Buch, Englisch, 722 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1273 g
Reihe: Texts in Computer Science
Algorithms and Engineering Applications
Buch, Englisch, 722 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1273 g
Reihe: Texts in Computer Science
ISBN: 978-1-0716-0841-8
Verlag: Springer US
This textbook provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes it suitable for use in one or two semesters of an advanced undergraduate course or a first-year graduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field.
In this second edition the authors have added sections on recent innovations, techniques, and methodologies.Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
The Optimization Problem.- Basic Principles.- General Properties of Algorithms.- One-Dimensional Optimization.- Basic Multidimensional Gradient Methods.- Conjugate-Direction Methods.- Quasi-Newton Methods.- Minimax Methods.- Applications of Unconstrained Optimization.- Fundamentals of Constrained Optimization.- Linear Programming Part I: The Simplex Method.- Linear Programming Part II: Interior-Point Methods.- Quadratic and Convex Programming.- Semidefinite and Second-Order Cone Programming.- General Nonlinear Optimization Problems.- Applications of Constrained Optimization.