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Chapter 8: Pattern formation in 4th order equations 🔍
SIAM - Society for Industrial and Applied Mathematics, Numerical Continuation and Bifurcation in Nonlinear PDEs, 2021
Hannes Uecker 🔍
description
Partial differential equations (PDEs) are the main tool to describe spatially and temporally extended systems in nature. PDEs usually come with parameters, and the study of the parameter dependence of their solutions is an important task. Letting one parameter vary typically yields a branch of solutions, and at special parameter values, new branches may bifurcate. Numerical Continuation and Bifurcation in Nonlinear PDEs presents hands-on approach to numerical continuation and bifurcation for nonlinear PDEs, in 1D, 2D and 3D, provides a concise but sound review of analytical background and numerical methods, explains the use of the free MATLAB package pde2path via a large variety of examples with ready to use code, and contains demo codes that can be easily adapted to the reader's given problem. This book will be of interest to applied mathematicians and scientists from physics, chemistry, biology, and economics interested in the numerical solution of nonlinear PDEs, particularly the parameter dependence of solutions. It is appropriate for the following Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory
Alternative title
Numerical Continuation and Bifurcation in Nonlinear PDEs
Alternative publisher
University of Maryland, Baltimore, OEA
Alternative edition
Other titles in applied mathematics, 174, Philadelphia, 2021
Alternative edition
United States, United States of America
metadata comments
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Alternative description
"This book presents a hands-on approach to numerical continuation and bifurcation for nonlinear PDEs"-- Provided by publisher
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