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We introduce a monotone (degenerate elliptic) discretization of the Monge-Ampere operator, on domains discretized on cartesian grids. The scheme is consistent provided the solution hessian condition number is uniformly bounded. Our approach…

Numerical Analysis · Mathematics 2015-03-04 Jean-Marie Mirebeau

In this paper, we propose a new finite element approach, which is different than the classic Babuska-Osborn theory, to approximate Dirichlet eigenvalues. The Dirichlet eigenvalue problem is formulated as the eigenvalue problem of a…

Numerical Analysis · Mathematics 2020-01-16 Wenqiang Xiao , Bo Gong , Jiguang Sun , Zhimin Zhang

In this paper we analyze a nonconforming virtual element method to approximate the eigenfunctions and eigenvalues of the two dimensional Oseen eigenvalue problem. The spaces under consideration lead to a divergence-free method which is…

Numerical Analysis · Mathematics 2024-12-24 Dibyendu Adak , Felipe Lepe , Gonzalo Rivera

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

This paper develops a fully discrete modified characteristic finite element method for a coupled system consisting of the fully nonlinear Monge-Amp\'ere equation and a transport equation. The system is the Eulerian formulation in the dual…

Numerical Analysis · Mathematics 2008-10-09 Xiaobing Feng , Michael Neilan

We introduce novel a posteriori error indicators for a nonlinear least-squares solver for smooth solutions of the Monge--Amp\`ere equation on convex polygonal domains in $\mathbb{R}^2$. At each iteration, our iterative scheme decouples the…

Numerical Analysis · Mathematics 2025-09-09 Alexandre Caboussat , Anna Peruso , Marco Picasso

We present numerical upscaling techniques for a class of linear second-order self-adjoint elliptic partial differential operators (or their high-resolution finite element discretization). As prototypes for the application of our theory we…

Numerical Analysis · Mathematics 2014-09-11 Axel Malqvist , Daniel Peterseim

The goal of this work is to illustrate the application of the nonvariational finite element method to a specific Monge--Amp\`ere type nonlinear partial differential equation. The equation we consider is that of prescribed Gauss curvature.

Numerical Analysis · Mathematics 2012-03-06 Tristan Pryer

In this paper, we study existence, regularity, classification, and asymptotical behaviors of solutions of some Monge-Amp\`ere equations with isolated and line singularities. We classify all solutions of $\det \nabla^2 u=1$ in $\R^n$ with…

Analysis of PDEs · Mathematics 2016-01-12 Tianling Jin , Jingang Xiong

We propose an extension to our monotone and convergent method for the Monge-Amp\`{e}re equation in dimension $d \geq2$, that incorporates the idea of filtered schemes. The method combines our original monotone operator with a more accurate…

Numerical Analysis · Mathematics 2018-07-16 Ricardo H. Nochetto , Dimitrios Ntogkas

The existence and multiplicity and nonexistence of nontrivial radial convex solutions of systems of Monge-Amp\`ere equations are established with superlinearity or sublinearity assumptions for an appropriately chosen parameter. The proof of…

Analysis of PDEs · Mathematics 2010-10-13 Haiyan Wang

We consider the study of a numerical scheme for an initial- and Dirichlet boundary- value problem for a nonlinear Schr\"odinger equation. We approximate the solution using a, local (non-uniform) two level scheme in time (see C. Besse [6]…

Numerical Analysis · Mathematics 2017-11-02 Mohammad Asadzadeh , Christoffer Standar

In this paper we develop adaptive numerical schemes for certain nonlinear variational problems. The discretization of the variational problems is done by representing the solution as a suitable frame decomposition, i.e., a complete, stable,…

Numerical Analysis · Mathematics 2007-05-23 M. Charina , C. Conti , M. Fornasier

The purpose of this paper is to analyze an efficient method for the solution of the nonlinear system resulting from the discretization of the elliptic Monge-Amp\`ere equation by a $C^0$ interior penalty method with Lagrange finite elements.…

Numerical Analysis · Mathematics 2018-04-13 Gerard Awanou , Hengguang Li , Eric Malitz

In this paper, we propose and analyze a mixed virtual element method for the approximation of the eigenvalues and eigenfunctions of the two-dimensional elasticity eigenvalue problem. Under standard assumptions on polygonal meshes, we prove…

Numerical Analysis · Mathematics 2026-03-24 Felipe Lepe , Gonzalo Rivera

We introduce non conforming virtual elements to approximate the eigenvalues and eigenfunctions of the two dimensional acoustic vibration problem. We focus our attention on the pressure formulation of the acoustic vibration problem in order…

Numerical Analysis · Mathematics 2023-12-21 Danilo Amigo , Felipe Lepe , Gonzalo Rivera

This paper introduces a fast and robust iterative scheme for the elliptic Monge-Amp\`ere equation with Dirichlet boundary conditions. The Monge-Amp\`ere equation is a nonlinear and degenerate equation, with applications in optimal…

Numerical Analysis · Mathematics 2025-09-16 R. N. Köhle , K. T. W. Menting , K. Mitra , J. H. M. ten Thije Boonkkamp

We describe a strategy for solving nonlinear eigenproblems numerically. Our approach is based on the approximation of a vector-valued function, defined as solution of a non-homogeneous version of the eigenproblem. This approximation step is…

Numerical Analysis · Mathematics 2023-12-06 Davide Pradovera

In this paper, we establish local and global regularity estimates for linearized Monge-Amp\`ere equations in divergence form via critical Lorentz space estimates for the Green's function of the linearized Monge-Amp\`ere operator and its…

Analysis of PDEs · Mathematics 2025-11-20 Chong Gu , Nam Q. Le

We propose a new method to solve eigenvalue problems for linear and semilinear second order differential operators in high dimensions based on deep neural networks. The eigenvalue problem is reformulated as a fixed point problem of the…

Machine Learning · Computer Science 2020-10-28 Jiequn Han , Jianfeng Lu , Mo Zhou