|
|
|
|
LEADER |
03517nam a22004335i 4500 |
001 |
6c563123-97ef-4eb3-a41b-576b2556be32 |
005 |
20240519000000.0 |
008 |
171202s2017^^^^gw^|^^^^o^^^^||||^0|eng^d |
020 |
|
|
|a 9783319689128
|
020 |
|
|
|a 9783319689135
|
024 |
7 |
|
|a 10.1007/978-3-319-68913-5
|2 doi
|
035 |
|
|
|a (WaSeSS)ssj0001930836
|
040 |
|
|
|d WaSeSS
|
050 |
|
4 |
|a QA402.5-402.6
|
072 |
|
7 |
|a MAT003000
|2 bisacsh
|
072 |
|
7 |
|a PBU
|2 bicssc
|
082 |
0 |
4 |
|a 519.6
|2 23
|
100 |
1 |
|
|a Audet, Charles
|
245 |
1 |
0 |
|a Derivative-Free and Blackbox Optimization
|h [electronic resource] /
|c by Charles Audet, Warren Hare
|
260 |
|
|
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017
|
300 |
|
|
|a 1 online resource (XVIII, 302 p. 38 illus.)
|b online resource
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Springer Series in Operations Research and Financial Engineering,
|x 1431-8598
|
505 |
0 |
|
|a Part I: Introduction and Background Material -- Introduction: Tools and Challenges -- Mathematical Background -- The Beginnings of DFO Algorithms -- Part I: Some Remarks on DFO -- Part II: Popular Heuristic Methods -- Genetic Algorithms -- Nelder-Mead -- Part II: Further Remarks on Heuristics -- Part III: Direct Search Methods -- Positive bases and Nonsmooth Optimization -- Generalized Pattern Search -- Mesh Adaptive Direct Search -- Part III: Further Remarks on Direct Search Methods -- Part IV: Model-based Methods -- Model-based Descent -- Model-based Trust Region -- Part IV: Further Remarks on Model-based Methods -- Part V: Extensions and Refinements -- Variables and Constraints -- Optimization Using Surrogates and Models -- Biobjective Optimization -- Part V: Final Remarks on DFO/BBO -- Part VI: Appendix: Comparing Optimization Methods -- Solutions to Selected Exercises
|
520 |
|
|
|a This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. The book is split into 5 parts and is designed to be modular; any individual part depends only on the material in Part I. Part I of the book discusses what is meant by Derivative-Free and Blackbox Optimization, provides background material, and early basics while Part II focuses on heuristic methods (Genetic Algorithms and Nelder-Mead). Part III presents direct search methods (Generalized Pattern Search and Mesh Adaptive Direct Search) and Part IV focuses on model-based methods (Simplex Gradient and Trust Region). Part V discusses dealing with constraints, using surrogates, and bi-objective optimization. End of chapter exercises are included throughout as well as 15 end of chapter projects and over 40 figures. Benchmarking techniques are also presented in the appendix
|
650 |
|
0 |
|a Mathematical optimization
|
650 |
|
0 |
|a Mathematics
|
650 |
|
0 |
|a Numerical analysis
|
650 |
1 |
4 |
|a Mathematics
|
650 |
2 |
4 |
|a Numerical Analysis
|
650 |
2 |
4 |
|a Optimization
|
655 |
|
7 |
|a Electronic books
|2 lcgft
|
700 |
1 |
|
|a Hare, Warren
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer eBooks
|
776 |
0 |
8 |
|i Printed edition:
|z 9783319689128
|
830 |
|
0 |
|a Springer series in operations research
|x 1431-8598
|
999 |
1 |
0 |
|i 6c563123-97ef-4eb3-a41b-576b2556be32
|l 008185662
|s US-NCD
|m derivative_free_and_blackbox_optimization_____________________________elect2017_______sprina________________________________________audet__charles_____________________e
|
999 |
1 |
1 |
|l 008185662
|s ISIL:US-NCD
|t BKS
|a DUKIR
|x ITNET
|p UNLOANABLE
|