<p>One has to make everything as simple as possible but, never more simple. Albert Einstein Discovery consists of seeing what everyΒ body has seen and thinking what nobody has thought. Albert S. ent_Gyorgy; The primary goal of this book is to provide an introduction to the theory of Interior Point M
Progress in Mathematical Programming: Interior-Point and Related Methods
β Scribed by Clovis C. Gonzaga (auth.), Nimrod Megiddo (eds.)
- Publisher
- Springer-Verlag New York
- Year
- 1989
- Tongue
- English
- Leaves
- 163
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The starting point of this volume was a conference entitled "Progress in Mathematical Programming", held at the Asilomar Conference Center in Pacific Grove, California, March 1-4, 1987. The main topic of the conference was developments in the theory and practice of linear programming since Karmarka's algorithm. Presentations included new algorithms, new analysis of algorithms, reports on computational experience, and some other topics related to the practice of mathematical programming.
β¦ Table of Contents
Front Matter....Pages i-x
An Algorithm for Solving Linear Programming Problems in O ( n 3 L ) Operations....Pages 1-28
A Primal-Dual Interior Point Algorithm for Linear Programming....Pages 29-47
An Extension of Karmarkarβs Algorithm and the Trust Region Method for Quadratic Programming....Pages 49-63
Approximate Projections in a Projective Method for the Linear Feasibility Problem....Pages 65-78
A Locally Weil-Behaved Potential Function and a Simple Newton-Type Method for Finding the Center of a Polytope....Pages 79-90
A Note on Comparing Simplex and Interior Methods for Linear Programming....Pages 91-103
Pricing Criteria in Linear Programming....Pages 105-129
Pathways to the Optimal Set in Linear Programming....Pages 131-158
β¦ Subjects
Optimization; Software Engineering/Programming and Operating Systems; Applications of Mathematics; Programming Techniques; Algorithms
π SIMILAR VOLUMES
I am a practicing aerospace engineer and I found this book to be useless to me. It has virtually no examples. Yes, it has tons of mathematical derivations, proofs, theorms, etc. But it is useless for the type of Interior-Point problems that I need to solve on a daily basis.