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Can I read The Newton-cauchy Framework: A Unified Approach To Unconstrained Nonlinear Minimization (lecture Notes In Computer Science) on EtoBox?
The Newton-cauchy Framework: A Unified Approach To Unconstrained Nonlinear Minimization (lecture Notes In Computer Science) by J. L. Nazareth (eds.) is a nonfiction available to read on EtoBox.
What is The Newton-cauchy Framework: A Unified Approach To Unconstrained Nonlinear Minimization (lecture Notes In Computer Science) about?
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. Erscheinungsdatum: 28.02.1994
Who reads The Newton-cauchy Framework: A Unified Approach To Unconstrained Nonlinear Minimization (lecture Notes In Computer Science)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- J. L. Nazareth (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 1994
- Language
- EN
- ISBN
- 9783540576716
- Category
- nonfiction
- Subjects
- Computer Science, Technology, Mathematics
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