This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...

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) .

"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 ...

The algorithm presented here overcomes all of these shortcomings. Most significantly, it exhibits only a linear growth in the solution times based on the number of connections between nodes.

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 ...

Dynamic Programming Algorithms in Computational Biology Publication Trend The graph below shows the total number of publications each year in Dynamic Programming Algorithms in Computational Biology.