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We propose a new numerical technique to deal with nonlinear terms in gradient flows. By introducing a scalar auxiliary variable (SAV), we construct efficient and robust energy stable schemes for a large class of gradient flows. The SAV…

Numerical Analysis · Mathematics 2017-10-05 Jie Shen , Jie Xu , Jiang Yang

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

Scalar auxiliary variable (SAV) methods are a class of linear schemes for solving gradient flows that are known for the stability of a `modified' energy. In this paper, we propose an improved SAV (iSAV) scheme that not only retains the…

Numerical Analysis · Mathematics 2024-05-14 RUi Chen , Tingfeng Wang , Xiaofei Zhao

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

In this paper, we consider a novel auxiliary variable method to obtain energy stable schemes for gradient flows. The auxiliary variable based on energy bounded above does not limited to the hypothetical conditions adopted in previous…

Numerical Analysis · Mathematics 2019-07-11 Zhengguang Liu

The scalar auxiliary variable (SAV) approach is a highly efficient method widely used for solving gradient flow systems. This approach offers several advantages, including linearity, unconditional energy stability, and ease of…

Numerical Analysis · Mathematics 2024-07-26 Jinpeng Zhang , Xiaoping Wang

In this paper, we consider an exponential scalar auxiliary variable (E-SAV) approach to obtain energy stable schemes for a class of phase field models. This novel auxiliary variable method based on exponential form of nonlinear free energy…

Numerical Analysis · Mathematics 2019-12-30 Zhengguang Liu , Xiaoli Li

In this paper, we propose a regularized auxiliary variable (RAV) approach and construct accurate and robust time-discrete schemes for a large class of gradient flows. By introducing an auxiliary variable $r=0$ and constructing an auxiliary…

Numerical Analysis · Mathematics 2026-04-07 Zhaoyang Wang , Ping Lin

The scalar auxiliary variable (SAV)-type methods are very popular techniques for solving various nonlinear dissipative systems. Compared to the semi-implicit method, the baseline SAV method can keep a modified energy dissipation law but…

Numerical Analysis · Mathematics 2023-10-16 Zhengguang Liu , Yanrong Zhang , Xiaoli Li

The scalar auxiliary variable (SAV) approach \cite{shen2018scalar} and its generalized version GSAV proposed in \cite{huang2020highly} are very popular methods to construct efficient and accurate energy stable schemes for nonlinear…

Numerical Analysis · Mathematics 2022-06-08 Yanrong Zhang , Jie Shen

In recent years, the scalar auxiliary variable (SAV) approach has become very popular and hot in the design of linear, high-order and unconditional energy stable schemes of gradient flow models. However, the nature of SAV-based numerical…

Numerical Analysis · Mathematics 2023-04-25 Zhengguang Liu , Yanrong Zhang , Xiaoli Li

We develop several efficient numerical schemes which preserve exactly the global constraints for constrained gradient flows. Our schemes are based on the SAV approach combined with the Lagrangian multiplier approach. They are as efficient…

Numerical Analysis · Mathematics 2019-12-17 Qing Cheng , Jie Shen

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

In this paper, we propose several novel numerical techniques to deal with nonlinear terms in gradient flows. These step-by-step solving schemes, termed 3S-SAV and 3S-IEQ schemes, are based on recently popular scalar auxiliary variable (SAV)…

Numerical Analysis · Mathematics 2020-01-06 Zhengguang Liu , Xiaoli Li

In this paper, we propose a novel family of high-order numerical schemes for the gradient flow models based on the scalar auxiliary variable (SAV) approach, which is named the high-order scalar auxiliary variable (HSAV) method. The newly…

Numerical Analysis · Mathematics 2019-07-10 Yuezheng Gong , Jia Zhao , Qi Wang

For a class of fourth order gradient flow problems, integration of the scalar auxiliary variable (SAV) time discretization with the penalty-free discontinuous Galerkin (DG) spatial discretization leads to SAV-DG schemes. These schemes are…

Numerical Analysis · Mathematics 2020-08-28 Hailiang Liu , Peimeng Yin

We present a framework for devising discretely energy-stable schemes for general dissipative systems based on a generalized auxiliary variable. The auxiliary variable, a scalar number, can be defined in terms of the energy functional by a…

Computational Physics · Physics 2020-01-29 Zhiguo Yang , Suchuan Dong

The scalar auxiliary variable (SAV) approach is a very popular and efficient method to simulate various phase field models. To save the computational cost, a new SAV approach is given by introducing a new variable $\theta$. The new SAV…

Numerical Analysis · Mathematics 2021-10-04 Zhengguang Liu , Xiaoli Li

We construct efficient implicit-explicit BDF$k$ scalar auxiliary variable (SAV) schemes for general dissipative systems. We show that these schemes are unconditionally stable, and lead to a uniform bound of the numerical solution in the…

Numerical Analysis · Mathematics 2022-03-09 Fukeng Huang , Jie Shen

We present an unconditionally energy-stable scheme for approximating the incompressible Navier-Stokes equations on domains with outflow/open boundaries. The scheme combines the generalized Positive Auxiliary Variable (gPAV) approach and a…

Computational Physics · Physics 2020-04-22 L. Lin , X. Liu , S. Dong
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