Python package for numerical derivatives and partial differential equations in any number of dimensions.
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Updated
Jan 5, 2025 - Python
Python package for numerical derivatives and partial differential equations in any number of dimensions.
A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.
Simulates the propagation of the acoustic wave using the finite difference method in 2D and 3D domains.
Finite difference weights for any derivative order on arbitrarily spaced grids. C89, C++ and Fortran 90 implementations with Python bindings.
Conjugate gradients minimization
Implementation of Numerical Analysis algorithms/methods in Python
Building a system for face recognition and gender classification. The dataset comes from FaceScrub.
Finite difference methods.
Numerical differentiation leveraging convolutions based on PyTorch
Solver for the HJB equation associated to the importance sampling problem of diffusion processes
comparison of derivative discretization methods
Classical Finite Differences Schemes for numerically solve different Partial Differential Equations.
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