Numerical engineering optimization
β Scribed by Ochsner A., Makvandi R
- Publisher
- Springer
- Year
- 2020
- Tongue
- English
- Leaves
- 232
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Preface......Page 5
Contents......Page 6
1.1 Optimization Problems......Page 8
1.2 MaximaβA Computer Algebra System......Page 9
References......Page 21
2.1 Golden Section Algorithm......Page 22
2.2 Brute-Force or Exhaustive Search Algorithm......Page 26
2.3 Newton's Method......Page 38
2.4 Supplementary Problems......Page 50
References......Page 52
3.1 The Exterior Penalty Function Method......Page 53
3.2 The Interior Penalty Function Method......Page 74
3.3 Supplementary Problems......Page 88
References......Page 90
4.1 General Introduction to the Unconstrained Multidimensional Optimization Problem......Page 91
4.2 First-Order Methods......Page 98
4.3 Second-Order Methods......Page 105
References......Page 113
5.1 General Introduction to the Constrained Multidimensional Optimization Problem......Page 115
5.2 The Exterior Penalty Function Method......Page 117
5.3 Supplementary Problems......Page 122
References......Page 132
6.1 Problems from Chapter2ζ₯ζ ζΈη eflinkchap:Unconstsps1D22......Page 133
6.2 Problems from Chapter 3ζ₯ζ ζΈη eflinkchap:Constsps1D33......Page 143
6.3 Problems from Chapter 4ζ₯ζ ζΈη eflinkchap:UnconstrainedspsFspsv44......Page 158
6.4 Problems from Chapter 5ζ₯ζ ζΈη eflinkchap:ConstrainedspsFspsv55......Page 159
References......Page 197
7 Maxima Source Codes......Page 198
Index......Page 231
π SIMILAR VOLUMES
Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate sol
Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate sol
Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For th
"Numerical Optimization" presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. Draw