High performance computational platform in Python for the spectral Galerkin method
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Updated
Jun 25, 2024 - Python
High performance computational platform in Python for the spectral Galerkin method
optimizer & lr scheduler & loss function collections in PyTorch
Implementation of Probability Theorem and Limits, Solving Markov chain and states classification
Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics
A set of numerical algorithms I coded on Python
Python implementations of classic approximations of functions
Scripts for the study of n-th order Type 1 Chebyshev filters
anisotropic Smolyak grid for Lagrange interpolation
Calculate real roots of a transcendental function using an Object Oriented Programming implementation of Numerical Method solvers like Multipoint Iterations, Muller's Algorithm, Chebysev's Algorithm, Newton-Rahpson's Algorithm, Regula-Falsi Algorithm and Secant Algorithm.
An IIR filter class implementation in Python
This is a wave equation solver in spherical symmetry that demonstrates the use of parity-limited Chebyshev polynomials
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