Practical Mathematical Optimization
-15%
portes grátis
Practical Mathematical Optimization
Basic Optimization Theory and Gradient-Based Algorithms
Wilke, Daniel N; Snyman, Jan A
Springer International Publishing AG
05/2018
372
Dura
Inglês
9783319775852
15 a 20 dias
764
Descrição não disponível.
1.Introduction.- 2.Line search descent methods for unconstrained minimization.-3. Standard methods for constrained optimization.-4. Basic Example Problems.- 5. Some Basic Optimization Theorems.- 6. New gradient-based trajectory and approximation methods.- 7. Surrogate Models.- 8. Gradient-only solution strategies.- 9. Practical computational optimization using Python.- Appendix.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Mathematica;algorithms;linear optimization;optimization;programming;Python;multi-modal optimization;non-smooth optimization;discontinuous optimization;Numerical Linear Algebra;Hessian matrix approximations;Gradient-only solution strategies;Karush-Kuhn-Tucker theory;Quadratic programming;line search descent algorithm for unconstrained minimization;Unconstrained one-dimensional minimization
1.Introduction.- 2.Line search descent methods for unconstrained minimization.-3. Standard methods for constrained optimization.-4. Basic Example Problems.- 5. Some Basic Optimization Theorems.- 6. New gradient-based trajectory and approximation methods.- 7. Surrogate Models.- 8. Gradient-only solution strategies.- 9. Practical computational optimization using Python.- Appendix.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Mathematica;algorithms;linear optimization;optimization;programming;Python;multi-modal optimization;non-smooth optimization;discontinuous optimization;Numerical Linear Algebra;Hessian matrix approximations;Gradient-only solution strategies;Karush-Kuhn-Tucker theory;Quadratic programming;line search descent algorithm for unconstrained minimization;Unconstrained one-dimensional minimization
