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Progress in Mathematical Programming

Overview of attention for book
Cover of 'Progress in Mathematical Programming'

Table of Contents

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    Book Overview
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    Chapter 1 An Algorithm for Solving Linear Programming Problems in O ( n 3 L ) Operations
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    Chapter 2 A Primal-Dual Interior Point Algorithm for Linear Programming
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    Chapter 3 An Extension of Karmarkar’s Algorithm and the Trust Region Method for Quadratic Programming
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    Chapter 4 Approximate Projections in a Projective Method for the Linear Feasibility Problem
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    Chapter 5 A Locally Weil-Behaved Potential Function and a Simple Newton-Type Method for Finding the Center of a Polytope
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    Chapter 6 A Note on Comparing Simplex and Interior Methods for Linear Programming
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    Chapter 7 Pricing Criteria in Linear Programming
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    Chapter 8 Pathways to the Optimal Set in Linear Programming
Attention for Chapter 8: Pathways to the Optimal Set in Linear Programming
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