The document describes a program for creating and traversing a binary tree data structure in C. It defines node and tree pointer structures, functions for creating nodes, building an empty tree, checking if a tree is empty, adding nodes, and traversing the tree using preorder, inorder, and postorder traversal algorithms. The main function demonstrates building a sample tree and calling the traversal functions to output the nodes in each ordering.
Random speed program in CPP
This program is calculating the random speed explicitly and implementing the concept of matrix.
programminghomeworkhelp.com is the leading online solution provider for C++ Programming assignments. If you are struggling with your scoring in C++ Programming Assignments, Homework or Projects then email your requirements at info@programminghomeworkhelp.com and we will ensure excellent grades. Email your C++ assignment to info@programminghomeworkhelp.com and distress yourself from the complex C++ Programming Assignments.
Random speed program in CPP
This program is calculating the random speed explicitly and implementing the concept of matrix.
programminghomeworkhelp.com is the leading online solution provider for C++ Programming assignments. If you are struggling with your scoring in C++ Programming Assignments, Homework or Projects then email your requirements at info@programminghomeworkhelp.com and we will ensure excellent grades. Email your C++ assignment to info@programminghomeworkhelp.com and distress yourself from the complex C++ Programming Assignments.
In a perfect world, all of the data underlying your web app is accurate, complete, and error-free. But in the real world, we sometimes need to “fix” production data. This talk is about how to update live data as safely and quickly as possible.
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.
In a perfect world, all of the data underlying your web app is accurate, complete, and error-free. But in the real world, we sometimes need to “fix” production data. This talk is about how to update live data as safely and quickly as possible.
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.
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:.
This presentations gives an introduction to the data structure linked-lists. I discuss the implementation of header-based linked-lists in C. The presentation runs through the code and provides the visualization of the code w.r.t pointers.
To create a node for a binary search tree (BTNode, ) and to create a .pdfbhim1213
To create a node for a binary search tree (BTNode, ) and to create a binary search tree of
comparable objects (Tree BTNode BTNode -data:E -left: BTNode -right: BTNode +BTNode
(newData:E, newLeft: BTNode, newRight: BTNode) +getData():E +getLeft():BTNode
+getRight():BTNode +getRightMostData():E +inOrderPrint():void +removeRightmost():
BTNode +setData(newData:E):void +setLeft(newleft: BTNode):void +setRight(newRight:
BTNode):void needed for remove needed for remove Tree for Lab 7 Tree -root: 8TNode -
numltems:int +Tree() +add(element:E):void +remove(element:E):boolean + remove
+size():int + printTree():void
Solution
//BTNode.java
public class BTNode
{
private E data;
private BTNode left;
private BTNode right;
public BTNode(E newData, BTNode newLeft, BTNode newRight)
{
data = newData;
left = newLeft;
right = newRight;
}//end constructor
/**
* Returns the data
* @return The data
*/
public E getData()
{
return data;
}//end getData
/**
* Returns the left link
* @return the left link
*/
public BTNode getLeft()
{
return left;
}//end getLeft
/**
* Returns the right link
* @return the right link
*/
public BTNode getRight()
{
return right;
}//end getRight
/**
* Prints the tree in order from left to right.
*/
public void inOrderPrint()
{
if (left != null){
left.inOrderPrint();
}//end left
System.out.println(data);
if(right != null){
right.inOrderPrint();
}//end right
}//end inOrderPrint
/**
* Sets the data in the node
* @param newData The new data to be passed
*/
public void setData(E newData)
{
data = newData;
}//end setData
/**
* Sets a new link to left
* @param newLeft the new link to go left
*/
public void setLeft(BTNode newLeft)
{
left = newLeft;
}//end setLeft
/**
* Sets a new link to the right
* @param newRight the new link to the right
*/
public void setRight(BTNode newRight)
{
right = newRight;
}//end setRight
public E getRightMostData()
{
if(right == null){
return data;
} else {
return right.getRightMostData();
}//end right == null if-else
}//end getRightMostData
public BTNode removeRightmost()
{
if (right == null){
return left;
} else {
right = right.removeRightmost();
return this;
}//end if right == null if=-else
}//end removeRightMost
}//end BTNode
=====================================================================
==
//Tree.java
public class Tree>
{
private BTNode root;
private int numItems;
/**
* No-arg constructor
*/
public Tree()
{
root = null;
numItems = 0;
}//end constructor
public void add(E element)
{
if (root == null) {
root = new BTNode(element, null, null);
}else{
BTNode cursor = root;
boolean done = false;
while(!done){
if (element.compareTo(cursor.getData()) <= 0){//cursor.getData().compareTo(element) > 0){
if (cursor.getLeft() == null) {
cursor.setLeft(new BTNode(element,null,null));
done = true;
} else {
cursor = cursor.getLeft();
} //end left is null if-else
}else{
if(cursor.getRight() == null){
cursor.setRight(new BTNode(element, null, null));
done = true;
}else{
cursor = cursor.getRight();
}//end cursor.getRight if-else
}/.
In C++ I need help with this method that Im trying to write fillLi.pdffantoosh1
In C++ I need help with this method that I'm trying to write: fillListFromFile( ) : void -- this
method will add elements to the list from a file called linkedListData1.txt HINT: this is where
you will keep track of the number of elements in the list
I have all of the other methods, but I'm stuck on this one and I've added it as the last method in
the application. The code I have so far is below.
.cpp file:
.h file:
main:
#include
#include
#include
#include "Node.h"
using namespace std;
void displayList(Node*);
void insertFront(Node** head, int value);
void insertBack(Node** ptrToHead, int value);
void insertAfter(Node* previous, int value);
void deleteAtN(Node** ptrToHead, int n);
void deleteNode(Node** ptrToHead, int searchVal);
void clearList(Node**);
bool searchVal(Node** head, int value);
int countFrequencyOf(Node** ptrTohead, int value);
int size(Node** ptrTohead);
void displayFromFrontToN(Node** ptrToHead, int n);
void displayFromNToEnd(Node** ptrToHead, int n);
void insertInOrder(Node** head, Node* ptrToHead);
void displayInRows(Node** ptrToHead);
int main()
{
Node* node1 = new Node();
node1->setValue(10);
Node* node2 = new Node();
node2->setValue(20);
Node* node3 = new Node();
node3->setValue(30);
node1->next = node2;
node2->next = node3;
Node* head = node1;
displayList(head);
insertFront(&head, 5);
displayList(head);
insertBack(&head, 50);
displayList(head);
insertBack(&head, 60);
displayList(head);
insertAfter(node2, 25);
displayList(head);
deleteAtN(&head, 2);
displayList(head);
deleteNode(&head, 50);
displayList(head);
clearList(&head);
displayList(head);
insertFront(&head, 5);
insertFront(&head, 10);
insertFront(&head, 20);
insertBack(&head, 50);
searchVal(&head, 50);
displayList(head);
countFrequencyOf(&head, 25);
displayList(head);
insertBack(&head, 25);
insertFront(&head, 25);
countFrequencyOf(&head, 25);
displayList(head);
size(&head);
cout << "add one item to list" << endl;
insertBack(&head, 25);
size(&head);
displayList(head);
cout << "Display From Front To N" << endl;
displayFromFrontToN(&head, 4);
cout << "Display From N To End" << endl;
displayFromNToEnd(&head, 3);
cout << "Display In Rows" << endl;
displayInRows(&head);
insertFront(&head, 12);
insertFront(&head, 17);
insertFront(&head, 22);
insertBack(&head, 58);
cout << "Display In Rows" << endl;
displayInRows(&head);//call displayInRows()
return 0;
}//end main()
void displayList(Node* ptr) {
if (ptr == nullptr)
cout << "empty list" << endl;
else {
while (ptr != nullptr) {
cout << ptr->getValue() << endl;
ptr = ptr->next;
}
}
cout << "---------------------------" << endl;
}//end displayList()
void insertFront(Node** head, int value) {
Node* newNode = new Node();
newNode->setValue(value);
//cout<< newNode->getValue() << endl;
newNode->next = *head;
*head = newNode;
}
void insertBack(Node** ptrToHead, int value) {
Node* newNode = new Node();
newNode->setValue(value);
newNode->next = nullptr;
if (*ptrToHead == nullptr)
{
*ptrToHead = newNode;
}//end if
else
{
Node* last .
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.