Deflation Techniques for Finding Distinct Solutions of Nonlinear Partial Differential Equations
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Publication:5502095
DOI10.1137/140984798zbMATH Open1327.65237arXiv1410.5620OpenAlexW2962828807MaRDI QIDQ5502095
Author name not available (Why is that?)
Publication date: 17 August 2015
Published in: (Search for Journal in Brave)
Abstract: Nonlinear systems of partial differential equations (PDEs) may permit several distinct solutions. The typical current approach to finding distinct solutions is to start Newton's method with many different initial guesses, hoping to find starting points that lie in different basins of attraction. In this paper, we present an infinite-dimensional deflation algorithm for systematically modifying the residual of a nonlinear PDE problem to eliminate known solutions from consideration. This enables the Newton--Kantorovitch iteration to converge to several different solutions, even starting from the same initial guess. The deflated Jacobian is dense, but an efficient preconditioning strategy is devised, and the number of Krylov iterations is observed not to grow as solutions are deflated. The power of the approach is demonstrated on several problems from special functions, phase separation, differential geometry and fluid mechanics that permit distinct solutions.
Full work available at URL: https://arxiv.org/abs/1410.5620
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