Newton-Cauchy Framework A Unified Approach to Unconstrained Nonlinear Minimization

Author/creator Nazareth, J.L. Author
Format Electronic
Publication InfoNew York : Springer
Descriptionxii, 101 p. 23.500 x 015.500 cm.
Supplemental ContentFull text available from Springer Books
Supplemental ContentFull text available from SpringerLINK Lecture Notes in Computer Science

SeriesLecture Notes in Computer Science Ser.
Summary Annotation Computational unconstrained nonlinear optimization comes tolife from a study of the interplay between the metric-based(Cauchy) and model-based (Newton) points of view. Themotivating problem is that of minimizing a convex quadraticfunction. This research monograph reveals for the first timethe essential unity of the subject. It explores therelationships between the main methods, develops theNewton-Cauchy framework and points out its rich wealth ofalgorithmic implications and basic conceptual methods. Themonograph also makes a valueable contribution to unifyingthe notation and terminology of the subject. It is addressedtopractitioners, researchers, instructors, and students andprovides a useful and refreshing new perspective oncomputational nonlinear optimization.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9783540576716
ISBN3540576711 (Trade Paper) Active Record
Standard identifier# 9783540576716
Stock number3540576711 00024965

Availability

Library Location Call Number Status Item Actions
Electronic Resources ✔ Available