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Numerical Methods for Nonlinear Elliptic Differential Equations : A Synopsis (Numerical Mathematics and Scientific Computation)

By: Klaus Boehmer (Author)

Manufacture on Demand

Ksh 29,300.00

Format: Hardback or Cased Book

ISBN-10: 0199577048

ISBN-13: 9780199577040

Collection / Series: Numerical Mathematics and Scientific Computation

Collection Type: Publisher collection

Publisher: Oxford University Press

Imprint: Oxford University Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 7th, 2010

Publication Status: Active

Product extent: 776 Pages

Weight: 1662.00 grams

Dimensions (height x width x thickness): 25.20 x 17.20 x 4.60 cms

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Nonlinear elliptic problems are important to Mathematics, Science and Engineering. This is the first and only book to handle systematically the different numerical methods for these problems. Several long open problems are solved here for the first time.
Nonlinear elliptic problems play an increasingly important role in mathematics, science and engineering, creating an exciting interplay between the subjects. This is the first and only book to prove in a systematic and unifying way, stability, convergence and computing results for the different numerical methods for nonlinear elliptic problems. The proofs use linearization, compact perturbation of the coercive principal parts, or monotone operator techniques, and approximation theory. Examples are given for linear to fully nonlinear problems (highest derivatives occur nonlinearly) and for the most important space discretization methods: conforming and nonconforming finite element, discontinuous Galerkin, finite difference, wavelet (and, in a volume to follow, spectral and meshfree) methods. A number of specific long open problems are solved here: numerical methods for fully nonlinear elliptic problems, wavelet and meshfree methods for nonlinear problems, and more general nonlinear boundary conditions. We apply it to all these problems and methods, in particular to eigenvalues, monotone operators, quadrature approximations, and Newton methods. Adaptivity is discussed for finite element and wavelet methods.The book has been written for graduate students and scientists who want to study and to numerically analyze nonlinear elliptic differential equations in Mathematics, Science and Engineering. It can be used as material for graduate courses or advanced seminars.

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