Labs for the Foundations of Applied Mathematics curriculum.
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Updated
Nov 21, 2024 - TeX
Labs for the Foundations of Applied Mathematics curriculum.
Numerical computing in Swift – for Linux and macOS
Level Set Method Library
Main repository for sharing files and documents about OpenDreamKit
ArtraCFD: A Computational Fluid Dynamics Solver
Discretizations of Exterior Calculus for Analysis, Geometry and Topology
An implementation of improved incremental Singular Value Decomposition(iSVD) algorithm
A simple Fortran program of Discontinuous Galerkin method(no Limiter now) solving 2D Euler Equation with the Isentropic Vortex initial value.
Overlapping finite element meshes in AMORE
Cortix is a Python library for network dynamics modeling and HPC simulation.
Automatic Differentiation Library
A curated list of resources for mathematics, including theory, proofs, computational tools, datasets, open-source software, and learning materials.
High-performance integer factorization suite implementing GNFS, MPQS, and QS algorithms with optimized lattice reduction, vectorization, GPU acceleration, and tensor-based linear algebra. Features automatic algorithm selection, NUMA-aware scheduling, and checkpoint/restore for computational number theory research and cryptanalytic analysis.
A curated list of tools, frameworks, libraries, and educational resources for computational mathematics.
fast solver for symmetric positive definite toeplitz system with preconditioned conjugate gradient method.
The W(3,3)-E6 Correspondence Theorem: deriving the Standard Model from a single finite geometry with zero free parameters
High-performance matrix manipulation engine. Implementing fundamental linear algebra algorithms and computational logic for data processing and mathematical optimization.
A computational engine for linear algebra operations, implementing matrix arithmetic from scratch. Demonstrating algorithmic logic, efficient mathematical computing, and clean code structures.
Hardware Accelerated General Purpose Mathematics Package (very stale)
A Claude skill for producing compilable LaTeX in computational and applied mathematics — theorems, proofs, algorithms, convergence analyses, numerical experiments and beamer presentations
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