High performance computational platform in Python for the spectral Galerkin method
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Updated
May 23, 2024 - Python
High performance computational platform in Python for the spectral Galerkin method
optimizer & lr scheduler & loss function collections in PyTorch
Propagators for Quantum Dynamics and Optimal Control
Building blocks of spectral methods for Julia.
Implementation of Probability Theorem and Limits, Solving Markov chain and states classification
SFQEDtoolkit
Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics
Simple Chebyshev and Butterworth implementation
Coursework for MATH 3890 Computing with Splines
A set of numerical algorithms I coded on Python
Basic (+chebyshev) interpolation recipes in Julia
Python implementations of classic approximations of functions
Elegant Butterworth and Chebyshev filter implemented in C, with float/double precision support. Works well on many platforms. You can also use this package in C++ and bridge to many other languages for good performance.
Scripts for the study of n-th order Type 1 Chebyshev filters
Program for designing active and discrete filters
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