BONUS algorithm for large scale stochastic nonlinear programming problems:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY [u.a.]
Springer
2015
|
| Schriftenreihe: | SpringerBriefs in optimization
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FRO01 TUM01 UBM01 UBT01 UBW01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (XVIII, 146 S.) 57 illus., 19 illus. in color |
| ISBN: | 9781493922826 |
| ISSN: | 2190-8354 |
| DOI: | 10.1007/978-1-4939-2282-6 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804153211132575744 |
|---|---|
| adam_text | BONUS ALGORITHM FOR LARGE SCALE STOCHASTIC NONLINEAR PROGRAMMING
PROBLEMS
/ DIWEKAR, URMILA
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
1. INTRODUCTION
2. UNCERTAINTY ANALYSIS AND SAMPLING TECHNIQUES
3. PROBABILITY DENSITY FUNCTIONS AND KERNEL DENSITY ESTIMATION
4. THE BONUS ALGORITHM
5. WATER MANAGEMENT UNDER WEATHER UNCERTAINTY
6. REAL TIME OPTIMIZATION FOR WATER MANAGEMENT
7. SENSOR PLACEMENT UNDER UNCERTAINTY FOR POWER PLANTS
8. THE L-SHAPED BONUS ALGORITHM
9. THE ENVIRONMENTAL TRADING PROBLEM
10. WATER SECURITY NETWORKS
REFERENCES
INDEX
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
BONUS ALGORITHM FOR LARGE SCALE STOCHASTIC NONLINEAR PROGRAMMING
PROBLEMS
/ DIWEKAR, URMILA
: 2015
ABSTRACT / INHALTSTEXT
THIS BOOK PRESENTS THE DETAILS OF THE BONUS ALGORITHM AND ITS REAL WORLD
APPLICATIONS IN AREAS LIKE SENSOR PLACEMENT IN LARGE SCALE DRINKING
WATER NETWORKS, SENSOR PLACEMENT IN ADVANCED POWER SYSTEMS, WATER
MANAGEMENT IN POWER SYSTEMS, AND CAPACITY EXPANSION OF ENERGY SYSTEMS. A
GENERALIZED METHOD FOR STOCHASTIC NONLINEAR PROGRAMMING BASED ON A
SAMPLING BASED APPROACH FOR UNCERTAINTY ANALYSIS AND STATISTICAL
REWEIGHTING TO OBTAIN PROBABILITY INFORMATION IS DEMONSTRATED IN THIS
BOOK. STOCHASTIC OPTIMIZATION PROBLEMS ARE DIFFICULT TO SOLVE SINCE THEY
INVOLVE DEALING WITH OPTIMIZATION AND UNCERTAINTY LOOPS. THERE ARE TWO
FUNDAMENTAL APPROACHES USED TO SOLVE SUCH PROBLEMS. THE FIRST BEING THE
DECOMPOSITION TECHNIQUES AND THE SECOND METHOD IDENTIFIES PROBLEM
SPECIFIC STRUCTURES AND TRANSFORMS THE PROBLEM INTO A DETERMINISTIC
NONLINEAR PROGRAMMING PROBLEM. THESE TECHNIQUES HAVE SIGNIFICANT
LIMITATIONS ON EITHER THE OBJECTIVE FUNCTION TYPE OR THE UNDERLYING
DISTRIBUTIONS FOR THE UNCERTAIN VARIABLES. MOREOVER, THESE METHODS
ASSUME THAT THERE ARE A SMALL NUMBER OF SCENARIOS TO BE EVALUATED FOR
CALCULATION OF THE PROBABILISTIC OBJECTIVE FUNCTION AND CONSTRAINTS.
THIS BOOK BEGINS TO TACKLE THESE ISSUES BY DESCRIBING A GENERALIZED
METHOD FOR STOCHASTIC NONLINEAR PROGRAMMING PROBLEMS. THIS TITLE IS BEST
SUITED FOR PRACTITIONERS, RESEARCHERS AND STUDENTS IN ENGINEERING,
OPERATIONS RESEARCH, AND MANAGEMENT SCIENCE WHO DESIRE A COMPLETE
UNDERSTANDING OF THE BONUS ALGORITHM AND ITS APPLICATIONS TO THE REAL
WORLD
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Diwekar, Urmila M. David, Amy |
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| author_sort | Diwekar, Urmila M. |
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| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4939-2282-6 |
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| isbn | 9781493922826 |
| issn | 2190-8354 |
| language | English |
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| physical | 1 Online-Ressource (XVIII, 146 S.) 57 illus., 19 illus. in color |
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| spelling | Diwekar, Urmila M. Verfasser aut BONUS algorithm for large scale stochastic nonlinear programming problems Urmila Diwekar ; Amy David New York, NY [u.a.] Springer 2015 1 Online-Ressource (XVIII, 146 S.) 57 illus., 19 illus. in color txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in optimization 2190-8354 Mathematics Differentiable dynamical systems Systems theory Algorithms Operations Research, Management Science Systems Theory, Control Dynamical Systems and Ergodic Theory Mathematik David, Amy Verfasser aut Erscheint auch als Druckausgabe 978-1-4939-2281-9 https://doi.org/10.1007/978-1-4939-2282-6 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916636&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027916636&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Diwekar, Urmila M. David, Amy BONUS algorithm for large scale stochastic nonlinear programming problems Mathematics Differentiable dynamical systems Systems theory Algorithms Operations Research, Management Science Systems Theory, Control Dynamical Systems and Ergodic Theory Mathematik |
| title | BONUS algorithm for large scale stochastic nonlinear programming problems |
| title_auth | BONUS algorithm for large scale stochastic nonlinear programming problems |
| title_exact_search | BONUS algorithm for large scale stochastic nonlinear programming problems |
| title_full | BONUS algorithm for large scale stochastic nonlinear programming problems Urmila Diwekar ; Amy David |
| title_fullStr | BONUS algorithm for large scale stochastic nonlinear programming problems Urmila Diwekar ; Amy David |
| title_full_unstemmed | BONUS algorithm for large scale stochastic nonlinear programming problems Urmila Diwekar ; Amy David |
| title_short | BONUS algorithm for large scale stochastic nonlinear programming problems |
| title_sort | bonus algorithm for large scale stochastic nonlinear programming problems |
| topic | Mathematics Differentiable dynamical systems Systems theory Algorithms Operations Research, Management Science Systems Theory, Control Dynamical Systems and Ergodic Theory Mathematik |
| topic_facet | Mathematics Differentiable dynamical systems Systems theory Algorithms Operations Research, Management Science Systems Theory, Control Dynamical Systems and Ergodic Theory Mathematik |
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