<p>Books on a technical topic - like linear programming - without exercises ignore the principal beneficiary of the endeavor of writing a book, namely the student - who learns best by doing course. Books with exercises - if they are challenging or at least to some extent so exercises, of - need a so
Linear Optimization and Extensions
β Scribed by Manfred Padberg (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1999
- Tongue
- English
- Leaves
- 521
- Series
- Algorithms and Combinatorics 12
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
I was pleasantly surprised when I was asked by Springer-Verlag to prepare a second edition of this volume on Linear Optimization and Extensions, which - not exactly contrary to my personal expectations - has apparently been accepted reasonably weIl by the global optimization community. My objective in putting this book together was originally - and still is - to detail the major algorithmic ideas in linear optimization that have evolved in the past fifty years or so and that have changed the historical optimization "landscape" in substantial ways - both theoretically and computationally. While I may have overlooked the importance of some very recent developments - the work by Farid Alizadeh which generalizes linear programming to "sem i-definite" programming is perhaps a candidate for one of my omissions - I think that major new breakthraughs on those two fronts that interest me - theory and computation - have not occurred since this book was published originally. As a consequence I have restricted myself to a thorough re-working of the original manuscript with the goal of making it more readable. Of course, I have taken this opportunity to correct a few "SchΓΆnheitsfehler" of the first edition and to add some illustrations. The index to this volume has been extended substantially - to permit a hurried reader a quicker glance at the wealth of topics that were covered nevertheless already in the first edition. As was the case with the first edition, Dr.
β¦ Table of Contents
Front Matter....Pages I-XXI
Introduction....Pages 1-24
The Linear Programming Problem....Pages 25-32
Basic Concepts....Pages 33-42
Five Preliminaries....Pages 43-48
Simplex Algorithms....Pages 49-86
Primal-Dual Pairs....Pages 87-120
Analytical Geometry....Pages 121-238
Projective Algorithms....Pages 239-308
Ellipsoid Algorithms....Pages 309-386
Combinatorial Optimization: An Introduction....Pages 387-422
Back Matter....Pages 423-503
β¦ Subjects
Combinatorics; Operation Research/Decision Theory; Economic Theory; Calculus of Variations and Optimal Control; Optimization; Linear and Multilinear Algebras, Matrix Theory
π SIMILAR VOLUMES
Books on a technical topic - like linear programming - without exercises ignore the principal beneficiary of the endeavor of writing a book, namely the student - who learns best by doing course. Books with exercises - if they are challenging or at least to some extent so exercises, of - need a solut
Books on a technical topic - like linear programming - without exercises ignore the principal beneficiary of the endeavor of writing a book, namely the student - who learns best by doing course. Books with exercises - if they are challenging or at least to some extent so exercises, of - need a solut
<p>Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In additio