Padberg | Linear Optimization and Extensions | Buch | 978-3-642-08511-6 | sack.de

Buch, Englisch, Band 12, 501 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 791 g

Reihe: Algorithms and Combinatorics

Padberg

Linear Optimization and Extensions

Buch, Englisch, Band 12, 501 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 791 g

Reihe: Algorithms and Combinatorics

ISBN: 978-3-642-08511-6
Verlag: Springer


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 "Schönheitsfehler" 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.
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Graduate


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Weitere Infos & Material


The Linear Programming Problem.- Basic Concepts.- Five Preliminaries.- Simplex Algorithms.- Primal-Dual Pairs.- Analytical Geometry.- Projective Algorithms.- Ellipsoid Algorithms.- Combinatorial Optimization: An Introduction.


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