E-Book, Englisch, 504 Seiten, eBook
Reihe: Universitext
Bonnans / Gilbert / Lemarechal Numerical Optimization
2. Auflage 2006
ISBN: 978-3-540-35447-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Theoretical and Practical Aspects
E-Book, Englisch, 504 Seiten, eBook
Reihe: Universitext
ISBN: 978-3-540-35447-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It covers fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems. This new edition of Numerical Optimization contains computational exercises in the form of case studies which help understanding optimization methods beyond their theoretical description when coming to actual implementation.
Zielgruppe
Graduate
Autoren/Hrsg.
Weitere Infos & Material
Unconstrained Problems.- General Introduction.- Basic Methods.- Line-Searches.- Newtonian Methods.- Conjugate Gradient.- Special Methods.- A Case Study: Seismic Reection Tomography.- Nonsmooth Optimization.- to Nonsmooth Optimization.- Some Methods in Nonsmooth Optimization.- Bundle Methods. The Quest for Descent.- Applications of Nonsmooth Optimization.- Computational Exercises.- Newton's Methods in Constrained Optimization.- Background.- Local Methods for Problems with Equality Constraints.- Local Methods for Problems with Equality and InequalityConstraints.- Exact Penalization.- Globalization by Line-Search.- Quasi-Newton Versions.- Interior-Point Algorithms for Linear and QuadraticOptimization.- Linearly Constrained Optimization and SimplexAlgorithm.- Linear Monotone Complementarity and Associated Vector Fields.- Predictor-Corrector Algorithms.- Non-Feasible Algorithms.- Self-Duality.- One-Step Methods.- Complexity of Linear Optimization Problems with Integer Data.- Karmarkar's Algorithm.




