求解eikonal方程的迭代法

P. Mokry
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引用次数: 2

摘要

本文给出了求解eikonal方程的迭代法的原理和推导。定义了光波相位Φ(r)与折射率n(r)之间关系的椭圆方程,即|grad Φ(r)|2 = n2(r),是几何光学中的基本方程。它描述了电磁波在无限频率或零波长极限下的波前演变,由方程Φ (r) = C给出。方程是一阶非线性偏微分方程(PDE)。这种分类使得eikonal方程在解析和数值上都很难求解。求解eikonal方程的算法有Dijkstra算法、快速推进法、快速扫描法、标记校正法等。这些方法的主要缺点是它们的收敛性对计算网格的密度提出了相当高的要求。有限元法是求解偏微分方程的一种节省时间和存储空间的方法。然而,有限元法由于其一阶性,不能直接用于求解斜方方程。为了提供快速、高效的eikonal方程解,建议求解二阶eikonal方程的广义版本,该版本可以用有限元法求解。然后,给出了数值解的修正迭代计算方法。结果表明,所计算的级数收敛于原方程的解。
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Iterative method for solving the eikonal equation
The paper present principles and derivation of the iterative method for solving the eikonal equation. The eikonal equation, which defines the relationship between the phase of the optical wave Φ(r) and the refractive index n(r), i.e. |grad Φ(r)|2 = n2(r), represents the fundamental equation in geometrical optics. It describes the evolution of the wavefront, which is given by the equation Φ (r) = C, of the electromagnetic wave in the limit of infinite frequency or zero wavelength. The eikonal equation is the nonlinear partial differential equation (PDE) of the first order. This classification makes the eikonal equation of rather diffcult to solve, both analytically and numerically. Several algorithms have been developed to solve the eikonal equation: Dijkstra's algorithm, fast marching method, fast sweeping method, label-correcting methods, etc. Major disadvantage of these methods is that their convergence puts rather high requirements on the density of the computing grid. It is known that finite element method (FEM) offers much more memory and time efficient approach to solve PDEs. Unfortunately, FEM cannot be applied to solve eikonal equation directly due to its first order. In order to provide the fast and memory efficient solution of the eikonal equation, it is suggested to solve a generalized version of the eikonal equation, which is of the second order and which can be solved using FEM. Then, iterative procedure for computing the corrections of the obtained numerical solution is developed. It is shown that the computed series converges to the solution of the original eikonal equation.
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