Mariesa l crow (38 resultados)

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Paperback. Condición: Very Good. This book introduces computational methods that form the basis of many analytical studies in power systems. It provides the background for algorithms that underlie several commercial software packages, linking concepts to power system applications. The third edition contains new material on preconditioners for linear iterative methods, Broyden's.…

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Taschenbuch. Condición: Neu. Computational Methods for Electric Power Systems | Mariesa L. Crow | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | CRC Press | EAN 9781032098227 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Hardback. Condición: New. As power systems increasingly operate under stressed conditions, computer simulation will play a large role in control and security assessment. Commercial packages routinely fail or give erroneous results when used to simulate stressed systems. Understanding the underlying numerical algorithms is imperative to correctly interpret the results of commercial packages.The first part of the book provides the basic concepts of linear and nonlinear computational methods. These methods are then extended to include more specialized approaches including time domain simulation, optimization, sparsity methods, and eigensystem analysis. Computational Methods for Electric Power Systems is an indispensable handbook for any practicing power systems engineer.Includes Instructor Resources, Solution Manuals and MATLAB® Codes for all examplesProvides up-to-date algorithms and approachesProvides a comprehensive overview of many of the algorithmic methods used in modern power systems analysisContains expanded examples, end of chapter exercises, and computer-based projects.…

Hardcover. Condición: Brand New. 4th edition. 376 pages. 9.18x6.12x9.45 inches. In Stock.

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Hardback. Condición: New. As power systems increasingly operate under stressed conditions, computer simulation will play a large role in control and security assessment. Commercial packages routinely fail or give erroneous results when used to simulate stressed systems. Understanding the underlying numerical algorithms is imperative to correctly interpret the results of commercial packages.The first part of the book provides the basic concepts of linear and nonlinear computational methods. These methods are then extended to include more specialized approaches including time domain simulation, optimization, sparsity methods, and eigensystem analysis. Computational Methods for Electric Power Systems is an indispensable handbook for any practicing power systems engineer.Includes Instructor Resources, Solution Manuals and MATLAB® Codes for all examplesProvides up-to-date algorithms and approachesProvides a comprehensive overview of many of the algorithmic methods used in modern power systems analysisContains expanded examples, end of chapter exercises, and computer-based projects.…

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Condición: New. Mariesa L. Crow is a professor of electrical engineering at the Missouri University of Science and Technology, Rolla, USA. Dr. Crow is director of the Energy Research and Development Center. Her areas of research include computer-aided a.

Hardcover. Condición: Brand New. 3rd revised edition. 328 pages. 9.50x6.50x0.75 inches. In Stock.

Buch. Condición: Neu. Neuware - Computational Methods for Electric Power Systems introduces computational methods that form the basis of many analytical studies in power systems. The book provides the background for a number of widely used algorithms that underlie several commercial software packages, linking concepts to power system applications. By understanding the theory behind many of the algorithms, the reader can make better use of the software and make more informed decisions (e.g., choice of integration method and step size in simulation packages).This Third Edition contains new material on preconditioners for linear iterative methods, Broyden's method, and Jacobian-free Newton-Krylov methods. It includes additional problems and examples, as well as updated examples on sparse lower-upper (LU) factorization. It also adds coverage of the eigensystem realization algorithm and the double-shift method for computing complex eigenvalues.…