Differentiable optimization and equation solving
a treatise on algorithmic science and the Karmarkar revolution
By J. L. Nazareth
"Differentiable optimization and equation solving" is published by Springer in 2003 - New York, it has 256 pages and the language of the book is English.
“Differentiable optimization and equation solving” Metadata:
- Title: ➤ Differentiable optimization and equation solving
- Author: J. L. Nazareth
- Language: English
- Number of Pages: 256
- Publisher: Springer
- Publish Date: 2003
- Publish Location: New York
“Differentiable optimization and equation solving” Subjects and Themes:
- Subjects: ➤ Mathematical optimization - Algorithms - Programming (Mathematics) - Algorithmes - Programmation (Mathématiques) - Optimaliseren - Analyse (wiskunde) - Optimisation mathématique - Algorithmus - Numerische Mathematik - Mathematische programmering - Lineare Optimierung - MATHEMATICS - Optimization
Edition Specifications:
- Pagination: xvi, 256 p. ;
Edition Identifiers:
- The Open Library ID: OL15986307M - OL2778136W
- Online Computer Library Center (OCLC) ID: 50280135
- Library of Congress Control Number (LCCN): 2002030238
- ISBN-13: 9780387955728
- ISBN-10: 0387955720
- All ISBNs: 0387955720 - 9780387955728
AI-generated Review of “Differentiable optimization and equation solving”:
"Differentiable optimization and equation solving" Description:
The Open Library:
"This book gives an overview of a resulting, dramatic reorganization that has occurred in one of these areas of mathematical programming and numerical computation: algorithmic differentiable optimization and equation solving, or more simply, algorithmic differentiable programming. The author provides a unified perspective and readable commentary on Karmarkar's algorithmic revolution, with special emphasis placed on the problems that form its foundation, namely, unconstrained minimization, solving nonlinear equations, unidimensional programming, and linear programming. The specific work discussed here derives mainly from the author's research in these areas during the post-Karmarkar period and is aimed at researchers in optimization and advanced graduate students. The reader is assumed to be familiar with advanced calculus, numerical analysis, and the fundamentals of computer science."--Book jacket.
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