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In this note we shall introduce a simple, effective numerical method for solving partial differential equations for scalar and vector-valued data defined on surfaces. Even though we shall follow the traditional way to approximate the…

Computational Geometry · Computer Science 2009-07-13 Sheng-Gwo Chen , Mei-Hsiu Chi , Jyh-Yang Wu

This paper studies exact semidefinite programming relaxations (SDPRs) for separable quadratically constrained quadratic programs (QCQPs). We consider the construction of a larger separable QCQP from multiple QCQPs with exact SDPRs. We show…

Optimization and Control · Mathematics 2026-04-06 Masakazu Kojima , Sunyoung Kim , Naohiko Arima

In this paper we establish for the first time local semiconvexity estimates for fully nonlinear equations and for obstacle problems driven by integro-differential operators with general kernels. Our proof is based on the Bernstein…

Analysis of PDEs · Mathematics 2024-11-05 Xavier Ros-Oton , Clara Torres-Latorre , Marvin Weidner

We consider the problem of numerically approximating the solutions to a partial differential equation (PDE) when there is insufficient information to determine a unique solution. Our main example is the Poisson boundary value problem, when…

Numerical Analysis · Mathematics 2023-12-21 Peter Binev , Andrea Bonito , Albert Cohen , Wolfgang Dahmen , Ronald DeVore , Guergana Petrova

We explore how the analysis of the Carleman linearization can be extended to dynamical systems on infinite-dimensional Hilbert spaces with quadratic nonlinearities. We demonstrate the well-posedness and convergence of the truncated Carleman…

Numerical Analysis · Mathematics 2025-10-02 Bernhard Heinzelreiter , John W. Pearson

We announce new existence and $\varepsilon$-regularity results for minimisers of the relaxation of strongly quasiconvex integrals that on smooth maps $u\colon\Omega\subset\mathbb{R}^{n}\to\mathbb{R}^{N}$ are defined by $$u\mapsto…

Analysis of PDEs · Mathematics 2019-03-20 Franz Gmeineder , Jan Kristensen

We present a new technique to apply finite element methods to partial differential equations over curved domains. A change of variables along a coordinate transformation satisfying only low regularity assumptions can translate a Poisson…

Numerical Analysis · Mathematics 2018-09-28 M. Holst , M. Licht

In a second seminal paper on the application of semidefinite programming to graph partitioning problems, Goemans and Williamson showed how to formulate and round a complex semidefinite program to give what is to date still the best-known…

Data Structures and Algorithms · Computer Science 2018-12-31 Alantha Newman

We introduce the concept of strong high-order approximate minimizers for nonconvex optimization problems. These apply in both standard smooth and composite non-smooth settings, and additionally allow convex or inexpensive constraints. An…

Optimization and Control · Mathematics 2020-01-30 Coralia Cartis , Nick Gould , Philippe L. Toint

We prove homogenization for degenerate viscous Hamilton-Jacobi equations in dimension one in stationary ergodic environments with a quasiconvex and superlinear Hamiltonian of fairly general type. We furthermore show that the effective…

Analysis of PDEs · Mathematics 2025-04-17 Andrea Davini

This paper generalizes the non-conforming FEM of Crouzeix and Raviart and its fundamental projection property by a novel mixed formulation for the Poisson problem based on the Helmholtz decomposition. The new formulation allows for ansatz…

Numerical Analysis · Mathematics 2016-01-25 Mira Schedensack

We refine the solvability of quadratic semimartingale BSDEs by employing a Lipschitz-quadratic regularization procedure. In the first step, we prove an existence and uniqueness result for a class of Lipschitz-quadratic BSDEs. A…

Probability · Mathematics 2017-10-02 Hanlin Yang

The numerical solution methods for partial differential equation (PDE) solution allow obtaining a discrete field that converges towards the solution if the method is applied to the correct problem. Nevertheless, the numerical methods…

Numerical Analysis · Mathematics 2021-03-04 Alexander Hvatov

Singular charge sources in terms of Dirac delta functions present a well-known numerical challenge for solving Poisson's equation. For a sharp interface between inhomogeneous media, singular charges could be analytically treated by…

Numerical Analysis · Mathematics 2019-10-02 Siwen Wang , Arum Lee , Emil Alexov , Shan Zhao

In the kernel density estimation (KDE) problem one is given a kernel $K(x, y)$ and a dataset $P$ of points in a Euclidean space, and must prepare a data structure that can quickly answer density queries: given a point $q$, output a…

Data Structures and Algorithms · Computer Science 2024-01-08 Moses Charikar , Michael Kapralov , Erik Waingarten

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 regularity and characterization of solutions to degenerate, quasilinear SPDE is studied. Our results are two-fold: First, we prove regularity results for solutions to certain degenerate, quasilinear SPDE driven by Lipschitz continuous…

Probability · Mathematics 2014-05-23 Benjamin Gess , Michael Röckner

We study seminormalization of affine complex varieties. We show that polynomials on the seminormalization correspond to the rational functions which are continuous for the Euclidean topology. We further study this type of functions which…

Algebraic Geometry · Mathematics 2022-04-08 François Bernard

We prove a partial regularity result for local minimizers of quasiconvex variational integrals with general growth. The main tool is an improved A-harmonic approximation, which should be interesting also for classical growth.

Analysis of PDEs · Mathematics 2012-05-14 Lars Diening , Daniel Lengeler , Bianca Stroffolini , Anna Verde

We propose a general convex optimization problem for computing regularized geodesic distances. We show that under mild conditions on the regularizer the problem is well posed. We propose three different regularizers and provide analytical…

Graphics · Computer Science 2023-05-23 Michal Edelstein , Nestor Guillen , Justin Solomon , Mirela Ben-Chen
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