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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 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

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

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

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

We establish a general framework for developing, efficient energy stable numerical schemes for gradient flows and develop three classes of generalized scalar auxiliary variable approaches (G-SAV). Numerical schemes based on the G-SAV…

Numerical Analysis · Mathematics 2020-02-04 Qing Cheng

We consider a kind of differential equations d/dt y(t) = R(y(t))y(t) + f(y(t)) with energy conservation. Such conservative models appear for instance in quantum physics, engineering and molecular dynamics. A new class of energy-preserving…

Numerical Analysis · Mathematics 2023-02-16 Xicui Li , Bin Wang , Xin Zou

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

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

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

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

We carry out the convergence analysis of the Scalar Auxiliary Variable (SAV) method applied to the nonlinear Schr\"odinger equation which preserves a modified Hamiltonian on the discrete level. We derive a weak and strong convergence…

Numerical Analysis · Mathematics 2021-07-07 Alexandre Poulain , Katharina Schratz

We propose in this paper a new minimization algorithm based on a slightly modified version of the scalar auxiliary variable (SAV) approach coupled with a relaxation step and an adaptive strategy. It enjoys several distinct advantages over…

Numerical Analysis · Mathematics 2023-05-11 Xinyu Liu , Jie Shen , Xiaongxiong Zhang

In this paper, we present a novel semi-implicit numerical scheme for the stochastic Cahn--Hilliard equation driven by multiplicative noise. By reformulating the original equation into an equivalent stochastic scalar auxiliary variable…

Numerical Analysis · Mathematics 2026-03-05 Jianbo Cui , Jie Shen , Derui Sheng , Yahong Xiang

The scalar auxiliary variable (SAV) approach of Shen et al. (2018), which presents a novel way to discretize a large class of gradient flows, has been extended and improved by many authors for general dissipative systems. In this work we…

Numerical Analysis · Mathematics 2025-01-16 Kei Fong Lam , Ru Wang

In this paper, we propose and analyze semi-implicit numerical schemes for the stochastic wave equation (SWE) with general nonlinearity and multiplicative noise. These numerical schemes, called stochastic scalar auxiliary variable (SAV)…

Numerical Analysis · Mathematics 2022-08-30 Jianbo Cui , Jialin Hong , Liying Sun

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

The main objective of this paper is to present an efficient structure-preserving scheme, which is based on the idea of the scalar auxiliary variable approach, for solving the space fractional nonlinear Schr\"{o}dinger equation. First, we…

Numerical Analysis · Mathematics 2019-11-19 Yayun Fu , Wenjun Cai , Yushun Wang

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
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