Incremental SVD compression reduces memory and computational cost for history terms in finite element discretizations of nonlinear Oldroyd problems with general kernels while retaining accuracy for small tolerances under low-rank assumptions.
Error estimate of the fast l1 method for time- fractional subdiffusion equations.Applied mathematics letters, 133:108288
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Incremental SVD Compression for Nonlinear Oldroyd Equations with General Memory Kernels
Incremental SVD compression reduces memory and computational cost for history terms in finite element discretizations of nonlinear Oldroyd problems with general kernels while retaining accuracy for small tolerances under low-rank assumptions.