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We investigate convexification for convex quadratic optimization with step function penalties. Such problems can be cast as mixed-integer quadratic optimization problems, where binary variables are used to encode the non-convex step…

Optimization and Control · Mathematics 2025-04-24 Soobin Choi , Valentina Cepeda , Andres Gomez , Shaoning Han

We investigate the behavior of integral formulations of variable coefficient elliptic partial differential equations (PDEs) in the presence of steep internal layers. In one dimension, the equations that arise can be solved analytically and…

Numerical Analysis · Mathematics 2013-05-31 Travis Askham , Leslie Greengard

The vortex filament equations (VFE) in 1+1 and 2+1 dimensions are considered. Some of these equations are integrable. Also the VFE with potentials and with self-consistent potentials are presented. Finally several examples of integrable…

Fluid Dynamics · Physics 2007-05-23 R. Myrzakulov

A new approximation format for solutions of partial differential equations depending on infinitely many parameters is introduced. By combining low-rank tensor approximation in a selected subset of variables with a sparse polynomial…

Numerical Analysis · Mathematics 2025-06-25 Markus Bachmayr , Huqing Yang

We obtain approximate convexity principles for solutions to some classes of nonlinear elliptic partial differential equations in convex domains involving approximately concave nonlinearities. Furthermore, we provide some applications to…

Analysis of PDEs · Mathematics 2019-02-19 Claudia Bucur , Marco Squassina

The paper represents the method for construction of the families of particular solutions to some new classes of $(n+1)$ dimensional nonlinear Partial Differential Equations (PDE). Method is based on the specific link between algebraic…

Exactly Solvable and Integrable Systems · Physics 2009-11-10 A. I. Zenchuk

In this paper we obtain sharp weighted estimates for solutions of the $\partial$-equation in a lineally convex domains of finite type. Precisely we obtain estimates in spaces of the form L p ({\Omega},$\delta$ $\gamma$), $\delta$ being the…

Complex Variables · Mathematics 2016-05-10 Philippe Charpentier , Y Dupain , M Mounkaila

Recently, [arXiv:2311.08980] demonstrated that, if it exists, the limit free energy of possibly non-convex spin glass models must be determined by a characteristic of the associated infinite-dimensional non-convex Hamilton-Jacobi equation.…

Analysis of PDEs · Mathematics 2025-09-10 Hong-Bin Chen

We develop a geometrically intrinsic formulation of the arbitrary-order Virtual Element Method (VEM) on polygonal cells for the numerical solution of elliptic surface partial differential equations (PDEs). The PDE is first written in…

Numerical Analysis · Mathematics 2021-05-07 Elena Bachini , Gianmarco Manzini , Mario Putti

The recent results of An, Luan, and Yen [Differential stability in convex optimization via generalized polyhedrality. Vietnam J. Math. https://-doi.org/10.1007/s10013-024-00721-y] on differential stability of parametric optimization…

Optimization and Control · Mathematics 2024-12-17 Nguyen Dong Yen , Duong Thi Viet An , Vu Thi Huong , Nguyen Ngoc Luan

Path-dependent PDEs (PPDEs) are natural objects to study when one deals with non Markovian models. Recently, after the introduction of the so-called pathwise (or functional or Dupire) calculus (see [15]), in the case of finite-dimensional…

Probability · Mathematics 2017-03-07 Andrea Cosso , Salvatore Federico , Fausto Gozzi , Mauro Rosestolato , Nizar Touzi

This work is concerned with the quantification of the epistemic uncertainties induced the discretization of partial differential equations. Following the paradigm of probabilistic numerics, we quantify this uncertainty probabilistically.…

Probability · Mathematics 2016-07-14 Ilias Bilionis

Recently in a series of articles, Barron, Goebel, and Jensen \cite{barron2012functions} \cite{barron2012quasiconvex} \cite{barron2013quasiconvex} \cite{barron2013uniqueness} have studied second order degenerate elliptic PDE and first order…

Numerical Analysis · Mathematics 2016-12-19 Bilal Abbasi , Adam M. Oberman

In multi-phase fluid flow, fluid-structure interaction, and other applications, partial differential equations (PDEs) often arise with discontinuous coefficients and singular sources (e.g., Dirac delta functions). These complexities arise…

Numerical Analysis · Mathematics 2019-07-24 Chung-Nan Tzou , Samuel Stechmann

With a view on bilevel and PDE-constrained optimisation, we develop iterative estimates $\widetilde{F'}(x^k)$ of $F'(x^k)$ for composite functions $F :=J \circ S$, where $S$ is the solution mapping of the inner optimisation problem or PDE.…

Optimization and Control · Mathematics 2026-04-02 Neil Dizon , Tuomo Valkonen

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

The paper deals with second order abstract linear partial differential equations (LPDE) over a partial differential field with two commuting differential operators. In terms of usual differential equations the main content can be presented…

Analysis of PDEs · Mathematics 2018-08-01 U. Bekbaev

We consider the volumetric-isochoric split in planar isotropic hyperelasticity and give a precise analysis of rank-one convexity criteria for this case, showing that the Legendre-Hadamard ellipticity condition separates and simplifies in a…

Analysis of PDEs · Mathematics 2020-08-12 Jendrik Voss , Ionel-Dumitrel Ghiba , Robert J. Martin , Patrizio Neff

In this article two implementations of a symmetric finite difference algorithm for a first-order partial differential equation are discussed. The considered partial differential equation discribes the time evolution of the crack length…

Computational Engineering, Finance, and Science · Computer Science 2007-05-23 Heiko Herrmann , Gunnar Rueckner

Enumeration of various types of lattice polygons and in particular polyominoes is of primary importance in many machine learning, pattern recognition, and geometric analysis problems. In this work, we develop a large deviation principle for…

Probability · Mathematics 2018-04-20 Ilya Soloveychik , Vahid Tarokh