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.
Crank–nicolson extrapolation and finite element method for the oldroyd fluid with the midpoint rule.Journal of computational and applied mathematics, 415:114453
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.