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Chapter 1. Introduction -- Chapter 2. The Simplex Method -- Chapter 3. Degeneracy -- Chapter 4. Efficiency of the Simplex Method -- Chapter 5. Duality Theory -- Chapter 6. The Simplex Method in Matrix Notational -- Chapter 7. Sensitivity and Parametric Analyses -- Chapter 8. Implementation...
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Some Basic Concepts -- Vectors and Matrices -- Square Matrices and Determinants -- Inverse Matrix -- Systems of Linear Equations -- Linear Spaces -- Euclidean Spaces -- Linear Transformations -- Eigenvectors and Eigenvalues -- Linear Model of Production in a Classical Setting -- Linear...
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This Fourth Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with a substantial treatment of linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex...
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