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Compressing Fluid Subspaces Aaron Demby-Jones, Pradeep Sen, Theodore Kim May 2016 Subspace fluid simulations, also known as reduced-order simulations, can be extremely fast, but also require basis matrices that consume an enormous amount of memory. Motivated by the extreme sparsity of Laplacian eigenfunctions in the frequency domain, we design a frequency-space codec that is capable of compressing basis matrices by up ... more Paper (PDF) |