Download or read book Sequential Stochastic Optimization in Water Resources written by Thomas Earl Croley and published by . This book was released on 1972 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Efficient Sequential Optimization in Water Resources written by Thomas E. Croley and published by . This book was released on 1974 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization written by J.B. Marco and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Stochastic Water Resources Technology written by N. T Kottegoda and published by Springer. This book was released on 1980-06-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sequential Operations of Water Resource Systems Using Adaptive Multi objective Trade offs written by Thomas E. Croley and published by . This book was released on 1974 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data driven Stochastic Optimization with Application to Water Resources Management written by Jangho Park and published by . This book was released on 2019 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Stochastic Optimization and Simulation Techniques for Management of Regional Water Resource Systems written by Texas Water Development Board. Systems Engineering Division and published by . This book was released on 1970 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Stochastic Optimization and Simulation Techniques for Management of Regional Water Resources Systems written by and published by . This book was released on 1971 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Stochastic optimization and simulation techniques for management of regional water resource systems written by and published by . This book was released on 1971 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Completion Report on Stochastic Optimization and Simulation Techniques for Management of Regional Water Resource Systems written by Texas Water Development Board. Systems Engineering Division and published by . This book was released on 1970 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Selected Water Resources Abstracts written by and published by . This book was released on 1990 with total page 1180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Inexact Two Stage Stochastic Optimization written by G. H. Huang (D. P. Loucks, S.-C. Yeh, and B. Bass) and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reinforcement Learning and Stochastic Optimization written by Warren B. Powell and published by John Wiley & Sons. This book was released on 2022-03-15 with total page 1090 pages. Available in PDF, EPUB and Kindle. Book excerpt: REINFORCEMENT LEARNING AND STOCHASTIC OPTIMIZATION Clearing the jungle of stochastic optimization Sequential decision problems, which consist of “decision, information, decision, information,” are ubiquitous, spanning virtually every human activity ranging from business applications, health (personal and public health, and medical decision making), energy, the sciences, all fields of engineering, finance, and e-commerce. The diversity of applications attracted the attention of at least 15 distinct fields of research, using eight distinct notational systems which produced a vast array of analytical tools. A byproduct is that powerful tools developed in one community may be unknown to other communities. Reinforcement Learning and Stochastic Optimization offers a single canonical framework that can model any sequential decision problem using five core components: state variables, decision variables, exogenous information variables, transition function, and objective function. This book highlights twelve types of uncertainty that might enter any model and pulls together the diverse set of methods for making decisions, known as policies, into four fundamental classes that span every method suggested in the academic literature or used in practice. Reinforcement Learning and Stochastic Optimization is the first book to provide a balanced treatment of the different methods for modeling and solving sequential decision problems, following the style used by most books on machine learning, optimization, and simulation. The presentation is designed for readers with a course in probability and statistics, and an interest in modeling and applications. Linear programming is occasionally used for specific problem classes. The book is designed for readers who are new to the field, as well as those with some background in optimization under uncertainty. Throughout this book, readers will find references to over 100 different applications, spanning pure learning problems, dynamic resource allocation problems, general state-dependent problems, and hybrid learning/resource allocation problems such as those that arose in the COVID pandemic. There are 370 exercises, organized into seven groups, ranging from review questions, modeling, computation, problem solving, theory, programming exercises and a “diary problem” that a reader chooses at the beginning of the book, and which is used as a basis for questions throughout the rest of the book.

Download or read book Selected Water Resources Abstracts written by and published by . This book was released on 1980 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimal Operation of a Water Resources System by Stochastic Programming written by R. J. Peters and published by . This book was released on 1977 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Sequential Simulation optimization Model for Reservoir Systems written by Il Whan Chung and published by . This book was released on 1982 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Analysis of Water Resource Systems written by L. Votruba and published by Elsevier. This book was released on 1988-09-01 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water resource systems research provides a basis for rational water management in large basins. The design and operation of water resource systems are both the most complicated and the most important tasks of water management. This book deals with the basic issues involved in the application of systems sciences to water management.A survey of the systems sciences (the general systems theory, cybernetics, systems engineering, operations research and systems analysis) is presented, as well as the methods for water resource systems analysis and for water resource systems analysis and for their evaluation. The mathematical methods used in systems theory have been given detailed treatment. Linear and dynamic programming have been used as models of optimal programming. Since many practical tasks require the simulation models of water resource systems, apart from their principles and a detailed description, the simulation language for computing programming has been included. Other methods of operations research and their application to water resource systems have been analysed and evaluated. Some of these are: models of inventory theory, models of queuing theory, graphs, network analysis, and some special methods like the out-of-kilter algorithm, the chance-constrained model and the chance-constrained model combined with the simluation model. One chapter is devoted to information and information systems in water management. The final part of the book deals with prospects for water resource systems development.The book is intended for engineers and decision-makers involved in projects, operation and research. However, it can be used by students in high schools, technical universities and by graduate students. It will serve as an up-to-date source of information about the principles and methodology of water resource analysis and design.