On Generic Quadratic Penalty Embeddings for Nonlinear Optimization Problems
Author: Walter Gómez Bofill
Publisher:
Published: 1997
Total Pages: 26
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Walter Gómez Bofill
Publisher:
Published: 1997
Total Pages: 26
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 2003
Total Pages: 226
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1992
Total Pages: 41
ISBN-13:
DOWNLOAD EBOOKAuthor: Jürgen Guddat
Publisher:
Published: 1998
Total Pages: 27
ISBN-13:
DOWNLOAD EBOOKAuthor: Ulrich Tulowitzki
Publisher:
Published: 1984
Total Pages: 95
ISBN-13:
DOWNLOAD EBOOKAuthor: John T. Betts
Publisher: SIAM
Published: 2010-01-01
Total Pages: 442
ISBN-13: 0898716888
DOWNLOAD EBOOKA focused presentation of how sparse optimization methods can be used to solve optimal control and estimation problems.
Author: Stephen P. Boyd
Publisher: Cambridge University Press
Published: 2004-03-08
Total Pages: 744
ISBN-13: 9780521833783
DOWNLOAD EBOOKConvex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Author: Ding-Zhu Du
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 277
ISBN-13: 1475757956
DOWNLOAD EBOOKThis book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in global convergence, the Powell conjecture, semidefinite programming, and relaxation techniques for designs of approximation solutions of combinatorial optimization problems.
Author: Yurii Nesterov
Publisher: SIAM
Published: 1994-01-01
Total Pages: 414
ISBN-13: 9781611970791
DOWNLOAD EBOOKSpecialists working in the areas of optimization, mathematical programming, or control theory will find this book invaluable for studying interior-point methods for linear and quadratic programming, polynomial-time methods for nonlinear convex programming, and efficient computational methods for control problems and variational inequalities. A background in linear algebra and mathematical programming is necessary to understand the book. The detailed proofs and lack of "numerical examples" might suggest that the book is of limited value to the reader interested in the practical aspects of convex optimization, but nothing could be further from the truth. An entire chapter is devoted to potential reduction methods precisely because of their great efficiency in practice.