Author: Gerald J. Kauffman
Publisher:
ISBN:
Category : Christina River Watershed (Del.)
Languages : en
Pages :
Book Description
A Watershed Restoration Action Strategy (WRAS) for the Delaware Portion of the Christina Basin
Author: Gerald J. Kauffman
Publisher:
ISBN:
Category : Christina River Watershed (Del.)
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category : Christina River Watershed (Del.)
Languages : en
Pages :
Book Description
Executive Summary
Author: Gerald J. Kauffman
Publisher:
ISBN:
Category : Christina River Watershed (Del.)
Languages : en
Pages : 29
Book Description
Publisher:
ISBN:
Category : Christina River Watershed (Del.)
Languages : en
Pages : 29
Book Description
Christina Basin Pollution Control Strategy (PCS)
Author: Christina Basin Tributary Action Team
Publisher:
ISBN:
Category : Christina River Watershed (Del.)
Languages : en
Pages : 214
Book Description
Publisher:
ISBN:
Category : Christina River Watershed (Del.)
Languages : en
Pages : 214
Book Description
BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
Author: Urmila Diwekar
Publisher: Springer
ISBN: 1493922823
Category : Business & Economics
Languages : en
Pages : 168
Book Description
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.
Publisher: Springer
ISBN: 1493922823
Category : Business & Economics
Languages : en
Pages : 168
Book Description
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.
Proceedings the Historic Christina Basin
Author: University of Delaware. Water Resources Center
Publisher:
ISBN:
Category : Christina River Watershed (Del.)
Languages : en
Pages : 31
Book Description
Publisher:
ISBN:
Category : Christina River Watershed (Del.)
Languages : en
Pages : 31
Book Description
Water Management of the Delaware River Basin
Author: Delaware River Basin Commission
Publisher:
ISBN:
Category : Delaware River (N.Y.-Del. and N.J.)
Languages : en
Pages : 380
Book Description
Publisher:
ISBN:
Category : Delaware River (N.Y.-Del. and N.J.)
Languages : en
Pages : 380
Book Description
State of Delaware Continuing Planning Process for Water Quality Management
Author: Delaware. Department of Natural Resources and Environmental Control
Publisher:
ISBN:
Category : Water quality management
Languages : en
Pages : 112
Book Description
Publisher:
ISBN:
Category : Water quality management
Languages : en
Pages : 112
Book Description
Information Bulletin - Delaware River Basin Study
Author: United States. Army. Corps of Engineers
Publisher:
ISBN:
Category : Delaware River Basin
Languages : en
Pages : 56
Book Description
Publisher:
ISBN:
Category : Delaware River Basin
Languages : en
Pages : 56
Book Description
The Delaware River Basin Comprehensive Study (level B Study)
Author: Delaware River Basin Commission
Publisher:
ISBN:
Category : Delaware River Watershed (N.Y.-Del. and N.J.)
Languages : en
Pages : 210
Book Description
Publisher:
ISBN:
Category : Delaware River Watershed (N.Y.-Del. and N.J.)
Languages : en
Pages : 210
Book Description
The Delaware River Basin
Author: Interstate Commission on the Delaware River Basin
Publisher:
ISBN:
Category : Delaware River Watershed (N.Y.-Del. and N.J.)
Languages : en
Pages : 32
Book Description
Publisher:
ISBN:
Category : Delaware River Watershed (N.Y.-Del. and N.J.)
Languages : en
Pages : 32
Book Description