A modified split bregman algorithm for computing microstructures through young measures
Affiliation
Department of Mathematics, University of ArizonaIssue Date
2021
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Jaramillo, G., & Venkataramani, S. C. (2021). A modified split bregman algorithm for computing microstructures through young measures. Multiscale Modeling and Simulation, 19(2), 886–920.Rights
Copyright © by SIAM.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The goal of this paper is to describe the oscillatory microstructure that can emerge from minimizing sequences for nonconvex energies. We consider integral functionals that are defined on real valued (scalar) functions u(x) which are nonconvex in the gradient \nabla u and possibly also in u. To characterize the microstructures for these nonconvex energies, we minimize the associated relaxed energy using two novel approaches: (i) a semianalytical method based on control systems theory, (ii) and a numerical scheme that combines convex splitting together with a modified version of the split Bregman algorithm. These solutions are then used to gain information about minimizing sequences of the original problem and the spatial distribution of microstructure. © 2021 Society for Industrial and Applied Mathematics Publications. All rights reserved.Note
Immediate accessISSN
1540-3459Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1137/19M1306907
