Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
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Updated
Feb 26, 2023 - Python
Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
Numerical Solver to Korteweg-de Vries and Kawahara Equations
Solving KdV equation with finite difference optimized compact scheme for first- and third-derivatives
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Spectral Integration and Differentiation Algorithms. Includes FFTs, Chebyshev Transforms, and Hankel transforms. Exponential time differencing and integrating factor Runge-Kutta methods.
Numerical solution to Korteweg-De Vries equation. The method used is finite differences method and Zabusky-Kruskal scheme.
Using ANN to decompose waves into different bases (wave functions) with ease of choice.
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