Automatic Differentiation in MATLAB Using ADMAT with Applications
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Published By Society For Industrial And Applied Mathematics

9781611974355, 9781611974362

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Chapter 4: Structure

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.ch4 ◽

2016 ◽

pp. 45-62

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Chapter 8: A Template for Structured Problems

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.ch8 ◽

2016 ◽

pp. 83-87

Keyword(s):

Structured Problems

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Chapter 9: R&D Directions

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.ch9 ◽

2016 ◽

pp. 89-92

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Chapter 6: Combining C/Fortran with ADMAT

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.ch6 ◽

2016 ◽

pp. 71-74

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Back Matter

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.bm ◽

2016 ◽

pp. 99-105

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Chapter 5: Newton's Method and Optimization

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.ch5 ◽

2016 ◽

pp. 63-70

Keyword(s):

Newton’S Method ◽

Newton's Method

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Chapter 3: Using ADMAT with the MATLAB Optimization Toolbox

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.ch3 ◽

2016 ◽

pp. 33-43

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Chapter 1: Fundamentals of Automatic Differentiation and the Use of ADMAT

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.ch1 ◽

2016 ◽

pp. 1-14

Keyword(s):

Automatic Differentiation

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Chapter 7: AD for Inverse Problems with an Application to Computational Finance

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.ch7 ◽

2016 ◽

pp. 75-82

Keyword(s):

Inverse Problems ◽

Computational Finance

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Front Matter

Automatic Differentiation in MATLAB Using ADMAT with Applications ◽

10.1137/1.9781611974362.fm ◽

2016 ◽

pp. i-xi

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