Algorithm Basic

Learn how to implement Genetic Algorithn to solve real-world combinatorial optimization problems using Matlab

Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems.

Study these machine learning/optimization algorithms in continuous problems and the Travelling Salesperson Problem (TSP)

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps.

Ace your next C++/Java coding interview by mastering data structures and algorithm. Solve important Leetcode problems.

MATLAB programming basics and GA implementation to solve constrained optimization problems in the field of engineering

Ace your next C++ coding interview by mastering data structures and algorithm. Solve important leetcode problems.