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首页> 外文期刊>SIAM Journal on Numerical Analysis >ANISOTROPIC FAST-MARCHING ON CARTESIAN GRIDS USING LATTICE BASIS REDUCTION~*
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ANISOTROPIC FAST-MARCHING ON CARTESIAN GRIDS USING LATTICE BASIS REDUCTION~*

机译:用格基减少法在笛卡尔网格上进行各向异性快速演算〜*

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摘要

We introduce a modification of the fast-marching algorithm, which solves the anisotropic eikonal equation associated to an arbitrary continuous Riemannian metric M on a twoor three-dimensional domain. The algorithm has a complexity O(N lnN + N ln κ(M)), where N is the discrete domain cardinality. The logarithmic dependency in the maximum anisotropy ratio κ(M) of the Riemannian metric allows us to handle extreme anisotropies for a limited numerical cost. We prove the convergence of the algorithm and illustrate its efficiency by numerical experiments. The algorithm relies on the computation at each grid point z of a special system of coordinates: a reduced basis of the lattice ?~m, with respect to the symmetric positive definite matrix M(z) encoding the desired anisotropy at this point.
机译:我们介绍了快速行进算法的一种改进,它可以解决与二维或三维域上的任意连续黎曼度量M相关的各向异性方程。该算法的复杂度为O(N lnN + N lnκ(M)),其中N是离散域基数。黎曼度量的最大各向异性比率κ(M)的对数依赖性使我们能够以有限的数值成本处理极端各向异性。我们证明了该算法的收敛性,并通过数值实验说明了其有效性。该算法依赖于特殊坐标系的每个网格点z的计算:相对于在该点编码所需各向异性的对称正定矩阵M(z),晶格的缩减基础。

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