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We apply the stabilization technique, developed by T. Zelenyak in 1960s for parabolic equations, on curve shortening flow in $\R^3$, and derive several new monotonicity formulas. All of them share one main feature: the dependence of the…

偏微分方程分析 · 数学 2022-09-16 Hayk Mikayelyan

We propose to use the {\L}ojasiewicz inequality as a general tool for analyzing the convergence rate of gradient descent on a Hilbert manifold, without resorting to the continuous gradient flow. Using this tool, we show that a Sobolev…

数值分析 · 数学 2021-05-21 Ziyun Zhang

We consider multi-gradient fluids endowed with a volumetric internal energy which is a function of mass density, volumetric entropy and their successive gradients. We obtained the thermodynamic forms of equation of motions and equation of…

经典物理 · 物理学 2018-12-19 Henri Gouin

Different variants of approximate inverse iteration like the locally optimal block preconditioned conjugate gradient method became in recent years increasingly popular for the solution of the large matrix eigenvalue problems arising from…

数值分析 · 数学 2016-11-15 Harry Yserentant

In a Hilbert framework, for convex differentiable optimization, we consider accelerated gradient methods obtained by combining temporal scaling and averaging techniques with Tikhonov regularization. We start from the continuous steepest…

最优化与控制 · 数学 2022-11-21 Hedy Attouch , Zaki Chbani , Hassan Riahi

Gradient schemes is a framework that enables the unified convergence analysis of many numerical methods for elliptic and parabolic partial differential equations: conforming and non-conforming Finite Element, Mixed Finite Element and Finite…

数值分析 · 数学 2020-03-23 Jerome Droniou , Robert Eymard

This paper explores variants of the subspace iteration algorithm for computing approximate invariant subspaces. The standard subspace iteration approach is revisited and new variants that exploit gradient-type techniques combined with a…

数值分析 · 数学 2024-05-14 Foivos Alimisis , Yousef Saad , Bart Vandereycken

Treating optimization methods as dynamical systems can be traced back centuries ago in order to comprehend the notions and behaviors of optimization methods. Lately, this mind set has become the driving force to design new optimization…

最优化与控制 · 数学 2019-09-24 Arman Sharifi Kolarijani , Peyman Mohajerin Esfahani , Tamás Keviczky

In a recent result by the authors (ref. [1]) it was proved that solutions of the self-similar fragmentation equation converge to equilibrium exponentially fast. This was done by showing a spectral gap in weighted $L^2$ spaces of the…

偏微分方程分析 · 数学 2011-12-06 María J. Cáceres , José A. Cañizo , Stéphane Mischler

We uncover the gradient structure to investigate the convergence of solutions in nonlocal nonlinear dynamical systems. Mainly but not exclusively, we use the Lojasiewicz inequality to prove convergence results in various spaces with…

偏微分方程分析 · 数学 2022-05-20 Won Eui Hong

We study the numerical approximation by space-time finite element methods of a multi-physics system coupling hyperbolic elastodynamics with parabolic transport and modeling poro- and thermoelasticity. The equations are rewritten as a…

数值分析 · 数学 2023-02-14 Markus Bause , Mathias Anselmann , Uwe Köcher , Florin A. Radu

We consider an implicit finite difference scheme on uniform grids in time and space for the Cauchy problem for a second order parabolic stochastic partial differential equation where the parabolicity condition is allowed to degenerate. Such…

数值分析 · 数学 2016-08-29 Eric Joseph Hall

High-order spatial discretisations and full discretisations of parabolic partial differential equations on evolving surfaces are studied. We prove convergence of the high-order evolving surface finite element method, by showing high-order…

数值分析 · 数学 2016-06-24 Balázs Kovács

Systems of parabolic, possibly degenerate parabolic SPDEs are considered. Existence and uniqueness are established in Sobolev spaces. Similar results are obtained for a class of equations generalizing the deterministic first order symmetric…

偏微分方程分析 · 数学 2019-03-14 Máté Gerencsér , István Gyöngy , Nicolai Krylov

We study the convergence of the gradient descent method for solving ill-posed problems where the solution is characterized as a global minimum of a differentiable functional in a Hilbert space. The classical least-squares functional for…

数值分析 · 数学 2016-06-02 Stefan Kindermann

Gradient descent generalises naturally to Riemannian manifolds, and to hyperbolic $n$-space, in particular. Namely, having calculated the gradient at the point on the manifold representing the model parameters, the updated point is obtained…

最优化与控制 · 数学 2018-08-14 Benjamin Wilson , Matthias Leimeister

In this paper, we introduce, in a Hilbert space setting, a second order dynamical system with asymptotically vanishing damping and vanishing Tikhonov regularization that approaches a multiobjective optimization problem with convex and…

最优化与控制 · 数学 2025-06-30 Radu Ioan Bot , Konstantin Sonntag

We give sufficient conditions under which the convergence of finite difference approximations in the space variable of possibly degenerate second order parabolic and elliptic equations can be accelerated to any given order of convergence by…

偏微分方程分析 · 数学 2009-05-21 I. Gyongy , N. Krylov

We consider an ordinary differential equation with a unique hyperbolic attractor at the origin, to which we add a small random perturbation. It is known that under general conditions, the solution of this stochastic differential equation…

概率论 · 数学 2023-05-05 Gerardo Barrera , Milton Jara

This paper deals with a Tikhonov regularized second-order inertial dynamical system that incorporates time scaling, asymptotically vanishing damping and Hessian-driven damping for solving convex optimization problems. Under appropriate…

最优化与控制 · 数学 2026-04-30 Xiangkai Sun , Guoxiang Tian , Huan Zhang
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