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Life Skills for Everyday Success ~xRay Pixy

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Life skills are the basic abilities we need to handle daily challenges and live a healthy, balanced life. They help us think clearly, manage our feelings, make good decisions, solve problems, and build good relationships with others. The World Health Organization (WHO) highlights 10 important life skills: 1.) Thinking skills: decision-making, problem-solving, creative thinking, critical thinking 2.) Social skills: communication, empathy, interpersonal skills 3.) Emotional skills: self-awareness, coping with emotions, coping with stress Life skills are the tools that make us stronger, wiser, and calmer in real life — at home, in school, at work, and in the community :) Life Skills for Everyday Success ~xRay Pixy https://youtu.be/AMsUfKRl4kw Video Chapters: Life Skills 00:00 Introduction 01:07 Life Skills 09:42 Real Life Challenge 13:44 Task For You #LifeSkills #SuccessTools #StressFreeLiving #algorithm #optimization #research #happylearning #algorithms #meta #optimizationtechniques #swa...
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Objective Function Evaluation | Greedy Method | Knapsack Problem Example...

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Knapsack Problem using Greedy Method


Algorithm Design Techniques
  • Divide and Conquer
  • Greedy Method
  • Dynamic Programming
  • Back Tracing
  • Branch and Bound
Divide and Conquer: Many algorithms are recursive in structure. To solve any problem, they call themselves recursively again and again [one or more times]. Three steps are followed by divide and conquer algorithms.

1.) Divide the problem into the number of sub-problems.
2.) Conquer the sub-problems by solving them recursively.
3.) Combine the solution to the sub-problems into the solution for the original problem.

The greedy method is the Straight design technique. It can be applied to a wide variety of problems. Obtain a subset that satisfies the same constraints.  Feasible Solution: If any subset satisfies these constraints. 
Our GOAL: Find a feasible solution that either Maximize or Minimize the given Objective Function. A feasible solution that does this is known as OPTIMAL SOLUTION.  A feasible Solution is any subset that satisfies these constraints.

Greedy Method Example : KNAPSACK PROBLEM
SUPPOSE: We have 
        n  = Objects and a Knapsack.
𝑤_𝑖 = Object i has weight 
 m = Knapsack Capacity

IF a fraction 𝑥_𝑖, of object i is placed into the knapsack. 0 ≤ 𝑥_𝑖 ≤ 1 than Profit Earned.
Objective: Obtain filling of Knapsack and Gain maximum profit.


n = 3;                         //Objects
m = 20;                                 //Knapsack Capacity
𝑤1,𝑤2,𝑤3 = 18, 15,10; //Objects Weight
𝑃1,𝑃2,𝑃3 = 25, 24, 15; //Profits

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