It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

Basic Concepts in Algorithms focuses on paradigms and methods combining basic programming constructs as building blocks and shows their usefulness in the derivation of algorithms.

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

In 7 weeks time you will learn all the basic algorithms for programming a self-driving car. The prerequisites are… nothing? He says some programming experience would be nice – the coursework is uses ...

A 2-qubit chip put online will allow anyone with a web browser to practise quantum programming and run basic algorithms in the nascent quantum cloud ...

Goal programming is a very powerful technique for solving multiple objective optimisation problems. It has been successfully applied to numerous diverse real life problems. In this paper a Taboo ...