This paper examines a linear programming (LP) formulation of the network utility maximization problem. Such an LP formulation is inspired by a convex relaxation technique in the study of nonconvex ...

It uses two phase simplex method to solve linear programming problems. - sharabhs/LPS-Linear-Programming-Solver The LPS is a package is used for solving a linear programming problem, it is capable of ...

Some adopt the traditional excel solver approach while some use modeling tactics to unravel complex linear programming problems. So, What Is The Best Software For Linear Programming? We’ll try to ...

Fuzzy linear programming problem with fuzzy coefficients was formulated by Negoita [7] and are called robust programming. Dubois and Prade investigated optimization with linear fuzzy constraints [8] .

We propose a new mixed integer linear programming (MILP) formulation of the sparse signal recovery problem in compressed sensing (CS). This formulation is obtained by introduction of an auxiliary ...

Abstract. For the transportation problem, Sharma and Sharma [] have given a very computationally efficient heuristic (runs in O(c*n 2) time) to give very good dual solution to transportation ...

The computational protein design problem or the side-chain positioning problem is a central part in computational methods for predicting protein structure and designing protein sequences. However, the ...

Natural language decisions often involve assigning values to sets of variables, representing low level decisions and context dependent disambiguation. In most cases there are complex relationships ...