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Standard explicit schemes for parabolic equations are not very convenient for computing practice due to the fact that they have strong restrictions on a time step. More promising explicit schemes are associated with explicit-implicit…

Numerical Analysis · Computer Science 2013-10-16 Petr N. Vabishchevich

We present a parametric family of semi-implicit second order accurate numerical methods for non-conservative and conservative advection equation for which the numerical solutions can be obtained in a fixed number of forward and backward…

Numerical Analysis · Mathematics 2023-12-01 Peter Frolkovič , Svetlana Krišková , Michaela Rohová , Michal Žeravý

Separation of variables (SoV) is an extremely efficient and elegant technique for analysing physical systems but its application to integrable spin chains was limited until recently to the simplest su(2) cases. In this paper we continue…

High Energy Physics - Theory · Physics 2020-09-24 Nikolay Gromov , Fedor Levkovich-Maslyuk , Paul Ryan , Dmytro Volin

The phase field method is an effective tool for modeling microstructure evolution in materials. Many efficient implicit numerical solvers have been proposed for phase field simulations under uniform and time-invariant model parameters. We…

Numerical Analysis · Mathematics 2024-01-23 Zirui Mao , G. R. Liu , Michael J. Demkowicz

This is one of our series works on discrete energy analysis of the variable-step BDF schemes. In this part, we present stability and convergence analysis of the third-order BDF (BDF3) schemes with variable steps for linear diffusion…

Numerical Analysis · Mathematics 2024-04-24 Hong-lin Liao , Tao Tang , Tao Zhou

In this work, we present a conditionally stable finite-difference scheme that consistently approximates the solution of a general class of (3+1)-dimensional nonlinear equations that generalizes in various ways the quantitative model…

Numerical Analysis · Mathematics 2011-12-26 J. E. Macías-Díaz , A. Puri

Based on the equivalence of A-stability and G-stability, the energy technique of the six-step BDF method for the heat equation has been discussed in [Akrivis, Chen, Yu, Zhou, Math. Comp., Revised]. Unfortunately, this theory is hard to…

Numerical Analysis · Mathematics 2023-06-27 Minghua Chen , Fan Yu , Zhi Zhou

Procedures to recover explicitly discrete and continuous skew-selfadjoint Dirac systems on semi-axis from rational Weyl matrix functions are considered. Their stability is shown. Some new facts on asymptotics of pseudo-exponential…

Spectral Theory · Mathematics 2018-03-20 B. Fritzsche , B. Kirstein , I. Ya. Roitberg , A. L. Sakhnovich

In this work, we investigate the two-step backward differentiation formula (BDF2) with nonuniform grids for the Allen-Cahn equation. We show that the nonuniform BDF2 scheme is energy stable under the time-step ratio restriction…

Numerical Analysis · Mathematics 2022-01-05 Hong-lin Liao , Tao Tang , Tao Zhou

It is a very common practice to use semi-implicit schemes in various computations, which treat selected linear terms implicitly and the nonlinear terms explicitly. For phase-field equations, the principal elliptic operator is treated…

Numerical Analysis · Mathematics 2020-06-15 Tao Tang

The Smectic-A (SmA) phase is modeled by a modified Landau-de Gennes (mLdG) model proposed by Xia et al. [Phys. Rev. Lett., 126 (2021), 177801], in which a tensor order parameter Q for the orientational order is coupled with a real scalar…

Numerical Analysis · Mathematics 2026-04-22 Wenshuai Hu , Guanghua Ji , Xiao Li

This paper develops a numerical procedure to accelerate the convergence of the Favre-averaged Non-Linear Harmonic (FNLH) method. The scheme provides a unified mathematical framework for solving the sparse linear systems formed by the mean…

Numerical Analysis · Mathematics 2024-07-26 Feng Wang , Kurt Webber , David Radford , Luca di Mare , Marcus Meyer

Entropy stable schemes replicate an entropy inequality at the semi-discrete level. These schemes rely on an algebraic summation-by-parts (SBP) structure and a technique referred to as flux differencing. We provide simple and efficient…

Numerical Analysis · Mathematics 2021-01-05 Jesse Chan , Christina G. Taylor

We propose a Generalized Dantzig Selector (GDS) for linear models, in which any norm encoding the parameter structure can be leveraged for estimation. We investigate both computational and statistical aspects of the GDS. Based on conjugate…

Machine Learning · Statistics 2015-02-03 Soumyadeep Chatterjee , Sheng Chen , Arindam Banerjee

The classic second-order average vector field (AVF) method can exactly preserve the energy for Hamiltonian ordinary differential equations and partial differential equations. However, the AVF method inevitably leads to fully-implicit…

Numerical Analysis · Mathematics 2018-06-29 Wenjun Cai , Haochen Li , Yushun Wang

We consider numerical approximations and error analysis for the Cahn-Hilliard equation with reaction rate dependent dynamic boundary conditions (P. Knopf et. al., arXiv, 2020). Based on the stabilized linearly implicit approach, a…

Numerical Analysis · Mathematics 2021-04-22 Xuelian Bao , Hui Zhang

Slow feature analysis (SFA) is a method for extracting slowly varying features from a quickly varying multidimensional signal. An open source Matlab-implementation sfa-tk makes SFA easily useable. We show here that under certain…

Machine Learning · Statistics 2009-12-08 Wolfgang Konen

In this paper, a new family of implicit compact finite difference schemes for computation of unsteady convection-diffusion equation with variable convection coefficient is proposed. The schemes are fourth order accurate in space and second…

Mathematical Physics · Physics 2012-01-17 Shuvam Sen

Many hyperbolic and kinetic equations contain a non-stiff convection/transport part and a stiff relaxation/collision part (characterized by the relaxation or mean free time $\varepsilon$). To solve this type of problems, implicit-explicit…

Numerical Analysis · Mathematics 2020-08-19 Jingwei Hu , Ruiwen Shu

Consider the general scalar balance law $\partial_t u + \Div f(t, x,u) = F(t,x,u)$ in several space dimensions. The aim of this note is to estimate the dependence of its solutions from the flow $f$ and from the source $F$. To this aim, a…

Analysis of PDEs · Mathematics 2008-10-29 Rinaldo M. Colombo , Magali Mercier , Massimiliano D Rosini