A modified split bregman algorithm for computing microstructures through young measures

Gabriela Jaramillo, Shankar C. Venkataramani

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)886-920
Number of pages35
JournalMultiscale Modeling and Simulation
Volume19
Issue number2
DOIs
StatePublished - 2021

Keywords

  • Microstructure
  • Nonconvex Energies
  • Split Bregman Algorithm
  • Young Measures

ASJC Scopus subject areas

  • Chemistry(all)
  • Modeling and Simulation
  • Ecological Modeling
  • Physics and Astronomy(all)
  • Computer Science Applications

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