Practical Mathematical Optimization : Basic Optimization Theory and Gradient-Based Algorithms /
Snyman, Jan A
Practical Mathematical Optimization : Basic Optimization Theory and Gradient-Based Algorithms / Jan A Snyman, Daniel N Wilke. - 2nd ed - Cham : Springer, 2018 - xxvi, 372p. - Springer Optimization and Its Applications, 1931-6828 ; 133 .
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.
9783319775852
Optimization.
Algorithms.
Mathematical Software.
Numerical Analysis.
519.6 / SNY-18
Practical Mathematical Optimization : Basic Optimization Theory and Gradient-Based Algorithms / Jan A Snyman, Daniel N Wilke. - 2nd ed - Cham : Springer, 2018 - xxvi, 372p. - Springer Optimization and Its Applications, 1931-6828 ; 133 .
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.
9783319775852
Optimization.
Algorithms.
Mathematical Software.
Numerical Analysis.
519.6 / SNY-18