Practical Mathematical Optimization

Jan A Snyman () and Daniel N Wilke ()
Additional contact information
Jan A Snyman: University of Pretoria
Daniel N Wilke: University of Pretoria

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2018
Edition: 2nd ed. 2018
ISBN: 978-3-319-77586-9
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Citations: View citations in EconPapers (3)

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Chapters in this book:

Ch Chapter 1 INTRODUCTION

Jan A. Snyman and Daniel N. Wilke

Ch Chapter 2 LINE SEARCH DESCENT METHODS FOR UNCONSTRAINED MINIMIZATION

Jan A. Snyman and Daniel N. Wilke

Ch Chapter 3 STANDARD METHODS FOR CONSTRAINED OPTIMIZATION

Jan A. Snyman and Daniel N. Wilke

Ch Chapter 4 BASIC EXAMPLE PROBLEMS

Jan A. Snyman and Daniel N. Wilke

Ch Chapter 5 SOME BASIC OPTIMIZATION THEOREMS

Jan A. Snyman and Daniel N. Wilke

Ch Chapter 6 NEW GRADIENT-BASED TRAJECTORY AND APPROXIMATION METHODS

Jan A. Snyman and Daniel N. Wilke

Ch Chapter 7 SURROGATE MODELS

Jan A. Snyman and Daniel N. Wilke

Ch Chapter 8 GRADIENT-ONLY SOLUTION STRATEGIES

Jan A. Snyman and Daniel N. Wilke

Ch Chapter 9 PRACTICAL COMPUTATIONAL OPTIMIZATION USING PYTHON

Jan A. Snyman and Daniel N. Wilke

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DOI: 10.1007/978-3-319-77586-9

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