The document discusses various concepts related to arrays in C/C++ including:
- What an array is and its key properties like contiguous memory locations and common data type
- Different types of arrays like single dimensional and multi dimensional
- How to declare, initialize and access array elements
- Passing arrays to functions
- Searching and sorting arrays
- Common array operations like insertion and deletion
2D array in C++ language ,define the concept of c++ Two-Dimensional array .with example .and also Accessing Array Components concept.and Processing Two-Dimensional Arrays.
2D array in C++ language ,define the concept of c++ Two-Dimensional array .with example .and also Accessing Array Components concept.and Processing Two-Dimensional Arrays.
This presentation is all about various built in
datastructures which we have in python.
List
Dictionary
Tuple
Set
and various methods present in each data structure
Array
Introduction
One-dimensional array
Multidimensional array
Advantage of Array
Write a C program using arrays that produces the multiplication of two matrices.
Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
This presentation is all about various built in
datastructures which we have in python.
List
Dictionary
Tuple
Set
and various methods present in each data structure
Array
Introduction
One-dimensional array
Multidimensional array
Advantage of Array
Write a C program using arrays that produces the multiplication of two matrices.
Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding on Data Structures needed to understand the complexity of enterprise level applications and need of algorithms, and data structures.
Scala is a general purpose programming language designed to express common programming patterns in a concise, elegant, and type-safe way. It smoothly integrates features of object-oriented and functional languages, enabling Java and other programmers to be more productive." This session is an introduction of Scala for Java developers.
Presentation & Fetured Video Included.
An Introduction to Part of C++ STL for OI. Introduced the common use of STL algorithms and containers, especially those are helpful to OI.
Also with some examples.
(Parent reference for BST) Redefine TreeNode by adding a reference to.pdfarihantelehyb
(Parent reference for BST) Redefine TreeNode by adding a reference to a node\'s parent, as
shown below\': Reimplement the insert and delete methods in the BST class to update the parent
for each node in the tree. Add the following new method in BST:/** Returns the node for the
specified element. * Returns null if the element is not in the tree. */private TreeNode getNode(E
element)/** Returns true if the node for the element is a leaf */private boolean isLeaf(E
element)/** Returns the path of elements from the specified element * to the root in an array
list. */public ArrayList getPath(E e) Write a test program that prompts the user to enter 10
integers, adds them to the tree, deletes the first integer from the tree, and displays the paths for
all leaf nodes. Here is a sample run:
Solution
#include
#include
void swap(char *x, char *y)
{
char temp;
temp = *x;
*x = *y;
*y = temp;
void permute(char *a, int l, int r)
{
int i;
if (l == r)
printf(\"%s\ \", a);
else
{
for (i = l; i <= r; i++)
{
swap((a+l), (a+i));
permute(a, l+1, r);
swap((a+l), (a+i)); //backtrack
}
}
}
int main()
{
char str[] = \"ABC\";
int n = strlen(str);
permute(str, 0, n-1);
return 0;
}
part ii radix sort:
c++
#include
using namespace std;
int getMax(int arr[], int n)
{
int mx = arr[0];
for (int i = 1; i < n; i++)
if (arr[i] > mx)
mx = arr[i];
return main()
void countSort(int arr[], int n, int exp
for (i = 0; i < n; i++)
count[ (arr[i]/exp)%10 ]++;
for (i = 1; i < 10; i++)
count[i] += count[i - 1];
for (i = n - 1; i >= 0; i--)
{
output[count[ (arr[i]/exp)%10 ] - 1] = arr[i];
count[ (arr[i]/exp)%10 ]--;
}
for (i = 0; i < n; i++)
arr[i] = output[i];
}
adixsort(int arr[], int n)
{
int m = getMax(arr, n);
for (int exp = 1; m/exp > 0; exp *= 10)
countSort(arr, n, exp);
}
void print(int arr[], int n)
{
for (int i = 0; i < n; i++)
cout << arr[i] << \" \";
}
int main()
{
int arr[] = {170, 45, 75, 90, 802, 24, 2, 66};
int n = sizeof(arr)/sizeof(arr[0]);
radixsort(arr, n);
print(arr, n);
return 0;
}
java:
import java.io.*;
import java.util.*;
class Radix {
static int getMax(int arr[], int n)
{
int mx = arr[0];
for (int i = 1; i < n; i++)
if (arr[i] > mx)
mx = arr[i];
return mx;
}
static void countSort(int arr[], int n, int exp)
{
int output[] = new int[n]; // output array
int i;
int count[] = new int[10];
Arrays.fill(count,0);
for (i = 0; i < n; i++)
count[ (arr[i]/exp)%10 ]++;
for (i = 1; i < 10; i++)
count[i] += count[i - 1];
for (i = n - 1; i >= 0; i--)
{
output[count[ (arr[i]/exp)%10 ] - 1] = arr[i];
count[ (arr[i]/exp)%10 ]--;
}
for (i = 0; i < n; i++)
arr[i] = output[i];
}
static void radixsort(int arr[], int n)
{
int m = getMax(arr, n);
for (int exp = 1; m/exp > 0; exp *= 10)
countSort(arr, n, exp);
}
static void print(int arr[], int n)
{
for (int i=0; i
#include
void swap(char *x, char *y)
{
char temp;
temp = *x;
*x = *y;
*y = temp;
void permute(char *a, int l, int r)
{
int i;
if (l == r)
printf(\"%s\ \", a);
else
{
for (i = l; i <= r; i++)
{
swap((a+l), (a+i));
permute(a, l+1, .
C++ Searching & Sorting5. Sort the following list using the select.pdfRahul04August
C++ Searching & Sorting
5. Sort the following list using the selection sort algorithm. Show the list after each iteration of
the outerforloop.
36, 55, 17, 35, 63, 85, 12, 48, 3, 66
6. Consider the following list: 5, 18, 21, 10, 55, 20
The first three keys are in order. To move 10 to its proper position using the insertion sort as
described in this chapter, exactly how many key comparisons are executed?
7. Consider the following list: 7, 28, 31, 40, 5, 20
The first four keys are in order. To move 5 to its proper position using the insertion sort as
described in this chapter, exactly how many key comparisons are executed?
8. Consider the following list: 28, 18, 21, 10, 25, 30, 12, 71, 32, 58, 15
This list is to be sorted using the insertion sort algorithm. Show the resulting list after six
passes of the sorting phase – that is, after six iterations of the for loop.
9. Perform the insertion sort algorithm using the following list of keys: 18, 8, 11, 9, 15, 20, 32,
61, 22, 48, 75, 83, 35, 3
Show the list after each iteration. Exactly how many key comparisons are executed to sort this
list using insertion sort?
10. a. The performance of bubble sort can be improved if we stop the sorting process as soon as
we find that in an iteration, no swapping of elements takes place. Write a function that
implements bubble sort algorithm using this fact.
b. Using the algorithm that you designed in part (a), find the number of iterations that are needed
to sort the list: 65, 14, 52, 43, 75, 25, 80, 90, 95.
11. Suppose that L is a sorted list of 4096 elements. What is the maximum number of
comparisons made by binary search to determine whether an item is in L?
12. Suppose that the elements of a list are in descending order, and they need to be put in
ascending order. Write a C++ function that takes as input an array of items in descending order
and the number of elements in the array. The function must not incorporate any sorting
algorithms, that is, no item comparisons should take place.
Solution
# include
# include
# include
#include
#include
#include
#include
// Function related to sorting in class sorting
class sorting
{
int array[50],array1[50],final[100],i,n,m,j;
public:
// Function to read an array
void read();
// Function to read arrays for merge sort
void read_mer();
// Function to display an array
void display();
// Function to perform bubble sort
void bub_sort();
// Function to perform selection sort
void Sel_sort();
// Function to perform insertion sort
void Ins_sort();
// Function to perform quick sort
void Qui_sort();
// Function to perform heap sort
void Heap_sort();
// Function to build a heap
void heap(int array[], int n);
// Function to interchange the value of root node with a
// child node in heap sort
void below_heap(int array[], int first, int last);
// Function to perform merges sort
void Mer_sort();
// Function to perform shell sort
void Shell_sort();
// Function to split the array into two halves during quick sort
void partition(int arra.
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 ...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
![WHAT IS AN ARRAY ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)