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We propose a Deep-Picard iteration framework for high-dimensional nonlinear space-time fractional diffusion equations.The method is based on a nonlinear fractional Feynman--Kac fixed-point formulation, which replaces direct discretization…

数值分析 · 数学 2026-05-04 Zhijun Zeng , Zhitong Chen , Ling Qin , Yi Zhu

Quantum algorithms for partial differential equations (PDEs) face severe practical constraints on near-term hardware: limited qubit counts restrict spatial resolution to coarse grids, while circuit depth limitations prevent accurate…

机器学习 · 计算机科学 2025-12-08 Bruno Jacob , Amanda A. Howard , Panos Stinis

We propose a methodology to address two analysis problems concerning complex systems, namely bounding state functionals of stochastic differential equations (SDEs) and verifying set avoidance of systems described by partial differential…

最优化与控制 · 数学 2016-03-30 Mohamadreza Ahmadi , Giorgio Valmorbida , Antonis Papachristodoulou

We present a new discretization method for homogeneous convection-diffusion-reaction boundary value problems in 3D that is a non-standard finite element method with PDE-harmonic shape functions on polyhedral elements. The element stiffness…

数值分析 · 数学 2017-08-29 Clemens Hofreither , Ulrich Langer , Steffen Weißer

Particle breakage due to collisional interactions plays a vital role in the development of several phenomena in science and engineering. The nonlinear collisional breakage equations (NCBEs) are a significant set of equations in this…

数值分析 · 数学 2026-04-14 Arushi Arushi , Naresh Kumar

In fractured natural formations, the equations governing fluid flow and geomechanics are strongly coupled. Hydrodynamical properties depend on the mechanical configuration, and they are therefore difficult to accurately resolve using…

数值分析 · 数学 2021-04-07 Matteo Cusini , Joshua A. White , Nicola Castelletto , Randolph R. Settgast

Equation systems resulting from a p-version FEM discretisation typically require a special treatment as iterative solvers are not very efficient here. Applying hierarchical concepts based on a nested dissection approach allow for both the…

分布式、并行与集群计算 · 计算机科学 2018-07-03 Ralf-Peter Mundani , Alexander Düster , Jovana Knežević , Andreas Niggl , Ernst Rank

We propose and analyze computationally a new fictitious domain method, based on higher order space-time finite element discretizations, for the simulation of the nonstationary, incompressible Navier-Stokes equations on evolving domains. The…

数值分析 · 数学 2022-06-22 Mathias Anselmann , Markus Bause

The numerical solution of large-scale PDEs, such as those occurring in data-driven applications, unavoidably require powerful parallel computers and tailored parallel algorithms to make the best possible use of them. In fact, considerations…

数值分析 · 数学 2017-05-11 Francisco Bernal , Gonçalo dos Reis , Greig Smith

It is well known that the discretization of fractional diffusion equations (FDEs) with fractional derivatives $\alpha\in(1,2)$, using the so-called weighted and shifted Gr\"unwald formula, leads to linear systems whose coefficient matrices…

数值分析 · 数学 2022-04-06 Nikos Barakitis , Sven-Erik Ekström , Paris Vassalos

We discuss certain basic features of the equation-free (EF) approach to modeling and computation for complex/multiscale systems. We focus on links between the equation-free approach and tools from systems and control theory (design of…

元胞自动机与格子气 · 物理学 2007-05-23 C. I. Siettos , R. Rico-Martinez , I. G. kevrekidis

In the present paper, a flexible and parsimonious model of the vibrations of nonlinear mechanical systems is introduced in the form of state-space equations. It is shown that the nonlinear model terms can be formed using a limited number of…

系统与控制 · 计算机科学 2016-10-31 Jean-Philippe Noël , Johan Schoukens , Gaetan Kerschen

The state-of-the art proof of a global inf-sup condition on mixed finite element schemes does not allow for an analysis of truly indefinite, second-order linear elliptic PDEs. This paper, therefore, first analyses a nonconforming finite…

数值分析 · 数学 2014-01-21 Carsten Carstensen , Asha K. Dond , Neela Nataraj , Amiya K. Pani

We present a methodology combining neural networks with physical principle constraints in the form of partial differential equations (PDEs). The approach allows to train neural networks while respecting the PDEs as a strong constraint in…

数值分析 · 数学 2021-09-06 Sebastian K. Mitusch , Simon W. Funke , Miroslav Kuchta

The convolution method for the numerical solution of forward-backward stochastic differential equations (FBSDEs), introduced in [21], uses a uniform space grid. In this paper we utilize a tree-like spatial discretization that approximates…

计算金融 · 定量金融 2022-05-23 Polynice Oyono Ngou , Cody Hyndman

Symbolic data structures for model checking timed systems have been subject to a significant research, with Difference Bound Matrices (DBMs) still being the preferred data structure in several mature verification tools. In comparison,…

数据结构与算法 · 计算机科学 2012-11-28 Kenneth Y. Jørgensen , Kim G. Larsen , Jiří Srba

We develop a preconditioner for the linear system arising from a finite element discretization of the Phase Field Crystal (PFC) equation. The PFC model serves as an atomic description of crystalline materials on diffusive time scales and…

计算物理 · 物理学 2015-08-27 Simon Praetorius , Axel Voigt

In this chapter we provide an introduction to fractional dissipative partial differential equations (PDEs) with a focus on trying to understand their dynamics. The class of PDEs we focus on are reaction-diffusion equations but we also…

\textbf{FlexBox} is a flexible MATLAB toolbox for finite dimensional convex variational problems in image processing and beyond. Such problems often consist of non-differentiable parts and involve linear operators. The toolbox uses a…

最优化与控制 · 数学 2016-07-21 Hendrik Dirks

In this paper, we are interested in an efficient numerical method for the mixed-dimensional approach to modeling single-phase flow in fractured porous media. The model introduces fractures and their intersections as lower-dimensional…

数值分析 · 数学 2019-06-03 Ana Budiša , Xiaozhe Hu