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MaxCal is a variational principle that can be used to infer distributions of paths in the phase space of dynamical systems. It has been successfully applied to different areas of classical physics, in particular statistical mechanics in and…

Statistical Mechanics · Physics 2018-07-02 Ignacio J. General

This paper studies formulations of second-order elliptic partial differential equations in nondivergence form on convex domains as equivalent variational problems. The first formulation is that of Smears \& S\"uli [SIAM J.\ Numer.\ Anal.\…

Numerical Analysis · Mathematics 2017-01-17 Dietmar Gallistl

The inverse problem of the calculus of variations asks whether a given system of partial differential equations (PDEs) admits a variational formulation. We show that the existence of a presymplectic form in the variational bicomplex, when…

Mathematical Physics · Physics 2013-11-12 Igor Khavkine

We devise a new formulation for the vertex coloring problem. Different from other formulations, decision variables are associated with the pairs of vertices. Consequently, colors will be distinguishable. Although the objective function is…

Data Structures and Algorithms · Computer Science 2015-01-12 Tomomi Matsui , Noriyoshi Sukegawa , Atsushi Miyauchi

This paper is devoted to developing and applications of a generalized differential theory of variational analysis that allows us to work in incomplete normed spaces, without employing conventional variational techniques based on…

Optimization and Control · Mathematics 2020-11-17 Ashkan Mohammadi , Boris Mordukhovich

Several recent works have explored stochastic gradient methods for variational inference that exploit the geometry of the variational-parameter space. However, the theoretical properties of these methods are not well-understood and these…

Machine Learning · Statistics 2016-08-15 Mohammad Emtiyaz Khan , Reza Babanezhad , Wu Lin , Mark Schmidt , Masashi Sugiyama

This topical review describes the methodology of continuum variational and diffusion quantum Monte Carlo calculations. These stochastic methods are based on many-body wave functions and are capable of achieving very high accuracy. The…

Materials Science · Physics 2010-02-11 R. J. Needs , M. D. Towler , N. D. Drummond , P. Lopez Rios

Extremal optimization is a new general-purpose method for approximating solutions to hard optimization problems. We study the method in detail by way of the NP-hard graph partitioning problem. We discuss the scaling behavior of extremal…

Statistical Mechanics · Physics 2009-11-07 S. Boettcher , A. G. Percus

We employ surface differential calculus to derive models for Kirchhoff plates including in-plane membrane deformations. We also extend our formulation to structures of plates. For solving the resulting set of partial differential equations,…

Numerical Analysis · Mathematics 2017-02-15 Peter Hansbo , Mats G. Larson

In this paper, we delve into the fascinating realm of fractal calculus applied to fractal sets and fractal curves. Our study includes an exploration of the method analogues of the separable method and the integrating factor technique for…

General Mathematics · Mathematics 2023-10-26 Alireza Khalili Golmankhaneh , Donatella Bongiorno

We establish a microscopic convexity principle for nonlinear elliptic and parabolic partial differential equations in general form.

Analysis of PDEs · Mathematics 2015-05-13 Baojun Bian , Pengfei Guan

In this paper we develop new extremal principles in variational analysis that deal with finite and infinite systems of convex and nonconvex sets. The results obtained, unified under the name of tangential extremal principles, combine primal…

Optimization and Control · Mathematics 2011-01-24 Boris S. Mordukhovich , Hung M. Phan

We consider the numerical construction of minimal Lagrangian graphs, which is related to recent applications in materials science, molecular engineering, and theoretical physics. It is known that this problem can be formulated as an…

Numerical Analysis · Mathematics 2021-07-01 Brittany Froese Hamfeldt , Jacob Lesniewski

A gauge-invariant formulation of constrained variational calculus, based on the introduction of the bundle of affine scalars over the configuration manifold, is presented. In the resulting setup, the Lagrangian is replaced by a section of a…

Mathematical Physics · Physics 2012-10-17 Danilo Bruno , Gianvittorio Luria , Enrico Pagani

A graph theoretic perspective is taken for a range of phenomena in continuum physics in order to develop representations for analysis of large scale, high-fidelity solutions to these problems. Of interest are phenomena described by partial…

Computational Physics · Physics 2019-05-22 R. Banerjee , K. Sagiyama , G. H. Teichert , K. Garikipati

Starting from the Colombeau's full generalized functions, the sharp topologies and the notion of generalized points, we introduce a new kind differential calculus (for functions between totally disconnected spaces). We study generalized…

Classical Analysis and ODEs · Mathematics 2017-06-12 Wagner Cortes , Antonio R. G. Garcia , Severino H. da Silva

We review some techniques from non-linear analysis in order to investigate critical paths for the action functional in the calculus of variations applied to physics. Previous attempts to analyse when these are minima ex- ist, but mainly…

Mathematical Physics · Physics 2013-03-22 E. López , A. Molgado , J. A. Vallejo

We develop a finite element method for a large deformation membrane elasticity problem on meshed surfaces using a tangential differential calculus approach that avoids the use of classical differential geometric methods. The method is also…

Numerical Analysis · Mathematics 2014-10-30 Peter Hansbo , Mats G. Larson , Fredrik Larsson

We develop novel tools for computing the likelihood correspondence of an arrangement of hypersurfaces in a projective space. This uses the module of logarithmic derivations. This object is well-studied in the linear case, when the…

Commutative Algebra · Mathematics 2025-07-18 Thomas Kahle , Lukas Kühne , Leonie Mühlherr , Bernd Sturmfels , Maximilian Wiesmann

Fractional graph isomorphism is the linear relaxation of an integer programming formulation of graph isomorphism. It preserves some invariants of graphs, like degree sequences and equitable partitions, but it does not preserve others like…

Combinatorics · Mathematics 2020-08-20 Flavia Bonomo-Braberman , Dora Tilli