BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

SpringerBriefs in Optimization

ISBN: 1493922815
ISBN 13: 9781493922819
Autor: Diwekar, Urmila/David, Amy
Verlag: Springer Verlag GmbH
Umfang: xviii, 146 S., 38 s/w Illustr., 19 farbige Illustr., 146 p. 57 illus., 19 illus. in color.
Erscheinungsdatum: 06.03.2015
Auflage: 1/2015
Produktform: Kartoniert
Einband: Kartoniert

Incorporates the BONUS algorithm into real world applicationsCharacterizes a fast algorithm for large scale stochastic nonlinear programming problemsDescribes a new technique that can be used in areas such as security, sensor and energy systemsIncludes supplementary material: sn.pub/extras

Artikelnummer: 7379762 Kategorie:

Beschreibung

Inhaltsangabe1. 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.

Autorenporträt

Inhaltsangabe-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.

Herstellerkennzeichnung:


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