Biedl showed in that many problems which are generally NP-hard, such as the Clique, Coloring and Maximum Independent Set problems, can be solved in polynomial time when circumscribed to perfect graphs ...

##Introduction This package is used for solving a linear programming problem, it is capable of handling of minimization was well as maximization problems. The package contains a command line solver ...

A method is described for converting a boolean expression to a disjunctive normal equivalent (two level OR-AND circuit) which is minimal under some criterion presented in advance, as for example, the ...

We show how the simplex algorithm can be tailored to the linear programming relaxation of pairwise energy minimization with binary variables. A special structure formed by basic and nonbasic variables ...

The SimplexMethod package provides an efficient implementation of the Simplex Algorithm for solving linear programming (LP) problems. It supports both maximization and minimization of objective ...

To solve an Integer Programming problem, we can use the Branch and Bound algorithm: # IP: a minimization integer program with constraints and objective function cost def branch_and_bound(IP): 1. Push ...

Markov random fields with higher order potentials have emerged as a powerful model for several problems in computer vision. In order to facilitate their use, we propose a new representation for higher ...

The Minimization of Open Stacks Problem (MOSP) is a Pattern Sequencing Problem that often arises in industry. Besides the MOSP, there are also other related Pattern Sequencing Problems of similar ...