语种:	eng
中图分类法:	O221.5 版次：
著者:	Diwekar, Urmila,
题名:	BONUS algorithm for large scale stochastic nonlinear programming problems / / ,
载体形态:	xviii, 146 pages : illustrations (some color), digital ; 24 cm.
内容提要:	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 specif