Practical Mathematical Optimization - Springer Optimization and Its Applications
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Published By Springer International Publishing

9783319775852, 9783319775869

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PRACTICAL COMPUTATIONAL OPTIMIZATION USING PYTHON

Practical Mathematical Optimization - Springer Optimization and Its Applications ◽

10.1007/978-3-319-77586-9_9 ◽

2018 ◽

pp. 311-340

Author(s):

Jan A. Snyman ◽

Daniel N. Wilke

Keyword(s):

Computational Optimization

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BASIC EXAMPLE PROBLEMS

Practical Mathematical Optimization - Springer Optimization and Its Applications ◽

10.1007/978-3-319-77586-9_4 ◽

2018 ◽

pp. 113-167

Author(s):

Jan A. Snyman ◽

Daniel N. Wilke

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GRADIENT-ONLY SOLUTION STRATEGIES

Practical Mathematical Optimization - Springer Optimization and Its Applications ◽

10.1007/978-3-319-77586-9_8 ◽

2018 ◽

pp. 273-310

Author(s):

Jan A. Snyman ◽

Daniel N. Wilke

Keyword(s):

Solution Strategies

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SURROGATE MODELS

Practical Mathematical Optimization - Springer Optimization and Its Applications ◽

10.1007/978-3-319-77586-9_7 ◽

2018 ◽

pp. 251-271

Author(s):

Jan A. Snyman ◽

Daniel N. Wilke

Keyword(s):

Surrogate Models

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SOME BASIC OPTIMIZATION THEOREMS

Practical Mathematical Optimization - Springer Optimization and Its Applications ◽

10.1007/978-3-319-77586-9_5 ◽

2018 ◽

pp. 169-193 ◽

Cited By ~ 3

Author(s):

Jan A. Snyman ◽

Daniel N. Wilke

Keyword(s):

Optimization Theorems ◽

Basic Optimization

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LINE SEARCH DESCENT METHODS FOR UNCONSTRAINED MINIMIZATION

Practical Mathematical Optimization - Springer Optimization and Its Applications ◽

10.1007/978-3-319-77586-9_2 ◽

2018 ◽

pp. 41-69

Author(s):

Jan A. Snyman ◽

Daniel N. Wilke

Keyword(s):

Line Search ◽

Unconstrained Minimization ◽

Descent Methods

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STANDARD METHODS FOR CONSTRAINED OPTIMIZATION

Practical Mathematical Optimization - Springer Optimization and Its Applications ◽

10.1007/978-3-319-77586-9_3 ◽

2018 ◽

pp. 71-112 ◽

Cited By ~ 1

Author(s):

Jan A. Snyman ◽

Daniel N. Wilke

Keyword(s):

Constrained Optimization ◽

Standard Methods

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INTRODUCTION

Practical Mathematical Optimization - Springer Optimization and Its Applications ◽

10.1007/978-3-319-77586-9_1 ◽

2018 ◽

pp. 3-40

Author(s):

Jan A. Snyman ◽

Daniel N. Wilke

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NEW GRADIENT-BASED TRAJECTORY AND APPROXIMATION METHODS

Practical Mathematical Optimization - Springer Optimization and Its Applications ◽

10.1007/978-3-319-77586-9_6 ◽

2018 ◽

pp. 197-250 ◽

Cited By ~ 1

Author(s):

Jan A. Snyman ◽

Daniel N. Wilke

Keyword(s):

Approximation Methods ◽

Gradient Based

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Practical Mathematical Optimization - Springer Optimization and Its ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

PRACTICAL COMPUTATIONAL OPTIMIZATION USING PYTHON

BASIC EXAMPLE PROBLEMS

GRADIENT-ONLY SOLUTION STRATEGIES

SURROGATE MODELS

SOME BASIC OPTIMIZATION THEOREMS

LINE SEARCH DESCENT METHODS FOR UNCONSTRAINED MINIMIZATION

STANDARD METHODS FOR CONSTRAINED OPTIMIZATION

INTRODUCTION

NEW GRADIENT-BASED TRAJECTORY AND APPROXIMATION METHODS

Practical Mathematical Optimization - Springer Optimization and Its Applications
Latest Publications