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In this work, we propose and analyze a residual-minimization strategy for the numerical solution of nonlinear PDEs posed in Banach spaces. Given a finite-dimensional trial space and a suitably enriched discrete test space (of higher…

数值分析 · 数学 2026-04-02 Ignacio Muga , Jorge Perera , Sergio Rojas , Ricardo Ruiz-Baier

We propose a nonlinear Discrete Duality Finite Volume scheme to approximate the solutions of drift diffusion equations. The scheme is built to preserve at the discrete level even on severely distorted meshes the energy / energy dissipation…

偏微分方程分析 · 数学 2017-05-31 Clément Cancès , Claire Chainais-Hillairet , Stella Krell

In this paper we propose a solution strategy for the Cahn-Larch\'e equations, which is a model for linearized elasticity in a medium with two elastic phases that evolve subject to a Ginzburg-Landau type energy functional. The system can be…

We consider determining the $\R$-minimizing solution of ill-posed problem $A x = y$ for a bounded linear operator $A: X \to Y$ from a Banach space $X$ to a Hilbert space $Y$, where $\R: X \to (-\infty, \infty]$ is a strongly convex…

数值分析 · 数学 2024-04-09 Qinian Jin , Wei Wang

In this work, we approach the minimization of a continuously differentiable convex function under linear equality constraints by a second-order dynamical system with asymptotically vanishing damping term. The system is formulated in terms…

最优化与控制 · 数学 2021-06-24 Radu Ioan Bot , Dang-Khoa Nguyen

We are concerned with the study of the well-posedness of a nonlinear diffusion equation with a monotonically increasing multivalued time-dependent nonlinearity derived from a convex continuous potential having a superlinear growth to…

偏微分方程分析 · 数学 2013-07-09 Gabriela Marinoschi

This paper presents a stochastic block-coordinate proximal Newton method for minimizing the sum of a blockwise Lipschitz-continuously differentiable function and a separable nonsmooth convex function. At each iteration, the method randomly…

最优化与控制 · 数学 2026-03-25 Hong Zhu , Xun Qian

We consider determining $\R$-minimizing solutions of linear ill-posed problems $A x = y$, where $A: {\mathscr X} \to {\mathscr Y}$ is a bounded linear operator from a Banach space ${\mathscr X}$ to a Hilbert space ${\mathscr Y}$ and…

数值分析 · 数学 2023-07-05 Qinian Jin , Wei Wang

In three space dimensions, we consider the compressible inviscid model describing the time evolution of two fluids sharing the same velocity and enjoying the algebraic pressure closure. By employing the technique of convex integration, we…

偏微分方程分析 · 数学 2019-12-24 Yang Li , Ewelina Zatorska

In this paper we propose and analyse a new formulation and pointwise divergence-free mixed finite element methods for the numerical approximation of Darcy--Brinkman equations in vorticity--velocity--pressure form, coupled with a transport…

数值分析 · 数学 2024-07-04 Russel Demos , Rashmi Dubey , Ricardo Ruiz-Baier , Segundo Villa-Fuentes

The goal of this paper is to prove a comparison principle for viscosity solutions of semilinear Hamilton-Jacobi equations in the space of probability measures. The method involves leveraging differentiability properties of the…

偏微分方程分析 · 数学 2023-08-30 Samuel Daudin , Benjamin Seeger

This article develops a numerical approximation of a convex non-local and non-smooth minimization problem. The physical problem involves determining the optimal distribution, given by $h\colon \Gamma_I\to [0,+\infty)$, of a given amount…

数值分析 · 数学 2025-05-08 Harbir Antil , Alex Kaltenbach , Keegan L. A. Kirk

We use a variational approach to study existence and regularity of solutions for a Neumann $p$-Laplacian problem with a reaction term on metric spaces equipped with a doubling measure and supporting a Poincar\'e inequality. Trace theorems…

偏微分方程分析 · 数学 2023-09-25 Antonella Nastasi

This paper proposes a universal algorithm for convex minimization problems of the composite form $g_0(x)+h(g_1(x),\dots, g_m(x)) + u(x)$. We allow each $g_j$ to independently range from being nonsmooth Lipschitz to smooth, from convex to…

最优化与控制 · 数学 2026-01-15 Aaron Zoll , Benjamin Grimmer

In optimization the duality gap between the primal and the dual problems is a measure of the suboptimality of any primal-dual point. In classical mechanics the equations of motion of a system can be derived from the Hamiltonian function,…

最优化与控制 · 数学 2019-11-19 Brendan O'Donoghue , Chris J. Maddison

In this paper we analyze a broad class of abstract doubly nonlinear evolution equations in Banach spaces, driven by nonsmooth and nonconvex energies. We provide some general sufficient conditions, on the dissipation potential and the energy…

偏微分方程分析 · 数学 2014-09-16 Alexander Mielke , Riccarda Rossi , Giuseppe Savare'

When a physical system is modeled by a nonlinear function, the unknown parameters can be estimated by fitting experimental observations by a least-squares approach. Newton's method and its variants are often used to solve problems of this…

数值分析 · 数学 2021-09-20 Federica Pes , Giuseppe Rodriguez

This paper studies the properties of solutions for a double nonlinear time-dependent parabolic equation with variable density, not in divergence form with a source or absorption. The problem is formulated as a partial differential equation…

偏微分方程分析 · 数学 2025-07-03 Mersiad Aripov , Makhmud Bobokandov

We formulate bang-bang, purification, and minimization principles in dual Banach spaces with Gelfand integrals and provide a complete characterization of the saturation property of finite measure spaces. We also present a new application of…

泛函分析 · 数学 2017-05-05 Nobusumi Sagara

In the context of Discontinuous Galerkin methods, we study approximations of nonlinear variational problems associated with convex energies. We propose element-wise nonconforming finite element methods to discretize the continuous…