The Newton-Cauchy Framework - A Unified Approach to Unconstrained Nonlinear Minimization (Paperback, 1994 ed.)

Computational unconstrained nonlinear optimization comes to life from a study of the interplay between the metric-based (Cauchy) and model-based (Newton) points of view. The motivating problem is that of minimizing a convex quadratic function. This research monograph reveals for the first time the essential unity of the subject. It explores the relationships between the main methods, develops the Newton-Cauchy framework and points out its rich wealth of algorithmic implications and basic conceptual methods. The monograph also makes a valueable contribution to unifying the notation and terminology of the subject. It is addressed topractitioners, researchers, instructors, and students and provides a useful and refreshing new perspective on computational nonlinear optimization.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 769
Release date:	February 1994
First published:	1994
Authors:	John L. Nazareth
Dimensions:	233 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	108
Edition:	1994 ed.
ISBN-13:	978-3-540-57671-6
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	3-540-57671-1
Barcode:	9783540576716

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