Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
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Updated
Jan 20, 2026 - Python
Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
Non-linear Schrodinger Equation Solver
NLS algorithm for estimation has been implemented successfully and has provided good estimates for all range of frequencies. It has also been tested for different sampling frequencies and this estimator is better compared to autocorrelation method as it doesn’t require any pre-processing. The NLS method is statistically efficient if the noise is…
NLS Terminal Two — terminal-based promo allocation pipeline with cached first pull and model limit tracking.
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