Practical Mathematical Optimization : Basic Optimization Theory and Gradient-Based Algorithms / Jan A Snyman, Daniel N Wilke.

By:

Snyman, Jan A

Contributor(s):

Wilke, Daniel N

Material type: Text

TextSeries: Springer Optimization and Its Applications, 1931-6828 ; 133Publication details: Cham : Springer, 2018Edition: 2nd edDescription: xxvi, 372pISBN:

9783319775852

Subject(s):

DDC classification:

519.6 SNY-18

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	Indian Institute of Management Raipur	Reference	519.6 SNY-18 (Browse shelf(Opens below))	Not for loan	4845.80		13136

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.

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