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We develop a theoretical foundation for the application of Nesterov's accelerated gradient descent method (AGD) to the approximation of solutions of a wide class of partial differential equations (PDEs). This is achieved by proving the…

数值分析 · 数学 2021-02-03 Jea-Hyun Park , Abner J. Salgado , Steven M. Wise

Phase-field models are widely employed to simulate microstructure evolution during processes such as solidification or heat treatment. The resulting partial differential equations, often strongly coupled together, may be solved by a broad…

材料科学 · 物理学 2023-06-23 A. D. Boccardo , M. Tong , S. B. Leen , D. Tourret , J. Segurado

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

Computing stationary states is an important topic for phase field crystal (PFC) models. Great efforts have been made for energy dissipation of the numerical schemes when using gradient flows. However, it is always time-consuming due to the…

数值分析 · 数学 2019-09-04 Kai Jiang , Wei Si , Chenglong Bao

With the aim of efficiently simulating three-dimensional multiphase turbulent flows with a phase-field method, we propose a new discretization scheme for the biharmonic term (the 4th-order derivative term) of the Cahn-Hilliard equation.…

流体动力学 · 物理学 2022-05-24 Hao-Ran Liu , Chong Shen Ng , Kai Leong Chong , Detlef Lohse , Roberto Verzicco

We present and discuss the development of an unconditionally stable algorithm used to solve the evolution equations of the Phase Field Crystal (PFC) model. This algorithm allows for an arbitrarily large algorithmic time step. As the basis…

计算物理 · 物理学 2009-11-13 Mowei Cheng , James A. Warren

We introduce a perturbed preconditioned gradient descent (PPGD) method for the unconstrained minimization of a strongly convex objective $G$ with a locally Lipschitz continuous gradient. We assume that $G(v)=E(v)+F(v)$ and that the gradient…

最优化与控制 · 数学 2025-12-23 Jea-Hyun Park , Abner J. Salgado , Steven M. Wise

Finding the stationary states of a free energy functional is an important problem in phase field crystal (PFC) models. Many efforts have been devoted for designing numerical schemes with energy dissipation and mass conservation properties.…

数值分析 · 数学 2020-11-11 Kai Jiang , Wei Si , Chen Chang , Chenglong Bao

In this paper we analyze and implement a second-order-in-time numerical scheme for the three-dimensional phase field crystal (PFC) equation. The numerical scheme was proposed in [46], with the unique solvability and unconditional energy…

数值分析 · 数学 2016-11-22 Lixiu Dong , Wenqiang Feng , Cheng Wang , Steven M. Wise , Zhengru Zhang

In this paper, we propose a fast spectral-Galerkin method for solving PDEs involving integral fractional Laplacian in $\mathbb{R}^d$, which is built upon two essential components: (i) the Dunford-Taylor formulation of the fractional…

数值分析 · 数学 2019-08-28 Changtao Sheng , Jie Shen , Tao Tang , Li-Lian Wang , Huifang Yuan

Nesterov's accelerated gradient descent method (AGD) is a seminal deterministic first-order method known to achieve the optimal order of iteration complexity for solving convex smooth optimization problems. Two distinct sequences of…

最优化与控制 · 数学 2026-03-10 Yan Wu , Yipeng Zhang , Lu Liu , Yuyuan Ouyang

In this work, we develop an $\mathcal{O}(N)$ implicit real space method in 1D and 2D for the Cahn Hilliard (CH) and vector Cahn Hilliard (VCH) equations, based on the Method Of Lines Transpose (MOL$^\text{T}$) formulation. This formulation…

数值分析 · 数学 2016-11-15 Matthew Causley , Hana Cho , Andrew Christlieb

We consider fully discrete schemes based on the scalar auxiliary variable (SAV) approach and stabilized SAV approach in time and the Fourier-spectral method in space for the phase field crystal (PFC) equation. Unconditionally energy…

偏微分方程分析 · 数学 2019-07-18 Xiaoli Li , Jie Shen

We propose and analyse new stabilized time marching schemes for Phase Fields model such as Allen-Cahn and Cahn-Hillard equations, when discretized in space with high order finite differences compact schemes. The stabilization applies to…

数值分析 · 数学 2019-10-01 Matthieu Brachet , Jean-Paul Chehab

Fast Fourier Transform (FFT)-based solvers for the Poisson equation are highly efficient, exhibiting $O(N\log N)$ computational complexity and excellent parallelism. However, their application is typically restricted to simple, regular…

数值分析 · 数学 2025-09-30 Zichao Jiang , Jiacheng Lian , Zhuolin Wang

We present a variant of the s-step Preconditioned Conjugate Gradient (PCG) method that combines a Chebyshev-stabilized Krylov basis with a Forward Gauss-Seidel (FGS) iteration for the solution of the reduced Gram systems. In s-step…

数值分析 · 数学 2026-03-30 Pasqua D'Ambra , Massimo Bernaschi , Mauro G. Carrozzo , Stephen Thomas

In this paper, we construct and analyze an energy stable scheme by combining the latest developed scalar auxiliary variable (SAV) approach and linear finite element method (FEM) for phase field crystal (PFC) model, and show rigorously that…

数值分析 · 数学 2019-10-15 Liupeng Wang , Yunqing Huang , Kai Jiang

We propose two efficient energetic spectral-element methods in time for marching nonlinear gradient systems with the phase-field Allen--Cahn equation as an example: one fully implicit nonlinear method and one semi-implicit linear method.…

数值分析 · 数学 2026-05-06 Shiqin Liu , Haijun Yu

We develop a sketch-based factor reduction and a Nesterov-accelerated projected gradient algorithm (NPGA) with GPU acceleration, yielding a doubly accelerated solver for large-scale constrained mean-variance portfolio optimization. Starting…

最优化与控制 · 数学 2026-04-06 Yi-Shuai Niu , Yajuan Wang

Phase field crystals (PFC) are a tool for simulating materials at the atomic level. They combine the small length-scale resolution of molecular dynamics (MD) with the ability to simulate dynamics on mesoscopic time scales. We show how PFC…

材料科学 · 物理学 2015-05-13 P. F. Tupper , Martin Grant
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