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Application of the iterative approach to modal methods for the solution of Maxwell's equations

机译:迭代方法在模态方法求解麦克斯韦方程组中的应用

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In this work we discuss the possibility to reduce the computational complexity of modal methods, i.e. methods based on eigenmodes expansion, from the third power to the second power of the number of eigenmodes by applying the iterative technique. The proposed approach is based on the calculation of the eigenmodes part by part by using shift-and-invert iterative procedure and by utilizing the iterative approach to solve linear equations to compute eigenmodes expansion coefficients. As practical implementation, the iterative modal methods based on polynomials and trigonometric functions as well as on finite-difference scheme are developed. Alternatives to the scattering matrix (S-matrix) technique which are based on pure iterative or mixed direct-iterative approaches allowing to markedly reduce the number of required numerical operations are discussed. Additionally, the possibility of diminishing the memory demand of the whole algorithm from second to first power of the number of modes by implementing the iterative approach is demonstrated. This allows to carry out calculations up to hundreds of thousands eigenmodes without using a supercomputer. (C) 2015 Elsevier Inc. All rights reserved.
机译:在这项工作中,我们讨论了通过应用迭代技术来降低模态方法(即基于本征模扩展的方法)的计算复杂性的可能性,将本征模数从三次方降低到二次方。所提出的方法是基于本征模的计算,该方法通过使用移位和反转迭代过程以及利用迭代方法求解线性方程来计算本征模展开系数,从而部分地计算本征模。作为实际实现,开发了基于多项式和三角函数以及有限差分方案的迭代模态方法。讨论了基于纯迭代或混合直接迭代方法的散射矩阵(S-matrix)技术的替代方法,这些方法可显着减少所需的数值运算次数。另外,通过实现迭代方法,证明了将整个算法的存储需求从模式数量的第二幂减少到第一幂的可能性。这允许在不使用超级计算机的情况下进行多达数十万本征模式的计算。 (C)2015 Elsevier Inc.保留所有权利。

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