Algorithms are now responsible for about 70 per cent of all trades in U.S. equities. They execute trades at speeds and volumes that were, until recently, simply unimaginable.

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

"Programming and prejudice: Computer scientists discover how to find bias in algorithms." ScienceDaily. ScienceDaily, 14 August 2015. <www.sciencedaily.com / releases / 2015 / 08 / 150814193120.htm>.

This paper presents the results of experimentation on the development of an efficient branch-and-bound algorithm for the solution of zero-one linear mixed integer programming problems. An implicit ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

Introduction to theory of algorithms guided by basic Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic toolkit for the design and analysis of algorithms, and an ...

Programming smart molecules: Machine-learning algorithms could make chemical reactions intelligent Date: December 12, 2013 Source: Harvard University Summary: Computer scientists have shown that ...