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Añadir al carritoPaperback. Condición: New. Print on Demand. This book presents an analysis of conjugate gradient methods for solving systems of linear equations. Conjugate gradient methods are a class of iterative algorithms that are used to solve large-scale linear systems that arise in various scientific and engineering applications. The book provides a unified framework for understanding the convergence properties and error bounds of these methods. The author shows how these methods can be derived variationally, which leads to new insights into their behavior. The book also discusses the use of preconditioners to improve the convergence of conjugate gradient methods. The author provides an overview of the historical development of conjugate gradient methods and discusses their relationship to other iterative methods. The book is a valuable resource for researchers and practitioners who are interested in the theory and application of conjugate gradient methods. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
Idioma: Inglés
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976529 ISBN 13: 9781611976526
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976529 ISBN 13: 9781611976526
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Añadir al carritoPaperback. Condición: New. Expositions of quantitative methods and algorithms for biological data tend to be scattered through the technical literature, often across different fields, and are thus awkward to assimilate. This book documents one example of this: the relationship between the cell biology idea of metabolic networks and the mathematical idea of polyhedral cones. Such cones can be used to describe the set of steady-state admissible fluxes through metabolic networks, and consequently have become important constructs in the field of microbiology.Via convex cone concepts, fundamental objects called elementary flux modes (EFMs) can be described mathematically. The fundamental algorithm of this relationship is the double description method, which has an extended history in the field of computational geometry. This monograph addresses its relatively recent use in the context of cellular metabolism. Metabolic Networks, Elementary Flux Modes, and Polyhedral Cones:Addresses important topics in the mathematical description of metabolic activity that have not previously appeared in unified form.Introduces a central topic of mathematical systems biology in a manner accessible to nonmathematicians with some mathematical and computational experience. Presents a careful study of the double description method, a fundamental algorithm of computational geometry, in the context of metabolic analysis.The core audience for this book includes mathematicians, engineers, and biologists interested in cell metabolism. Computational geometers will also find it of interest.
Idioma: Inglés
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976529 ISBN 13: 9781611976526
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Society For Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976529 ISBN 13: 9781611976526
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback / Softback. Condición: Brand New. 125 pages. 10.08x0.47x7.01 inches. In Stock.
Idioma: Inglés
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976529 ISBN 13: 9781611976526
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Idioma: Inglés
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976529 ISBN 13: 9781611976526
Librería: Majestic Books, Hounslow, Reino Unido
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Idioma: Inglés
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976529 ISBN 13: 9781611976526
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 66,42
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Idioma: Inglés
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976529 ISBN 13: 9781611976526
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Idioma: Inglés
Publicado por Creative Media Partners, LLC Sep 2015, 2015
ISBN 10: 1341673340 ISBN 13: 9781341673344
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. Neuware - This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Idioma: Inglés
Publicado por Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976529 ISBN 13: 9781611976526
Librería: Rarewaves.com UK, London, Reino Unido
EUR 62,48
Cantidad disponible: 6 disponibles
Añadir al carritoPaperback. Condición: New. Expositions of quantitative methods and algorithms for biological data tend to be scattered through the technical literature, often across different fields, and are thus awkward to assimilate. This book documents one example of this: the relationship between the cell biology idea of metabolic networks and the mathematical idea of polyhedral cones. Such cones can be used to describe the set of steady-state admissible fluxes through metabolic networks, and consequently have become important constructs in the field of microbiology.Via convex cone concepts, fundamental objects called elementary flux modes (EFMs) can be described mathematically. The fundamental algorithm of this relationship is the double description method, which has an extended history in the field of computational geometry. This monograph addresses its relatively recent use in the context of cellular metabolism. Metabolic Networks, Elementary Flux Modes, and Polyhedral Cones:Addresses important topics in the mathematical description of metabolic activity that have not previously appeared in unified form.Introduces a central topic of mathematical systems biology in a manner accessible to nonmathematicians with some mathematical and computational experience. Presents a careful study of the double description method, a fundamental algorithm of computational geometry, in the context of metabolic analysis.The core audience for this book includes mathematicians, engineers, and biologists interested in cell metabolism. Computational geometers will also find it of interest.
Idioma: Inglés
Publicado por American Mathematical Society, 2020
ISBN 10: 1470451638 ISBN 13: 9781470451639
Librería: Revaluation Books, Exeter, Reino Unido
EUR 228,48
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Añadir al carritoPaperback. Condición: Brand New. 364 pages. 9.75x7.00x0.75 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. Print on Demand pp. 34.