Adaptive P/ODE numerics with Grassmann element TensorField assembly
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Updated
Apr 23, 2024 - Julia
Adaptive P/ODE numerics with Grassmann element TensorField assembly
Materiales del Curso Aprendizaje Geométrico Profundo, Posgrado Matemáticas UNAM 2023-1
Riemmanian Manifold representation library with automatic first order differentiation
Comprehensive open source book on basic topology, smooth manifolds, differential geometry, Lie theory, homological algebra, and index theory.
An algorithm that computes the twisted L^2-Euler characteristic.
TensorFields with product topology using Grassmann element parameters
Personal answers to the exercises and problem in the book "Introduction to topological manifolds" by John M. Lee
This repo. is to save the codes in my article "Low-Rank Matrix Completion via QR-Based Retraction on Manifolds"
Calculus on manifolds | classical theorems | foundations in mathematical analysis | BSD License® | MIT License@ | UC Berkeley Math 130 | Watters Software Distributions®
Notes for Differential Geometry of Manifolds
An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions.
Extensive learning notes on mathematics
This repository contains the python implementation of the paper titled "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002 http://multires.caltech.edu/pubs/diffGeoOps.pdf
Learning-Rate-Free Stochastic Riemannian Optimization in JAX.
Computing homology groups of simplicial complexes
Solutions and clarifications for Tensor Calculus by J.L. Synge and A. Schild (Dover Publication)
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