filmov
tv
Activity Selection Problem using Greedy Method | DSA Interview Questions | Code with Scaler
Показать описание
In this video, we will discuss the Activity Selection problem to enhance your preparations for DSA interviews. The Activity Selection Problem is an optimization problem that deals with the selection of non-conflicting activities that need to be executed by a single person or machine in a given time frame.
Each activity is marked by a start and finish time. The greedy algorithm/method technique is used for finding the solution since this is an optimization problem.
The greedy approach can be used to find the solution since we want to maximize the count of activities that can be executed. This approach will greedily choose an activity with the earliest finish time at every step, thus yielding an optimal solution. This problem is often asked in exams and interviews and is also in Greeks for Greeks and Leetcode.
Problem Statement:
Let's consider that you have n activities with their start and finish times, the objective is to find a solution set having a maximum number of non-conflicting activities that can be executed in a single time frame, assuming that only one person or machine is available for execution.
#activityselection #geeksforgeeks #dsa #codewithscaler #greedyalgorithm #datastructures #dsainterviewquestions #greedymethord #algorithm #geeksforgeeksgate #coding #leetcode #competitiveprogramming #dynamicprogramming #leetcodequestions
Do Subscribe🧡so you don't miss the other essential videos, these can indeed be gamechanger for your career and placement interviews!
Useful Social Links:
Join our community with over 100k techies and ask all your doubts, give feedback and interact with our Instructors. ⬇️
About Code with Scaler:
Building the world's largest Tech community. Learn from the Best instructors and get the skills that you always wanted. Our mission is to provide free education and create impact by providing value. Topics like JavaScript, Software Engineering, Computer Science, Web Development, Data Structures, System Design, Android, Algorithms, and many more will be covered through various Tutorials, Courses Live Masterclasses, and Bootcamps that will be happening every week for everyone from Beginners to Advanced level nerds.
Each activity is marked by a start and finish time. The greedy algorithm/method technique is used for finding the solution since this is an optimization problem.
The greedy approach can be used to find the solution since we want to maximize the count of activities that can be executed. This approach will greedily choose an activity with the earliest finish time at every step, thus yielding an optimal solution. This problem is often asked in exams and interviews and is also in Greeks for Greeks and Leetcode.
Problem Statement:
Let's consider that you have n activities with their start and finish times, the objective is to find a solution set having a maximum number of non-conflicting activities that can be executed in a single time frame, assuming that only one person or machine is available for execution.
#activityselection #geeksforgeeks #dsa #codewithscaler #greedyalgorithm #datastructures #dsainterviewquestions #greedymethord #algorithm #geeksforgeeksgate #coding #leetcode #competitiveprogramming #dynamicprogramming #leetcodequestions
Do Subscribe🧡so you don't miss the other essential videos, these can indeed be gamechanger for your career and placement interviews!
Useful Social Links:
Join our community with over 100k techies and ask all your doubts, give feedback and interact with our Instructors. ⬇️
About Code with Scaler:
Building the world's largest Tech community. Learn from the Best instructors and get the skills that you always wanted. Our mission is to provide free education and create impact by providing value. Topics like JavaScript, Software Engineering, Computer Science, Web Development, Data Structures, System Design, Android, Algorithms, and many more will be covered through various Tutorials, Courses Live Masterclasses, and Bootcamps that will be happening every week for everyone from Beginners to Advanced level nerds.
0:05:00
Activity Selection Problem | Greedy Algorithm | Algorithm Design & Analysis
0:12:26
Greedy Algorithm: Activity Selection
0:07:11
Greedy Algorithm | Activity Selection Problem - step by step guide
0:13:12
Activity Selection Problem using Greedy Method | Maximum Disjoint Intervals | DSA-One Course #96
0:08:38
Activity Selection Problem - Greedy Algorithm | C++ Placement Course | Lecture 33.3
0:12:41
Activity Selection Problem using Greedy Method | DSA Interview Questions | Code with Scaler
0:15:24
Activity Selection problem using Greedy method
0:56:07
Video 1 for Lecture 7 Greedy Algorithms: Activity-selection Problem
0:00:59
Activity Selection Problem | Greedy Approach #shorts
0:16:10
Activity Selection Problem (Using Greedy Method)
1:00:57
Greedy algorithms (part 2): Activity-selection problem (recursive implementation) and Huffman codes
0:09:21
activity selection problem using greedy method | activity selection problem in hindi |
0:06:48
Activity Selection problem greedy algorithm
0:13:57
CSC 323, Fall 2020: 4.3 Greedy Strategy: Activity Selection Problem
![[Algorithms] Recursive greedy](https://i.ytimg.com/vi/alybycFq2mU/hqdefault.jpg)
0:08:50
[Algorithms] Recursive greedy algorithm for the activity selection problem
0:19:37
Activity Selection Problem | Greedy Approach | DAA |
0:32:11
Greedy algorithms (part 1): Activity-selection problem
1:03:38
Greedy algorithms (part 1): Activity selection problem
0:04:24
Activity selection problem (Greedy method)
0:12:29
Activity Selection Problem
0:11:38
Greedy Algorithm introduction and activity selection Problem
0:18:51
Activity Selection Problem (Greedy approach)
0:09:48
Activity selection problem (Greedy Algorithms)
0:09:54
Activity Selection Problem - Algorithm - Online Class - JnU - (Bangla)
Комментарии