Sobolev Gradients and Differential Equations, john neuberger

Автор: Brezis, H.
Название: Functional analysis, Sobolev spaces and partial differential equations
ISBN: 0387709134 ISBN-13(EAN): 9780387709130
Издательство: Springer
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Цена: 9077.00 р.
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Описание: This textbook is a completely revised, updated, and expanded English edition of the important Analyse fonctionnelle (1983). Uniquely, this book presents in a coherent, concise and unified way the main results from functional analysis together with the main results from the theory of partial differential equations (PDEs).

Автор: Julii A. Dubinskii
Название: Sobolev Spaces of Infinite Order and Differential Equations
ISBN: 9027721475 ISBN-13(EAN): 9789027721471
Издательство: Springer
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Цена: 10760.00 р.
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Автор: Owe Axelsson; Lily Yu. Kolotilina
Название: Preconditioned Conjugate Gradient Methods
ISBN: 3540535152 ISBN-13(EAN): 9783540535157
Издательство: Springer
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Цена: 3492.00 р.
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Описание: The proceedings of a conference which aimed to bring together specialists working on iterative solution methods, in particular preconditioning methods. Topics presented at the conference contained both original analysis and implementational aspects of preconditioned conjugate gradient methods.

Автор: Mikhail S. Agranovich
Название: Sobolev Spaces, Their Generalizations and Elliptic Problems in Smooth and Lipschitz Domains
ISBN: 3319351834 ISBN-13(EAN): 9783319351834
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book, which is based on several courses of lectures given by the author at the Independent University of Moscow, is devoted to Sobolev-type spaces and boundary value problems for linear elliptic partial differential equations.

Автор: Agranovich Mikhail
Название: Sobolev Spaces, Their Generalizations and Elliptic Problems
ISBN: 3319146475 ISBN-13(EAN): 9783319146478
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book, which is based on several courses of lectures given by the author at the Independent University of Moscow, is devoted to Sobolev-type spaces and boundary value problems for linear elliptic partial differential equations.

Автор: Artur Lemonte
Название: The Gradient Test
ISBN: 012803596X ISBN-13(EAN): 9780128035962
Издательство: Elsevier Science
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Цена: 8757.00 р.
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Описание:

The Gradient Test: Another Likelihood-Based Test presents the latest on the gradient test, a large-sample test that was introduced in statistics literature by George R. Terrell in 2002. The test has been studied by several authors, is simply computed, and can be an interesting alternative to the classical large-sample tests, namely, the likelihood ratio (LR), Wald (W), and Rao score (S) tests.

Автор: Radoslaw Pytlak
Название: Conjugate Gradient Algorithms in Nonconvex Optimization
ISBN: 3642099254 ISBN-13(EAN): 9783642099250
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This book details algorithms for large-scale unconstrained and bound constrained optimization. It shows optimization techniques from a conjugate gradient algorithm perspective as well as methods of shortest residuals, which have been developed by the author.

Автор: Xie
Название: Differential Equations for Engineers
ISBN: 1107632951 ISBN-13(EAN): 9781107632950
Издательство: Cambridge Academ
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Цена: 9504.00 р.
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Описание: Xie presents a systematic introduction to differential equations for engineering students. The relevance of differential equations in engineering applications motivates readers, and studies of various types of differential equations are determined by engineering applications. The theory and techniques for solving differential equations are then applied to solve practical engineering problems.

Автор: Vladimir Maz`ya
Название: Sobolev Spaces in Mathematics I
ISBN: 1441927573 ISBN-13(EAN): 9781441927576
Издательство: Springer
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Цена: 26546.00 р.
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Описание: This volume mark`s the centenary of the birth of the outstanding mathematician of the 20th century, Sergey Sobolev. It includes new results on the latest topics of the theory of Sobolev spaces, partial differential equations, analysis and mathematical physics.