The 0-1 Knapsack problem, which is, for a thief, to pick those items that have as much total value as possible while not exceeding the knapsack’s weight limit, using dynamic programming. In this ...

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical ...

10. Appendix: some linear program solvers and MATLAB codes 10.1 Some linear program solvers There are many solvers available for linear optimization. Most of these codes offer linear programming ...

Zhang, Y. (1996) Solving Large-Scale Linear Programs by Interior-Point Methods under the Matlab Environment, Tech. rep., Department of Mathematics and Statistics, University of Maryland, Baltimore ...

In this paper, we compare and discuss benchmarks of common linear algebra matrix computations using Matlab and scientific python (SciPy). The benchmarks presented here are from the user-standpoint ...

Y. Zhang, “Solving Large-Scale Linear Programs by Interior-Point Methods under the MATLAB Environment,” Technical Report TR96-01, Department of Mathematics and Statistics, University of Maryland, ...

The case study consists of the electrification of a rural house located in the State of Veracruz, Mexico. The problem was solved through the development of a linear programming model in MATLAB, ...

Abstract. In this paper, we study two-stage stochastic linear programming (SLP) problems with fixed recourse. The problem is often large scale as the objective function involves an expectation over a ...