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Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
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Catalogue Information
Field name
Details
Dewey Class
519.6 (DDC 22)
Title
Practical Mathematical Optimization (EB) : An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms / by Jan A. Snyman
Author
Snyman, Jan A.
Other name(s)
SpringerLink (Online service)
Publication
Boston, MA : Springer , 2005
Physical Details
: v.: digital
Series
Applied Optimization
1384-6485 ; 97
ISBN
9780387243498
Summary Note
Preface Table of Notation Chapter 1. Introduction Chapter 2. Line Search Descent Methods for Unconstrained Minimization Chapter 3. Standard Methods for Constrained Optimization Chapter 4. New Gradient-Based Trajectory and Approximation Methods Chapter 5. Example Problems Chapter 6. Some Theorems Chapter 7. The Simplex Method for Linear Programming Problems Bibliography Index:
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Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/b105200
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Subject References:
Algorithms
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Linear programming
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Mathematical optimization
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Numerical Analysis
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Operations research
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Programming (Mathematics)
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Authors:
Snyman, Jan A.
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Corporate Authors:
SpringerLink (Online service)
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Series:
Applied Optimization
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Classification:
519.6 (DDC 22)
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