TY  - BOOK
AU  - Snyman, Jan A
AU  - Wilke, Daniel N,
TI  - Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms / 
SN  - 9783319775852
U1  - 519.6 
PY  - 2018///
CY  - Cham : 
PB  - Springer
KW  - Optimization
KW  - Algorithms.
KW  - Mathematical Software
KW  -  Numerical Analysis.
N1  - 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
ER  -