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

Finite difference methods.

Building a system for face recognition and gender classification. The dataset comes from FaceScrub.

Classical Finite Differences Schemes for numerically solve different Partial Differential Equations.

Solver for the HJB equation associated to the importance sampling problem of diffusion processes

Numerical differentiation leveraging convolutions based on PyTorch

comparison of derivative discretization methods

Aplicación de Machine Learning y Deep Learning, incluyendo PINNs, para la solución numérica de ecuaciones diferenciales parciales con ejemplos teóricos y prácticos.

Finite difference solver for the 2D Poisson equation with mixed boundary conditions

Controlled same-surface reparameterization experiments on a torus testing whether chart distortion predicts discrete mean-curvature error. Includes a white-paper script, falsification suite, plots, and diagnostics based on area density and metric conditioning under fixed periodic finite-difference stencils.