James H. von Brecht
University of California, Los Angeles
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Publication
Featured researches published by James H. von Brecht.
Journal of Computational Physics | 2010
Jacob Bedrossian; James H. von Brecht; Siwei Zhu; Eftychios Sifakis; Joseph Teran
We present a second order accurate, geometrically flexible and easy to implement method for solving the variable coefficient Poisson equation with interfacial discontinuities or on irregular domains, handling both cases with the same approach. We discretize the equations using an embedded approach on a uniform Cartesian grid employing virtual nodes at interfaces and boundaries. A variational method is used to define numerical stencils near these special virtual nodes and a Lagrange multiplier approach is used to enforce jump conditions and Dirichlet boundary conditions. Our combination of these two aspects yields a symmetric positive definite discretization. In the general case, we obtain the standard 5-point stencil away from the interface. For the specific case of interface problems with continuous coefficients, we present a discontinuity removal technique that admits use of the standard 5-point finite difference stencil everywhere in the domain. Numerical experiments indicate second order accuracy in L^~.
Mathematical Models and Methods in Applied Sciences | 2012
James H. von Brecht; David Uminsky; Theodore Kolokolnikov
Large systems of particles interacting pairwise in d dimensions give rise to extraordinarily rich patterns. These patterns generally occur in two types. On one hand, the particles may concentrate on a co-dimension one manifold such as a sphere (in 3D) or a ring (in 2D). Localized, space-filling, co-dimension zero patterns can occur as well. In this paper, we utilize a dynamical systems approach to predict such behaviors in a given system of particles. More specifically, we develop a nonlocal linear stability analysis for particles uniformly distributed on a d - 1 sphere. Remarkably, the linear theory accurately characterizes the patterns in the ground states from the instabilities in the pairwise potential. This aspect of the theory then allows us to address the issue of inverse statistical mechanics in self-assembly: given a ground state exhibiting certain instabilities, we construct a potential that corresponds to such a pattern.
neural information processing systems | 2013
Xavier Bresson; Thomas Laurent; David Uminsky; James H. von Brecht
Journal of Nonlinear Science | 2012
James H. von Brecht; David Uminsky
neural information processing systems | 2012
Xavier Bresson; Thomas Laurent; David Uminsky; James H. von Brecht
Journal of Statistical Physics | 2013
James H. von Brecht; Theodore Kolokolnikov; Andrea L. Bertozzi; Hui Sun
Archive | 2009
Jacob Bedrossian; James H. von Brecht; Siwei Zhu; Eftychios Sifakis; Joseph Teran
Communications in Mathematical Physics | 2013
James H. von Brecht; Andrea L. Bertozzi
arXiv: Optimization and Control | 2013
Xavier Bresson; Thomas Laurent; David Uminsky; James H. von Brecht
arXiv: Machine Learning | 2014
Xavier Bresson; Huiyi Hu; Thomas Laurent; Arthur Szlam; James H. von Brecht