Numerical check on analytic gradient + hessian of function.
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Updated
Sep 26, 2017 - Julia
Numerical check on analytic gradient + hessian of function.
A Julia package for nonuniform finite difference method approximations in cartesian domains.
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
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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.
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