SciML/DiffEqOperators.jl

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

Juliajuliapartial-differential-equationsdifferential-equationsfdmdifferentialequationssdepdestochastic-differential-equationsmatrix-freefinite-difference-methodneural-odescientific-machine-learningneural-differential-equationssciml
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DiffEqOperators.jl This Package is in the Process of being Deprecated Alternatives: For automated finite difference discretization of symbolically-defined PDEs, see MethodOfLines.jl. For MatrixFreeOperators, and other non-derivative operators, see SciMLOperators.jl. For VecJacOperators and JacVecOperators, see SparseDiffTools.jl. README DiffEqOperators.jl is a package for finite difference discretization of partial differential equations. It allows building lazy operators for high order non-uniform...
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