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Practical Mathematical Optimization : An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms

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Cover of 'Practical Mathematical Optimization : An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Line Search Descent Methods for Unconstrained Minimization
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    Chapter 3 Standard Methods for Constrained Optimization
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    Chapter 4 New Gradient-Based Trajectory and Approximation Methods
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    Chapter 5 Example Problems
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    Chapter 6 Some Theorems
Attention for Chapter 2: Line Search Descent Methods for Unconstrained Minimization
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