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9篇 您的检索式：作者名="Lipnikov"

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		题名	作者	年代	出处	被引量
	1	Mimetic finite difference methods for diffusion equations on nonorthogonal non-conformal mesh显示文摘	Lipnikov K Morel J Shashkov M		0，，02：	1
	2	The error-minimization-based rezone strategy for arbitrary Lagrangian-Eulerian methods显示文摘	Lipnikov K Shashkov M	2006	Numer Meth Part Differ Equ2006，22，：	1
	3	The error-minimization-based rezone strategy for arbitrary Lagrangian-Eulerian methods显示文摘	LIPNIKOV K SHASHKOV M	2006	Numerical Methods for Partial Differential Equations2006，22，3：	1
	4	Hessian-based anisotropic mesh adaptation in domains with discrete boundaries显示文摘	Vassilevski Y Dyadechko V Lipnikov K	2005	Russian Journal of Numerical Analysis and Mathematical Modelling2005，20，4：	1
	5	Analysis of the monotonicity conditions in the mimetic finite difference method for elliptic problems显示文摘	Lipnikov K Manzini G Svyatskiy D	2011	Journal of Computational Physics2011，230，：	1
	6	A family ofmimetic finite difference methods on polygonal and poly-hedral meshes显示文摘	BREZZI F LIPNIKOV K SIMONCINI V	2005	Mathematical Models and Methodsin Applied Sciences2005，15，10：	1
	7	Mimeticfinite difference method显示文摘	LIPNIKOV K MANZINI G SHASHKOV M	2014	Journal of ComputationalPhysics2014，257，：	1
	8	Hessian-based anisotropic mesh adaptation in domains with discrete boundaries显示文摘	VASSILEVSKI Y DYADECHKO V LIPNIKOV K		0，，04：	1
	9	The Error-Minimization-Based Strategy for Moving Mesh Methods显示文摘The typical elements in a numerical simulation of fluid flow using moving meshes are a time integration scheme,a rezone method in which a new mesh is defined,and a remapping(conservative interpolation)in which a solution is transferred to the new mesh.The objective of the rezone method is to move the computational mesh to improve the robustness,accuracy and eventually efficiency of the simulation.In this paper,we consider the onedimensional viscous Burgers’equation and describe a new rezone strategy which minimizes the L2 norm of error and maintains mesh smoothness.The efficiency of the proposed method is demonstrated with numerical examples.	Konstantin Lipnikov Mikhail Shashkov	2006	Communications in Computational Physics2006，1，1：	0

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