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

Ever wondered how computers multiply huge numbers with hundreds or even thousands of digits? The process may seem simple, but ...

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 ...

Programming and prejudice: Computer scientists discover how to find bias in algorithms Date: August 14, 2015 Source: University of Utah Summary: Software may appear to operate without bias because ...

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

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

A short demo program Kevin Banks wrote to enable you to test-drive the Goertzel algorithm. This is Listing 1 in Kevin Banks' “The Goertzel Algorithm,” first printed in September 2002 issue of Embedded ...