The Newton-Cauchy Framework A Unified Approach to Unconstrained Nonlinear Minimization |
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Author:
| Nazareth, John Lawrence |
Series title: | Lecture Notes in Computer Science Ser. |
ISBN: | 978-3-540-48310-6 |
Publication Date: | Jan 2006 |
Publisher: | Springer
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Book Format: | Ebook |
List Price: | USD $89.99 |
Book Description:
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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...
More DescriptionComputational 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.