constructor */
public Node(int d, Node n, Node p)
{
data = d;
next = n;
prev = p;
}
/* Function to set link to next node */
public void setLinkNext(Node n)
{
next = n;
}
/* Function to set link to previous node */
public void setLinkPrev(Node p)
{
prev = p;
}
/* Funtion to get link to next node */
public Node getLinkNext()
{
return next;
}
/* Function to get link to previous node */
public Node getLinkPrev()
{
return prev;
}
/* Function to set data to node */
public void setData(int d)
{
data = d;
}
/* Function to get data from node */
public int getData()
{
return data;
}
}
/* Class linkedList */
class linkedList
{
protected Node start;
protected Node end ;
public int size;
/* Constructor */
public linkedList()
{
start = null;
end = null;
size = 0;
}
/* Function to check if list is empty */
public boolean isE.
This document presents information on doubly linked lists including their representation, initialization, node creation, and various operations like insertion, deletion, and traversal. It discusses inserting and deleting nodes at the beginning or end of the list, as well as inserting before or after a specified node. Code examples are provided for initializing a doubly linked list and performing each operation.
Can you please debug this Thank you in advance! This program is sup.pdfFashionBoutiquedelhi
Can you please debug this? Thank you in advance! This program is supposed to use stacks and
find the paths of an airplane. It should tell you whether or not the plane goes from the requested
city to the requested destination. requestFile.txt contains the requests, flightFile.txt contains the
flights and cityFile.txt contains the city\'s that the airline serves.
My errors: my output is simply \"Hpair does not serve Los Angeles.\" Thats it and it stops.
It should look something like (these are not real values of the file just an example):
\"Request is to fly from cityA to CityB.
Hpair flight from cityA to CityB.
Request is to fly from cityC to cityD.
Sorry, HPAir does not serve City D
Request is to fly from cityE to CityF
Sorry, HPAir does not fly from cityE to CityF\"
**It said to use ispath.cpp but I got confused on how to implement it completely.\"
isPath.cpp
//***I did not include ispath.cpp in my program. Parts of it are in the map.h portion.
main.cpp
#include
#include
#include \"Map.h\"
using namespace std;
int main()
{
Map aMap;
aMap.readFlights();
aMap.verifyRequestedFile();
}
StackInterface.h
#ifndef StackInterface_h
#define StackInterface_h
template
class StackInterface
{
/** Checks if the stack is empty.
@return True if the stack is empty or false if the stack is not.*/
virtual bool isEmpty() const = 0;
/** Adds a new item to the stack
@post newEntry is at the top of the stack
@param newEntry is the object to be added to the stack
@return True if successfully added, otherwise false. */
virtual bool push(const ItemType& newEntry) = 0;
/** Removes item from stack
@post The top item in the stack is removed
@return True if the item was removed, false if it was not. */
virtual bool pop() = 0;
/** Returns the top item in the stack
@pre The stack is not empty
@post The top item in the stack is returned
@return The top of the stack */
virtual ItemType peek() const = 0;
};
#endif /* StackInterface_h */
Node.h
#ifndef node_h
#define node_h
template
class Node {
public:
Node();
Node (const ItemType &anItem);
Node(const ItemType &anItem, Node * nextNodePtr);
void setItem(const ItemType &anItem);
void setNext(Node * nextNodePtr);
ItemType getItem() const;
Node* getNext() const;
private:
ItemType item;
Node* next;
};
template
Node::Node():next(nullptr){}
template
Node::Node(const ItemType &anItem):item(anItem), next(nullptr){}
template
Node::Node(const ItemType &anItem, Node * nextNodePtr):item(anItem), next(nextNodePtr)
{
}
template
void Node::setItem(const ItemType &anItem){
item = anItem;
}
template
void Node::setNext(Node * nextNodePtr) {
next = nextNodePtr;
}
template
ItemType Node::getItem() const {
return item;
}
template
Node* Node::getNext()const{
return next;
}
#endif /* node_h */
LinkedStack.h
#include
#ifndef LinkedStack_h
#define LinkedStack_h
#include \"Node.h\"
#include \"StackInterface.h\"
template
class LinkedStack:public StackInterface{
public:
LinkedStack();
LinkedStack(const LinkedStack &aStack); //space matter?***********
virt.
This C++ code defines a doubly linked list data structure. It includes a node class with data, previous, and next pointers. The doubly linked list class contains functions to add nodes to the beginning or end of the list, add a node after a specified location, delete a node, display all nodes, count the total nodes, and destroy the list. The main function contains a menu to test the doubly linked list functions by adding, deleting, displaying, and counting nodes.
lab08/build.bat
@echo off
cls
set DRIVE_LETTER=%1:
set PATH=%DRIVE_LETTER%\MinGW\bin;%DRIVE_LETTER%\MinGW\msys\1.0\bin;%DRIVE_LETTER%\MinGW\gtkmm3\bin;%DRIVE_LETTER%\MinGW\gtk\bin;c:\Windows;c:\Windows\system32
set PROJECT_PATH=.
make DRIVE_LETTER="%DRIVE_LETTER%" PROJECT_DIR="%PROJECT_PATH%"
lab08/CSC2110/CD.h
#if !defined CD_H
#define CD_H
#include "Song.h"
#include "Text.h"
using CSC2110::String;
#include "ListArray.h"
using CSC2110::ListArray;
namespace CSC2110
{
class CD
{
private:
String* artist;
String* title;
int year;
int rating;
int num_tracks;
ListArray<Song>* songs;
public:
CD(String* artist, String* title, int year, int rating, int num_tracks);
virtual ~CD();
String* getKey();
void addSong(String* title, String* length);
void displayCD();
static ListArray<CD>* readCDs(const char* file_name);
static int compare_items(CD* one, CD* two);
static int compare_keys(String* sk, CD* cd);
static char getRadixChar(CD* cd, int index); //1-based
};
}
#endif
lab08/CSC2110/Double.h
#if !defined (DOUBLE_H)
#define DOUBLE_H
namespace CSC2110
{
class Double
{
private:
double value;
public:
Double(double val);
~Double();
double getValue();
};
}
#endif
lab08/CSC2110/HighPerformanceCounter.h
#if !defined (HIGHPERFORMANCECOUNTER_H)
#define HIGHPERFORMANCECOUNTER_H
namespace CSC2110
{
class HighPerformanceCounter
{
private:
double micro_spt; //micro_seconds per tick
HighPerformanceCounter();
static HighPerformanceCounter* hpc;
static int getTicksPerSecond();
public:
virtual ~HighPerformanceCounter();
static HighPerformanceCounter* getHighPerformanceCounter();
int getCurrentTimeInTicks();
double getTimeDifferenceInMicroSeconds(int start_time, int end_time);
};
}
#endif
lab08/CSC2110/Integer.h
#if !defined (INTEGER_H)
#define INTEGER_H
namespace CSC2110
{
class Integer
{
private:
int value;
public:
Integer(int val);
virtual ~Integer();
int getValue();
};
}
#endif
lab08/CSC2110/Keyboard.h
#if !defined KEYBOARD_H
#define KEYBOARD_H
#include "Text.h"
using CSC2110::String;
#include <string>
using namespace std;
namespace CSC2110
{
class Keyboard
{
private:
Keyboard();
public:
virtual ~Keyboard();
static Keyboard* getKeyboard();
//pre: the string (character literal) that will prompt the user for input
//post: the input read from the keyboard interpreted as an int is returned
int readInt(string prompt);
int getValidatedInt(string prompt, int min, int max);
//pre: the string that will prompt the user for input
//post: the input read from the keyboard interpreted as a double is returned
double readDouble(string prompt);
double getValidatedDouble(string prom ...
So I have this code(StackInAllSocks) and I implemented the method but.pdfaksahnan
So I have this code( StackInAllSocks ) and I implemented the method but I can't seem to figure
out why there isn't anything showing up on the console. It should pop,peek and push b using the
methods from the class called ArrayListTen . The ArrayListTen works fine and compiles the
tested code of Rigth# but for StackInAllSocks it doesn't complete at all. note that file
VodeDodeis not to be changed is just a Node storage area of the array list.
Did I implement the method on StackInAllSocks correctly? if so, should I not use the method
from the ArrayListTen .?
__________________________________________________________________________
: the code is : VodeDodeis
class VodeDode<T> {
private T data;
private VodeDode<T> next;
private VodeDode<T> prev;
public VodeDode(T data) {
this.data = data;
this.next = null;
this.prev = null;}
public T getData() {
return data;}
public void setData(T data) {
this.data = data;}
public VodeDode<T> getNext() {
return this.next;}
public void setNext(VodeDode<T> next) {
this.next = next;}
public VodeDode<T> getPrev() {
return this.prev;}
public void setPrev(VodeDode<T> prev) {
this.prev = prev;}
@Override
public String toString() {
return data.toString();}}
_________________________________________________________________________
CODE that works fine called ArrayListTen:
import java.util.Iterator;
public class ArrayListTen<T> implements Iterable<T> {
private VodeDode<T> head; //beginning of list
private VodeDode<T> tail; //end of list
private int size;
private VodeDode<T> new_item;
public ArrayListTen( ){
this.head = null;
this.tail = null;
this.size = 0;}
public int lenght() {
return size ;}
public T getBegin() {
if (this.head != null) {
return head.getData();}
else { return null;}}
public void addBegin(T value) {
VodeDode<T> newVodeDode =new VodeDode<T>(value);
if (this.head== null) {
head = newVodeDode;
tail =newVodeDode;}
else {VodeDode<T> temp = head;
head = newVodeDode;
head.setNext(temp);}
size++;}
public T removeBegin() {
if(this.head == null) {
return null;}
else {T current = head.getData();
if (tail == head) {
tail = null;
head = null;
} else {
head = head.getNext();
head.setPrev(null);}size--;
return current;}}
public T getEnd() {
if (tail != null) {
return tail.getData();
} else {
return null;}}
public void addEnd(T value) {
VodeDode<T> newVodeDode = new VodeDode<T>(value);
if (this.tail == null) {
head = newVodeDode;
tail = newVodeDode;
} else {
newVodeDode.setPrev(tail);
tail.setNext(newVodeDode);
tail = newVodeDode;}
size++;}
public T removeEnd() {
if(this.tail == null) {
return null;}
else {
T current = tail.getData();//was head.
if (head == tail) {
head = null;
tail = null;
} else {
tail = tail.getPrev();
tail.setNext(null);}
size--;
return current;}}
public T removeBN(T value) {
VodeDode<T> currVodeDode = head;
VodeDode<T> prevVodeDode = null;
while(currVodeDode != null){
if(currVodeDode.getData().equals(value)){
if(prevVodeDode != null){
prevVodeDode.setNext(currVodeDode.getNext());}
else{
head = curr.
Assignment isPage 349-350 #4 and #5 Use the Linked List lab.pdffortmdu
Assignment is:
\"Page 349-350 #4 and #5 Use the \"Linked List lab\" you have been working on in class and add
the two functions the questions are asking you to develop: divideMid and divideAt. Be sure to
include comments Use meaningful identifier names (constants where appropriate) Turn in .cpp
file AND Turn in a \"print-screen\' of your output (press \"print-screen\' on keyboard, then
\'paste\' in MS-Word)\"
How do you solve QUESTION #4 in the book data structures using c++ by D.S. Malik in Visiual
Studios using the linked list below with what is being asked? Please need help
Linked list :
#include
#include
using namespace std;
struct nodeType
{
int info;
nodeType *link;
};
void createList(nodeType*& first, nodeType*& last);
void printList(nodeType*& first);
void insertFront(nodeType*& first);
void insertBack(nodeType*& last);
void deleteFirst(nodeType*& first);
void deleteLast(nodeType*& last, nodeType* first);
int main()
{
nodeType *first, *last;
int num;
createList(first, last);
int choice;
while(true)
{
cout<<\"1. Insert Front.\ 2. Insert Last.\ 3. Delete Front.\ 4. Delete Last.\ 5. Print List.\ 6. Exit.\
\";
cout<<\"Enter your choice: \";
cin>>choice;
switch(choice)
{
case 1: insertFront(first); break;
case 2: insertBack(last); break;
case 3: deleteFirst(first); break;
case 4: deleteLast(last, first); break;
case 5: printList(first); break;
case 6: return 0;
default: cout<<\"Invalid menu option. Try again.\"<>number;
while (number != -999)
{
newNode = new nodeType; // create new node
newNode->info = number;
newNode->link = NULL;
if (first == NULL)
{
first = newNode;
last = newNode;
}
else
{
last->link = newNode;
last = newNode;
}
cout<<\"Enter an integer (-999 to stop): \";
cin>>number;
} // end of while-loop
} // end of build list function
void deleteFirst(nodeType*& first)
{
nodeType *temp;
temp= first;
first= temp->link;
delete temp;
return;
}
void deleteLast(nodeType*& last, nodeType* current)
{
nodeType *temp;
while(current->link != NULL)
{
temp=current;
current=current->link;
}
temp=last;
current->link=NULL;
delete temp;
last = current;
return;
}
void insertFront(nodeType*& front)
{
int num;
cout<<\"\ Enter the number to insert: \";
cin>>num;
nodeType *newNode = new nodeType;
newNode->info=num;
newNode->link= front;
front= newNode;
return;
}
void insertBack(nodeType*& last)
{
int num;
cout<<\"\ Enter the number to insert: \";
cin>>num;
nodeType *newNode = new nodeType;
newNode->info=num;
newNode->link= NULL;
last->link= newNode;
last = newNode;
return;
}
void printList(nodeType*& first)
{
cout<<\"Inside printList...printing linked list...\ \"<info << \" \";
current = current->link;
}
cout<
#include
using namespace std;
struct nodeType
{
int info;
nodeType *link;
};
void createList(nodeType*& first, nodeType*& last);
void printList(nodeType*& first);
void insertFront(nodeType*& first);
void insertBack(nodeType*& last);
void deleteFirst(nodeType*& first);
void deleteLast(nodeType*& last, nodeType* first);
int main()
{
nodeType *firs.
C++: Constructor, Copy Constructor and Assignment operatorJussi Pohjolainen
The document discusses various C++ constructors including default constructors, initialization lists, copy constructors, assignment operators, and destructors. It provides examples of how to properly implement these special member functions to avoid problems like shallow copying and double deletes.
pleaase I want manual solution forData Structures and Algorithm An.pdfwasemanivytreenrco51
pleaase I want manual solution for
Data Structures and Algorithm Analysis in C++, Third Edition
By Clifford A. Shaffer
because my question from this book.page270 ,question 7.4
The implementation for Mergesort given in Section 7.4 takes an array as input and sorts that
array. At the beginning of Section 7.4 there is a simple pseudocode implementation for sorting a
linked list using Mergesort. Implement both a linked list-based version of Mergesort and the
array-based version of Mergesort, and compare and analyze their running times.
Solution
Linked list:
#include
#include
struct node
{
int data;
struct node* next;
};
struct node* SortedMerge(struct node* a, struct node* b);
void FrontBackSplit(struct node* source,
struct node** frontRef, struct node** backRef);
void MergeSort(struct node** headRef)
{
struct node* head = *headRef;
struct node* a;
struct node* b;
if ((head == NULL) || (head->next == NULL))
{
return;
}
FrontBackSplit(head, &a, &b);
MergeSort(&a);
MergeSort(&b);
*headRef = SortedMerge(a, b);
}
struct node* SortedMerge(struct node* a, struct node* b)
{
struct node* result = NULL;
if (a == NULL)
return(b);
else if (b==NULL)
return(a);
if (a->data <= b->data)
{
result = a;
result->next = SortedMerge(a->next, b);
}
else
{
result = b;
result->next = SortedMerge(a, b->next);
}
return(result);
}
void FrontBackSplit(struct node* source,
struct node** frontRef, struct node** backRef)
{
struct node* fast;
struct node* slow;
if (source==NULL || source->next==NULL)
{
*frontRef = source;
*backRef = NULL;
}
else
{
slow = source;
fast = source->next;
while (fast != NULL)
{
fast = fast->next;
if (fast != NULL)
{
slow = slow->next;
fast = fast->next;
}
}
*frontRef = source;
*backRef = slow->next;
slow->next = NULL;
}
}
void printList(struct node *node)
{
while(node!=NULL)
{
printf(\"%d \", node->data);
node = node->next;
}
}
void push(struct node** head_ref, int new_data)
{
struct node* new_node =
(struct node*) malloc(sizeof(struct node));
new_node->data = new_data;
new_node->next = (*head_ref);
(*head_ref) = new_node;
}
int main()
{
struct node* res = NULL;
struct node* a = NULL;
push(&a, 15);
push(&a, 10);
push(&a, 5);
push(&a, 20);
push(&a, 3);
push(&a, 2);
MergeSort(&a);
printf(\"\ Sorted Linked List is: \ \");
printList(a);
getchar();
return 0;
}
Time complexity:o(nlogn)
Array :
#include
#include
void merge(int arr[], int l, int m, int r)
{
int i, j, k;
int n1 = m - l + 1;
int n2 = r - m;
int L[n1], R[n2];
for (i = 0; i < n1; i++)
L[i] = arr[l + i];
for (j = 0; j < n2; j++)
R[j] = arr[m + 1+ j];
i = 0; // Initial index of first subarray
j = 0;
k = l;
while (i < n1 && j < n2)
{
if (L[i] <= R[j])
{
arr[k] = L[i];
i++;
}
else
{
arr[k] = R[j];
j++;
}
k++;
}
while (i < n1)
{
arr[k] = L[i];
i++;
k++;
}
while (j < n2)
{
arr[k] = R[j];
j++;
k++;
}
}
void mergeSort(int arr[], int l, int r)
{
if (l < r)
{
int m = l+(r-l)/2;
// Sort first and second halves
mergeSort(arr, l, m);
mergeSort(arr, m+1, r);
merge(arr, l, m, r);
}
}
void printArray(int A[], i.
How do you stop infinite loop Because I believe that it is making a.pdffeelinggift
How do you stop infinite loop? Because I believe that it is making an infinite circular list.
c++ code:
Here is the list class:
#ifndef LIN_J_LIST
#define LIN_J_LIST
typedef unsigned int uint;
#include
#include
using namespace std;
/**
* a simplified generic singly linked list class to illustrate C++ concepts
* @author Jerry Lin
* @version 2/17/17
*/
template< typename Object >
class List
{
private:
/**
* A class to store data and provide a link to the next node in the list
*/
class Node
{
public:
/**
* The constructor
* @param data the data to be stored in this node
*/
explicit Node( const Object & data )
: data{ data }, next{ nullptr } {}
Object data;
Node * next;
};
public:
/**
* The constructor for an empty list
*/
List()
: size{ 0 }, first{ nullptr }, last{ nullptr } {}
/**
* the copy constructor-creates and copy the list
*/
List( List && rhs ) = delete;
List( const List & rhs )
{
count = 0;
size = 0;
if(rhs.size != 0)
{
push_front(rhs.front());
Node * current = rhs.first;
Node * tempNode = first;
size++;
while(current->next != nullptr)
{
current = current->next;
Node *newNode = new Node(current->data); //transfer the data. basic op.
count++;
tempNode->next = newNode;
last = newNode;
tempNode = tempNode->next;
size++;
}
}
// you document and implement this method
}
/**
* the operator= method-copies the list
*/
List & operator=( List && rhs) = delete;
List & operator=( const List & rhs )
{
count = 0;
size = 0;
if( size != 0 )
{
Node * current = first;
Node * temp;
while( current != nullptr )
{
temp = current;
current = current->next;
delete temp;
}
}
if(rhs.size!= 0)
{
push_front(rhs.front());
Node * current = rhs.first;
Node * tempNode = first; //create a temporary to store
size++;
while(current -> next != nullptr)
{
current = current->next;
Node *newNode = new Node(current->data); //transfer the data. basic op
count++;
tempNode->next = newNode;
last = newNode;
tempNode = tempNode -> next;
size++;
}
}
return *this;
// you document and implement this method
}
/**
* accessor
* @return count
*/
int get_count() const
{
return count;
}
/**
* The destructor that gets rid of everything that\'s in the list and
* resets it to empty. If the list is already empty, do nothing.
*/
~List()
{
if( size != 0 )
{
Node * current = first;
Node * temp;
while( current != nullptr )
{
temp = current;
current = current->next;
delete temp;
}
}
}
/**
* Put a new element onto the beginning of the list
* @param item the data the new element will contain
*/
void push_front( const Object& item )
{
Node * new_node = new Node( item );//basic op.
if(is_empty())
{
last = new_node;
}
else
{
new_node->next = first;
}
first = new_node;
size++;
/* you complete the rest */
}
/**
* Remove the element that\'s at the front of the list. Causes an
* assertion error if the list is empty.
*/
void pop_front()
{
assert( !is_empty() );
Node * temp = first;
if( first == last )
{
first = last = nullptr;
}
else
{
first = first->next;
}
delete temp;
size--;
}
/**
* Accessor to return the da.
Explore the world of C programming assignments with expert guidance and practical tips. Dive into a range of C assignment solutions designed for varying complexity levels. Get insights from industry experts passionate about sharing their C programming knowledge. Discover time-saving techniques to boost productivity and meet assignment deadlines. Access 24/7 customer support and budget-friendly pricing options.
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can you add a delete button and a add button to the below program. j.pdfsales88
The document describes a Java program that implements a linked list of Car objects. It includes classes for the Car object with attributes like make, model, year, and color, and a NuLinkedList class that implements basic linked list functionality for adding, removing, and accessing Car elements. The program reads a file of cars into an ArrayList and provides buttons to navigate between cars, displaying the current car details. The request is to add delete and add buttons to allow removing and adding cars to the linked list from the GUI.
Similar to computer notes - Data Structures - 3 (20)
The document discusses different techniques for improving the efficiency of union-find algorithms, including union-by-size, path compression, and union-by-height. Union-by-size works by making the root of the smaller tree the child of the larger tree during a union operation, keeping tree heights small. Path compression further optimizes find operations by updating the parent pointers along the search path. Together these optimizations allow union-find algorithms to run in almost linear time for practical purposes.
The document discusses AVL trees and balanced binary search trees. It provides the following key points:
1) An AVL tree is a self-balancing binary search tree where the height of the two child subtrees of every node differ by at most one.
2) A balanced binary search tree is one where the height of the left and right subtrees of each node differ by no more than one.
3) Inserting new nodes can cause the tree to become unbalanced if the insertion breaks the height balance property. Rotations may be needed to rebalance the tree.
The document discusses equivalence relations and the union-find algorithm. It defines what makes a binary relation an equivalence relation by having the properties of reflexivity, symmetry, and transitivity. It gives examples like electrical connectivity being an equivalence relation. The union-find algorithm can be used to dynamically determine if elements are in the same equivalence class based on the given relations, by performing find and union operations in time proportional to m+n for m finds and n-1 unions.
Union-find data structures can be used to efficiently generate random mazes. A maze can be represented as a grid of cells where each cell is initially isolated by walls. Removing walls corresponds to union operations, joining the cells' sets. A maze is generated by randomly performing unions until the entrance and exit cells are in the same set, connected by a path through the maze.
The document discusses different types of linked lists, including singly linked lists, doubly linked lists, and circularly linked lists. It provides code examples for implementing linked lists in C++ and compares the time complexity of different linked list operations. It also describes how a circularly linked list can be used to solve the Josephus problem of eliminating people seated in a circle.
The document discusses binary search trees and different ways to traverse them. It explains that traversing a binary search tree can be done in preorder, inorder, or postorder fashion by recursively visiting the left child, then the node, then the right child in different orders. Searching for a value in a balanced binary search tree takes O(log n) time, while searching an unsorted linked list takes O(n) time.
The document discusses deletion in AVL trees and outlines 5 cases to consider when deleting nodes from an AVL tree. It also discusses expression trees and parse trees, providing examples of an expression tree for a mathematical expression and a parse tree for an SQL query. Other uses of binary trees mentioned include their use in compilers for expression trees, parse trees, and abstract syntax trees.
The document discusses various data structures including skip lists, AVL trees, and hashing. It explains that skip lists allow for logarithmic-time operations and are simple to implement. Hashing provides constant-time operations by mapping keys to array indices via a hash function, but collisions must be handled. Common hash functions discussed include summing character codes or converting to a number in a prime base.
The document discusses recursion and different traversal methods for binary trees. It explains how the call stack is used during recursive function calls and shows examples of preorder and inorder recursive tree traversals. It then describes how to perform non-recursive inorder traversal using an explicit stack. Finally, it introduces level-order traversal, which visits all nodes at each level from left to right before proceeding to the next level.
The document describes a simulation of customer transactions at a bank with 4 tellers. It discusses how customers arrive at certain times, are assigned to the shortest teller queue if a teller is available, or must wait in line if all tellers are busy. The simulation proceeds by maintaining a priority queue of upcoming arrival and departure events and processing customers from the queue. Statistics like total wait time are tracked to calculate the average time customers spend at the bank. Code for implementing the simulation with data structures like queues and priority queues is also presented.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
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Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
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One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
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Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
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Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
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Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
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Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
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UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
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What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP