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List of illustrations; Preface;
1. Introduction;
2. Problems, algorithms and solutions;
3. Transformation of problems;
Part I: Linear simultaneous equations;
4. Case studies;
5. Algorithms;
Part II: Non-linear simultaneous equations;
6. Case Studies;
7. Algorithms;
8. Solution of the case studies;
Part III: Unconstrained optimization;
9. Case studies;
10 Algorithms;
11. Solution of the case studies;
Part IV: Equality-constrained optimization;
12. Case studies;
13. Algorithms for linear constraints;
14. Algorithms for non-linear constraints;
Part V: Inequality-constrained optimization;
15. Case studies;
16. Algorithms for non-negativity constraints;
17. Algorithms for linear constraints;
18. Solution of the linearly constrained case studies;
19. Algorithms for non-linear constraints;
20. Solution of the non-linearly constrained case studies; References; Index; Appendices.
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Add Applied Optimization: Formulation and Algorithms for Engineering Systems, The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical pr, Applied Optimization: Formulation and Algorithms for Engineering Systems to the inventory that you are selling on WonderClubX
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Add Applied Optimization: Formulation and Algorithms for Engineering Systems, The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical pr, Applied Optimization: Formulation and Algorithms for Engineering Systems to your collection on WonderClub |