应用显式全变差递减（TVD）法求解了饱和度方程。
The saturation equation was solved using an explicit total variation diminishing (TVD) method.
本文提出一种基于图割的全变差（TV）图像去噪算法。
This paper presents a total variation(TV) image denoising algorithm based on graph cut.
应用耦合方法，建立了相应于这个平均场模型的扩散过程的依全变差稳定性。
Applying the coupling methods, the author establishes the stability in total variation for the diffusion process corresponding to the mean-field model.
将波动方程反演的目标泛函加入全变差约束项，提高反演过程的稳定性和反演结果的分辨率。
The total variation constraint item is added to the wave equation inversion objective functional, to improve the stability and the resolution of inversion.
第三种算法根据全变差模型在去除噪声时的缺陷，提出了将非抽样小波和全变差模型结合起来的自适应混合去噪策略。
The third algorithm proposes a hybrid image denoising algorithm based on wavelet shrinkage and TV diffusion owing to the disadvantage of TV diffusion.
第三种算法根据全变差模型在去除噪声时的缺陷，提出了将非抽样小波和全变差模型结合起来的自适应混合去噪策略。
The third algorithm proposes a hybrid image denoising algorithm based on wavelet shrinkage and TV diffusion owing to the disadvantage of TV diffusion.
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