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In this paper, two efficient and magnetization norm preserving numerical schemes based on the scalar auxiliary variable (SAV) method are developed for calculating the ground state in micromagnetic structures. The first SAV scheme is based…

Numerical Analysis · Mathematics 2025-10-20 Jiayun He , Lei Yang , Jiajun Zhan

In this paper, we mainly focus on the rigorous convergence analysis of two fully decoupled, unconditionally energy-stable methods for the diffuse interface two-phase magnetohydrodynamics (MHD) model. The two methods consist of the…

Analysis of PDEs · Mathematics 2025-04-25 Ke Zhang , Haiyan Su , Xinlong Feng

Two primary scalar auxiliary variable (SAV) approaches are widely applied for simulating gradient flow systems, i.e., the nonlinear energy-based approach and the Lagrange multiplier approach. The former guarantees unconditional energy…

Numerical Analysis · Mathematics 2024-11-27 Qiong-Ao Huang , Wei Jiang , Jerry Zhijian Yang , Cheng Yuan

We investigate two unconditionally energy stable invariant energy quadratization (IEQ) finite element methods (FEMs) [Chen et al. Numerical Algorithms, DOI: 10.1007/s11075-024-01910-z, 2024] for solving the Cahn-Hilliard-Navier-Stokes…

Numerical Analysis · Mathematics 2026-04-24 Yaoyao Chen , Dongqian Li , Yin Yang , Peimeng Yin

We propose an energy-optimized invariant energy quadratization method to solve the gradient flow models in this paper, which requires only one linear energy-optimized step to correct the auxiliary variables on each time step. In addition to…

Numerical Analysis · Mathematics 2024-04-03 Xiaoqing Meng , Aijie Cheng , Zhengguang Liu

In this paper, we propose a quadratic reformulation theory for rational-like functions. Based on this theory, we develop the Quadratic Conservation Elevation (QCE) method, which combines the Scalar Auxiliary Variable (SAV) method with the…

Numerical Analysis · Mathematics 2026-04-30 Fei Xie , Nan Lu , Yajuan Sun

In this paper, we conduct an in-depth investigation of the structural intricacies inherent to the Invariant Energy Quadratization (IEQ) method as applied to gradient flows, and we dissect the mechanisms that enable this method to uphold…

Numerical Analysis · Mathematics 2023-06-13 Yukun Yue

We present error estimates for four unconditionally energy stable numerical schemes developed for solving Allen-Cahn equations with nonlocal constraints. The schemes are linear and second order in time and space, designed based on the…

Numerical Analysis · Mathematics 2018-10-23 Shouwen Sun , Xiaobo Jing , Qi Wang

For the past few years, scalar auxiliary variable (SAV) and SAV-type approaches became very hot and efficient methods to simulate various gradient flows. Inspired by the new SAV approach in \cite{huang2020highly}, we propose a novel…

Numerical Analysis · Mathematics 2022-04-14 Zhengguang Liu , Xiaoli Li

The scalar auxiliary variable (SAV) method was introduced by Shen et al. and has been broadly used to solve thermodynamically consistent PDE problems. By utilizing scalar auxiliary variables, the original PDE problems are reformulated into…

Numerical Analysis · Mathematics 2022-03-02 Maosheng Jiang , Zengyan Zhang , Jia Zhao

This paper proposes a new class of arbitrarily high-order conservative numerical schemes for the generalized Korteweg-de Vries (KdV) equation. This approach is based on the scalar auxiliary variable (SAV) method. The equation is…

Numerical Analysis · Mathematics 2022-05-25 Kai Yang

It is well-known that the Allen-Cahn equation not only satisfies the energy dissipation law but also possesses the maximum bound principle (MBP) in the sense that the absolute value of its solution is pointwise bounded for all time by some…

Numerical Analysis · Mathematics 2022-03-15 Lili Ju , Xiao Li , Zhonghua Qiao

Consistent splitting schemes are among the most accurate pressure segregation methods, incurring no splitting errors or spurious boundary conditions. Nevertheless, their theoretical properties are not yet fully understood, especially when…

Numerical Analysis · Mathematics 2025-03-27 Douglas R. Q. Pacheco

In this paper, we propose and analyze a linear, structure-preserving scalar auxiliary variable (SAV) method for solving the Allen--Cahn equation based on the second-order backward differentiation formula (BDF2) with variable time steps. To…

Numerical Analysis · Mathematics 2025-10-22 Bingyin Zhang , Hongfei Fu , Rihui Lan , Shusen Xie

The nonlocal Cahn-Hilliard (NCH) equation with nonlocal diffusion operator is more suitable for the simulation of microstructure phase transition than the local Cahn-Hilliard (LCH) equation. In this paper, based on the exponential…

Numerical Analysis · Mathematics 2023-07-27 Xiaoqing Meng , Aijie Cheng , Zhengguang Liu

In this paper, we consider numerical approximations for solving the inductionless magnetohydrodynamic (MHD) equations. By utilizing the scalar auxiliary variable (SAV) approach for dealing with the convective and coupling terms, we propose…

Numerical Analysis · Mathematics 2023-03-21 Xiaodi Zhang , Xianghai Zhou

Implicit-explicit (IMEX) time integration schemes are well suited for nonlinear structural dynamics because of their low computational cost and high accuracy. However, stability of IMEX schemes cannot be guaranteed for general nonlinear…

Numerical Analysis · Mathematics 2025-06-27 Sun-Beom Kwon , Arun Prakash

In this paper an iterative minimization method is proposed to approximate the minimizer to the double-well energy functional arising in the phase-field theory. The method is based on a quadratic functional posed over a nonempty closed…

Numerical Analysis · Mathematics 2018-11-19 Qian Zhang , Long Chen , Yifeng Xu

In this paper, we present a novel strategy to systematically construct linearly implicit energy-preserving schemes with arbitrary order of accuracy for Hamiltonian PDEs. Such novel strategy is based on the newly developed exponential scalar…

Numerical Analysis · Mathematics 2023-07-27 Yonghui Bo , Yushun Wang , Wenjun Cai

In this paper, we present a novel investigation of the so-called SAV approach, which is a framework to construct linearly implicit geometric numerical integrators for partial differential equations with variational structure. SAV approach…

Numerical Analysis · Mathematics 2021-05-11 Tomoya Kemmochi , Shun Sato