It is easy to see how a program flows. For example, where does following one path, as opposed to another, take the program? Flowcharts follow an international standard - it is easy for any flowchart ...

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

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

This is a preview. Log in through your library . Abstract The main result of this paper is a group theoretic algorithm (GTIP2) for the integer programming problem. This algorithm is an extension of an ...

This paper studies the close relation between the Gass-Saaty parametric programming algorithm and the 'primal-dual' procedures recently exploited by Dantzig, Ford, and Fulkerson. It is shown that the ...