Matrix operations- add, subtract, multiply, inverse, determinant, adjoint.
gl-matrix's mat4, split into smaller pieces
gl-matrix's mat2, split into smaller pieces
gl-matrix's mat3, split into smaller pieces
## 安装包(前后端通用)
A Javascript library to perform basic matrix operations
A flexible numerical optimization library for JavaScript/TypeScript that works smoothly in browsers
WASM-JS math library
JavaScript library for Matrix representation
``` export default class Parent { private static container; private static offset; constructor(domID: string); render(r?: number, fillStyle?: string): void; } ```
The JavaScript utility library for performing operations on all data types and data structures.
quarkle is the JavaScript util library providing support of all data types and data structures.
Q# grammar for tree-sitter
Ｄｏｗｎｌｏａｄ ｅｂｏｏｋ ｐｄｆ ｍｏｂｉ ｅｐｕｂ Hermann & Yves H. Duke - Tome 1 - La boue et le sang is available now
fzbz is a fizz-buzz solution
Une autre procedure utile pour Pirater WhatsApp consiste à parfaire une violation de phishing ou hameçonnage sur l'objectif . cette methode exige cela dit des . . .
Small Javascript libray for computing matrixes
Node-RED added node functions.
Lightweight JavaScript library for basic matrix computations.
Hopf algebraic machine learning
ODE-constrained optimization for Numra: single and multiple shooting, collocation, adjoint sensitivity, parameter estimation for ODE models.
Force density method (FDM) for RLX — pin-jointed form-finding ported from jax_fdm.
Exact automatic differentiation for Rust — forward-mode, reverse-mode, first- and second-order, with named variable support and a unified `Real` trait for mode-agnostic numerical code
A high-performance automatic differentiation library for Rust
Optimization solvers and implicit differentiation for echidna
Physics-Informed Neural Networks for OxiCUDA: PINN losses, Neural ODEs/SDEs (adjoint method), Neural Operators (FNO/DeepONet/MWT/GNO), PDE templates, autodiff (dual numbers + tape), adaptive collocation sampling — pure Rust, zero CUDA SDK dependency.
Training loops, loss composition, and optimization schedules for TensorLogic
Functional analysis on multivector spaces - Hilbert spaces, linear operators, and spectral theory
Automatic differentiation using Bevy ECS as computation graph
High-performance discrete and lifting wavelet transforms for 1-D and N-D signals, with SIMD acceleration, adjoint operations, and 8 boundary conditions.
Pure Rust Computational Photonics & Optical Simulation Framework
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