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Linear programming using MATLAB

Ploskas, Nikolaos.

Linear programming using MATLAB

Record Type:	Electronic resources : Monograph/item
Title/Author:	Linear programming using MATLABby Nikolaos Ploskas, Nikolaos Samaras.
Author:	Ploskas, Nikolaos.
other author:	Samaras, Nikolaos.
Published:	Cham :Springer International Publishing :2017.
Description:	xvii, 637 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Linear programming.
Online resource:	http://dx.doi.org/10.1007/978-3-319-65919-0
ISBN:	9783319659190$q(electronic bk.)

Linear programming using MATLAB
Ploskas, Nikolaos.

Linear programming using MATLAB[electronic resource] /by Nikolaos Ploskas, Nikolaos Samaras. - Cham :Springer International Publishing :2017. - xvii, 637 p. :ill. (some col.), digital ;24 cm. - Springer optimization and its applications,v.1271931-6828 ;. - Springer optimization and its applications ;v. 3..

1. Introduction -- 2. Linear Programming Algorithms -- 3. Linear Programming Benchmark and Random Problems -- 4. Presolve Methods -- 5. Scaling Techniques -- 6. Pivoting Rules -- 7. Basis Inverse and Update Methods -- 8. Revised Primal Simplex Algorithm -- 9. Exterior Point Simplex Algorithms -- 10. Interior Point Method -- 11. Sensitivity Analysis -- Appendix: MATLAB's Optimization Toolbox Algorithms -- Appendix: State-of-the-art Linear Programming Solvers;CLP and CPLEX.

ISBN: 9783319659190$q(electronic bk.)

Standard No.: 10.1007/978-3-319-65919-0doiSubjects--Topical Terms:

185299
Linear programming.

LC Class. No.: T57.74

Dewey Class. No.: 519.72

Linear programming using MATLAB
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245 1 0 $a Linear programming using MATLAB $h [electronic resource] / $c by Nikolaos Ploskas, Nikolaos Samaras.
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300 $a xvii, 637 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer optimization and its applications, $x 1931-6828 ; $v v.127
505 0 $a 1. Introduction -- 2. Linear Programming Algorithms -- 3. Linear Programming Benchmark and Random Problems -- 4. Presolve Methods -- 5. Scaling Techniques -- 6. Pivoting Rules -- 7. Basis Inverse and Update Methods -- 8. Revised Primal Simplex Algorithm -- 9. Exterior Point Simplex Algorithms -- 10. Interior Point Method -- 11. Sensitivity Analysis -- Appendix: MATLAB's Optimization Toolbox Algorithms -- Appendix: State-of-the-art Linear Programming Solvers;CLP and CPLEX.
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650 0 $a Mathematical optimization. $3 183292
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