Authors:
- Long awaited softcover re-publication of a highly cited Classic in Applied Mathematics and Computational Physics
- Benefits graduate students and practitioners in applied mathematics, computational physics and engineering
- With excercises throughout the text
Part of the book series: Scientific Computation (SCIENTCOMP)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Many mechanics and physics problems have variational formulations making them appropriate for numerical treatment by finite element techniques and efficient iterative methods. This book describes the mathematical background and reviews the techniques for solving problems, including those that require large computations such as transonic flows for compressible fluids and the Navier-Stokes equations for incompressible viscous fluids. Finite element approximations and non-linear relaxation, augmented Lagrangians, and nonlinear least square methods are all covered in detail, as are many applications.
"Numerical Methods for Nonlinear Variational Problems", originally published in the Springer Series in Computational Physics, is a classic in applied mathematics and computational physics and engineering. This long-awaited softcover re-edition is still a valuable resource for practitioners in industry and physics and for advanced students.
Authors and Affiliations
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Institut de Recherche d’Informatique et d’Automatique (IRIA), Le Chesnay, France
Roland Glowinski
Bibliographic Information
Book Title: Numerical Methods for Nonlinear Variational Problems
Authors: Roland Glowinski
Series Title: Scientific Computation
DOI: https://doi.org/10.1007/978-3-662-12613-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1984
Softcover ISBN: 978-3-662-12615-8Published: 03 October 2013
eBook ISBN: 978-3-662-12613-4Published: 29 June 2013
Series ISSN: 1434-8322
Series E-ISSN: 2198-2589
Edition Number: 1
Number of Pages: XVII, 493
Topics: Numerical and Computational Physics, Simulation, Computational Intelligence, Computational Mathematics and Numerical Analysis, Classical and Continuum Physics, Mathematical and Computational Engineering, Calculus of Variations and Optimal Control; Optimization