Methodically presents all components of the simplex-type methods Enables readers to experiment with MATLAB(R) codes that are able to solve large-scale benchmark linear programs Contains 11 presolve techniques, 11 scaling techniques, 6 pivoting rules, and 4 basis inverse and update methods
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Methodically presents all components of the simplex-type methods Enables readers to experiment with MATLAB(R) codes that are able to solve large-scale benchmark linear programs Contains 11 presolve techniques, 11 scaling techniques, 6 pivoting rules, and 4 basis inverse and update methods
Read Less
Add this copy of Linear Programming Using MatlabŪ (Springer Optimization to cart. $221.01, new condition, Sold by Just one more Chapter rated 4.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2018 by Springer.
