Author: Thomas Earl Croley
Publisher:
ISBN:
Category : Stochastic processes
Languages : en
Pages : 276
Book Description
Sequential Stochastic Optimization in Water Resources
Author: Thomas Earl Croley
Publisher:
ISBN:
Category : Stochastic processes
Languages : en
Pages : 276
Book Description
Publisher:
ISBN:
Category : Stochastic processes
Languages : en
Pages : 276
Book Description
Efficient Sequential Optimization in Water Resources
Author: Thomas E. Croley
Publisher:
ISBN:
Category : Hydrology
Languages : en
Pages : 44
Book Description
Publisher:
ISBN:
Category : Hydrology
Languages : en
Pages : 44
Book Description
Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization
Author: J.B. Marco
Publisher: Springer Science & Business Media
ISBN: 9401116970
Category : Science
Languages : en
Pages : 470
Book Description
Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.
Publisher: Springer Science & Business Media
ISBN: 9401116970
Category : Science
Languages : en
Pages : 470
Book Description
Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.
Sequential Operations of Water Resource Systems Using Adaptive Multi-objective Trade-offs
Author: Thomas E. Croley
Publisher:
ISBN:
Category : Water resources development
Languages : en
Pages : 48
Book Description
Publisher:
ISBN:
Category : Water resources development
Languages : en
Pages : 48
Book Description
Data-driven Stochastic Optimization with Application to Water Resources Management
Author: Jangho Park
Publisher:
ISBN:
Category : Stochastic programming
Languages : en
Pages : 158
Book Description
Data-driven methods have become paramount in science, engineering, and business with the advances in data collection and storage. This dissertation focuses on data-driven optimization of systems under uncertainty. It makes several methodological advances, examining what happens as more data is collected and applies them to water resources management problems. First, the dissertation examines sequential sampling procedures, where an optimization problem under uncertainty is solved with the current available data. If the obtained solution is "high-quality" with respect to a user-specified criterion, then, the procedure stops. Otherwise, more data is collected and the optimization and solution quality assessment steps are repeated until a desirable solution is obtained. Earlier work in this area mainly looked at using independent and identically distributed data. In this dissertation, we investigate the use of variance reduction techniques antithetic variates and Latin hypercube sampling within sequential sampling procedures both theoretically and numerically.
Publisher:
ISBN:
Category : Stochastic programming
Languages : en
Pages : 158
Book Description
Data-driven methods have become paramount in science, engineering, and business with the advances in data collection and storage. This dissertation focuses on data-driven optimization of systems under uncertainty. It makes several methodological advances, examining what happens as more data is collected and applies them to water resources management problems. First, the dissertation examines sequential sampling procedures, where an optimization problem under uncertainty is solved with the current available data. If the obtained solution is "high-quality" with respect to a user-specified criterion, then, the procedure stops. Otherwise, more data is collected and the optimization and solution quality assessment steps are repeated until a desirable solution is obtained. Earlier work in this area mainly looked at using independent and identically distributed data. In this dissertation, we investigate the use of variance reduction techniques antithetic variates and Latin hypercube sampling within sequential sampling procedures both theoretically and numerically.
Stochastic Water Resources Technology
Author: N. T Kottegoda
Publisher: Springer
ISBN: 1349034673
Category : Mathematics
Languages : en
Pages : 384
Book Description
Publisher: Springer
ISBN: 1349034673
Category : Mathematics
Languages : en
Pages : 384
Book Description
Stochastic Optimization and Simulation Techniques for Management of Regional Water Resource Systems
Author: Texas Water Development Board. Systems Engineering Division
Publisher:
ISBN:
Category : Water resources development
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category : Water resources development
Languages : en
Pages : 0
Book Description
Stochastic Optimization and Simulation Techniques for Management of Regional Water Resources Systems
Author:
Publisher:
ISBN:
Category : Stochastic processes
Languages : en
Pages : 129
Book Description
Publisher:
ISBN:
Category : Stochastic processes
Languages : en
Pages : 129
Book Description