SIAM Journal on Numerical Analysis · 2022 · 44 citations · 12 references
ComputingComputer ScienceComputational Fluid DynamicsComputational PhysicsScientific ComputingIterative SolversKernel MethodsNumerical AnalysisNumerical Methods For Differential EquationsNumerical StabilityTime IntegrationBackward Differentiation FormulasConvolution KernelsGrid ConvergenceGrid DiscretizationTime DiscretizationTime-stepping Schemes
We prove that the two-step backward differentiation formula (BDF) method is stable on arbitrary time grids; while the variable-step three-step backward differentiation formula scheme is stable if almost all adjacent step ratios are less than 2.553. These results relax the severe mesh restrictions in the literature and provide a new understanding of variable-step BDF methods. Our main tools include the discrete orthogonal convolution kernels and an elliptic type matrix norm.
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