The finite-difference frequency domain (FDFD) method has received increasing interest, owing to its ability to provide useful information for inverse design. Here, I introduce a new algorithm that provides FDFD solutions, the void space domain decomposition (VSDD) method. It features solve speeds comparable to those of the finite-difference time domain (FDTD) method, but enables domains 10 times larger or more with typical compute configurations. With VSDD, there is no need to solve a matrix equation that spans the entire problem domain. The network bandwidth requirement, a key limitation of FDTD, is reduced by about a factor of 35 or more, even though both algorithms require comparable numbers of voxel operations.
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Thomas Baehr-Jones
Optics Express
Tessella (United Kingdom)
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Thomas Baehr-Jones (Wed,) studied this question.
www.synapsesocial.com/papers/69a7608ec6e9836116a2d6be — DOI: https://doi.org/10.1364/oe.579109
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