Nonlinear Elliptic Boundary Value Problems And Their Applications


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Nonlinear Elliptic Boundary Value Problems and Their Applications


Nonlinear Elliptic Boundary Value Problems and Their Applications

Author: H Begehr

language: en

Publisher: CRC Press

Release Date: 1996-05-15


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An Introduction to Nonlinear Functional Analysis and Elliptic Problems


An Introduction to Nonlinear Functional Analysis and Elliptic Problems

Author: Antonio Ambrosetti

language: en

Publisher: Springer Science & Business Media

Release Date: 2011-07-19


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This self-contained textbook provides the basic, abstract tools used in nonlinear analysis and their applications to semilinear elliptic boundary value problems and displays how various approaches can easily be applied to a range of model cases. Complete with a preliminary chapter, an appendix that includes further results on weak derivatives, and chapter-by-chapter exercises, this book is a practical text for an introductory course or seminar on nonlinear functional analysis.

Variational Methods for the Numerical Solution of Nonlinear Elliptic Problem


Variational Methods for the Numerical Solution of Nonlinear Elliptic Problem

Author: Roland Glowinski

language: en

Publisher: SIAM

Release Date: 2015-11-04


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Variational Methods for the Numerical Solution of Nonlinear Elliptic Problems addresses computational methods that have proven efficient for the solution of a large variety of nonlinear elliptic problems. These methods can be applied to many problems in science and engineering, but this book focuses on their application to problems in continuum mechanics and physics. This book differs from others on the topic by presenting examples of the power and versatility of operator-splitting methods; providing a detailed introduction to alternating direction methods of multipliers and their applicability to the solution of nonlinear (possibly nonsmooth) problems from science and engineering; and showing that nonlinear least-squares methods, combined with operator-splitting and conjugate gradient algorithms, provide efficient tools for the solution of highly nonlinear problems. The book provides useful insights suitable for advanced graduate students, faculty, and researchers in applied and computational mathematics as well as research engineers, mathematical physicists, and systems engineers.