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BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
Urmila Diwekar
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Description for BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
Paperback. Series: SpringerBriefs in Optimization. Num Pages: 164 pages, 38 black & white illustrations, 19 colour illustrations, 36 black & white tables, biograp. BIC Classification: GPFC; KJT; PBKS; PBWR. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 9. Weight in Grams: 261.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer-Verlag New York Inc.
Format
Paperback
Publication date
2015
Series
SpringerBriefs in Optimization
Condition
New
Weight
261g
Number of Pages
146
Place of Publication
New York, United States
ISBN
9781493922819
SKU
V9781493922819
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
The authors try to introduce and give a survey of two types of solution algorithms: the BONUS (Better Optimization of Nonlinear Uncertain System) algorithm and the L-shaped BONUS algorithm. ... the text is written in an understandable way and it should prove useful to specialists from different fields of investigation. (Vlasta Kankova, Mathematical Reviews, May, 2016)