Numerical Optimization with Computational Errors
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portes grátis
Numerical Optimization with Computational Errors
Zaslavski, Alexander J.
Springer International Publishing AG
05/2018
304
Mole
Inglês
9783319809175
15 a 20 dias
4803
Descrição não disponível.
1. Introduction.- 2. Subgradient Projection Algorithm.- 3. The Mirror Descent Algorithm.- 4. Gradient Algorithm with a Smooth Objective Function.- 5. An Extension of the Gradient Algorithm.- 6. Weiszfeld's Method.- 7. The Extragradient Method for Convex Optimization.- 8. A Projected Subgradient Method for Nonsmooth Problems.- 9. Proximal Point Method in Hilbert Spaces.- 10. Proximal Point Methods in Metric Spaces.- 11. Maximal Monotone Operators and the Proximal Point Algorithm.- 12. The Extragradient Method for Solving Variational Inequalities.- 13. A Common Solution of a Family of Variational Inequalities.- 14. Continuous Subgradient Method.- 15. Penalty Methods.- 16. Newton's method.- References.- Index.
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nonlinear programming;mathematical programming;proximal point methods;extragradient methods;continuous subgradient method
1. Introduction.- 2. Subgradient Projection Algorithm.- 3. The Mirror Descent Algorithm.- 4. Gradient Algorithm with a Smooth Objective Function.- 5. An Extension of the Gradient Algorithm.- 6. Weiszfeld's Method.- 7. The Extragradient Method for Convex Optimization.- 8. A Projected Subgradient Method for Nonsmooth Problems.- 9. Proximal Point Method in Hilbert Spaces.- 10. Proximal Point Methods in Metric Spaces.- 11. Maximal Monotone Operators and the Proximal Point Algorithm.- 12. The Extragradient Method for Solving Variational Inequalities.- 13. A Common Solution of a Family of Variational Inequalities.- 14. Continuous Subgradient Method.- 15. Penalty Methods.- 16. Newton's method.- References.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
