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A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discontinuous Galerkin methods to get provably stable semidiscretizations, paying special attention to boundary conditions.
A general and comprehensive toolkit for generating finite difference formulas, working with Taylor series expansions, and teaching/learning finite difference formulas in Julia
A general and comprehensive toolkit for generating finite difference formulas, working with Taylor series expansions, and teaching/learning finite difference formulas in Julia
This is a short library that implements the complex-step derivative approximation algorithm for the computation of the N-derivative of an N-dimension function.