Algorithms for Continuous Optimization
Springer (Verlag)
978-94-010-6652-5 (ISBN)
1. General Optimality Conditions via a Separation Scheme.- 2. Linear Equations in Optimisation.- 3. Generalized and Sparse Least Squares Problems.- 4. Algorithms for Solving Nonlinear Systems of Equations.- 5. An Overview of Unconstrained Optimization.- 6. Nonquadratic Model Methods in Unconstrained Optimization.- 7. Algorithms for General Constrained Nonlinear Optimization.- 8. Exact Penalty Methods.- 9. Stable Barrier-Projection and Barrier-Newton Methods for Linear and Nonlinear Programming.- 10. Large-scale Nonlinear Constrained Optimization: a Current Survey.- 11. ABS Methods for Nonlinear Optimization.- 12. A Condensed Introduction to Bundle Methods in Nonsmooth Optimization.- 13. Computational Methods for Linear Programming.- 14. Infeasible Interior Point Methods for Solving Linear Programs.- 15. Algorithms for Linear Complementarity Problems.- 16. A Homework Exercise — the “Big M” Problem.- 17. Deterministic Global Optimization.- 18. On Automatic Differentiation and Continuous Optimization.- 19. Neural Networks and Unconstrained Optimization.- 20. Parallel Nonlinear Optimization: Limitations, Challenges and Opportunities.
Reihe/Serie | NATO Science Series C ; 434 |
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Zusatzinfo | XV, 565 p. |
Verlagsort | Dordrecht |
Sprache | englisch |
Maße | 160 x 240 mm |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Mathematik / Informatik ► Mathematik ► Analysis | |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
ISBN-10 | 94-010-6652-3 / 9401066523 |
ISBN-13 | 978-94-010-6652-5 / 9789401066525 |
Zustand | Neuware |
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