Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.

Optimal Quadratic Programming Algorithms

Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9780387848068
Seiten:
284
Autor:
Zdenek Dostál
Serie:
23, Springer Optimization and Its Applications
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

Quadratic programming (QP) is one advanced mathematical technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. This book presents recently developed algorithms for solving large QP problems and focuses on algorithms which are, in a sense optimal, i.e., they can solve important classes of problems at a cost proportional to the number of unknowns. For each algorithm presented, the book details its classical predecessor, describes its drawbacks, introduces modifications that improve its performance, and demonstrates these improvements through numerical experiments.

This self-contained monograph can serve as an introductory text on quadratic programming for graduate students and researchers. Additionally, since the solution of many nonlinear problems can be reduced to the solution of a sequence of QP problems, it can also be used as a convenient introduction to nonlinear programming.
"Quadratic programming (QP) is one advanced mathematical technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. This book presents recently developed algorithms for solving large QP problems and focuses on algorithms which are, in a sense optimal, i.e., they can solve important classes of problems at a cost proportional to the number of unknowns. For each algorithm presented, the book details its classical predecessor, describes its drawbacks, introduces modifications that improve its performance, and demonstrates these improvements through numerical experiments.
This self-contained monograph can serve as an introductory text on quadratic programming for graduate students and researchers. Additionally, since the solution of many nonlinear problems can be reduced to the solution of a sequence of QP problems, it can also be used as a convenient introduction to nonlinear programming."
Preface.- Part I Background.- 1. Linear Algebra.- 2. Optimization.- Part II Algorithms.- 3. Conjugate Gradients for Unconstrained Minimization.- 4. Equality Constrained Minimization.- 5. Bound Constrained Minimization.- 6. Bound and Equality Constrained Minimization.- Part III Applications to Variational Inequalities.- 7. Solution of a Coercive Variational Inequality by FETI-DP method.- 8. Solution to a Semicoercive Variational Inequality by TFETI Method.- References.- Index.

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.

Google Plus
Powered by Inooga