Introduction to Nonlinear Optimization
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Published By Society For Industrial And Applied Mathematics

9781611973648, 9781611973655

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Chapter 11: The KKT Conditions

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch11 ◽

2014 ◽

pp. 207-235

Keyword(s):

Kkt Conditions

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Chapter 1: Mathematical Preliminaries

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch1 ◽

2014 ◽

pp. 1-11

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Chapter 6: Convex Sets

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch6 ◽

2014 ◽

pp. 97-115

Keyword(s):

Convex Sets

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Chapter 4: The Gradient Method

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch4 ◽

2014 ◽

pp. 49-81

Keyword(s):

Gradient Method

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Chapter 9: Optimization over a Convex Set

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch9 ◽

2014 ◽

pp. 169-190

Keyword(s):

Convex Set

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Chapter 10: Optimality Conditions for Linearly Constrained Problems

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch10 ◽

2014 ◽

pp. 191-206

Keyword(s):

Optimality Conditions ◽

Constrained Problems ◽

Linearly Constrained ◽

Linearly Constrained Problems

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Chapter 2: Optimality Conditions for Unconstrained Optimization

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch2 ◽

2014 ◽

pp. 13-36

Keyword(s):

Optimality Conditions ◽

Unconstrained Optimization

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Chapter 3: Least Squares

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch3 ◽

2014 ◽

pp. 37-48

Keyword(s):

Least Squares

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Chapter 5: Newton's Method

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch5 ◽

2014 ◽

pp. 83-95

Keyword(s):

Newton’S Method ◽

Newton's Method

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Chapter 12: Duality

Introduction to Nonlinear Optimization ◽

10.1137/1.9781611973655.ch12 ◽

2014 ◽

pp. 237-274

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