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Linear-Algebra-With-Python

weijie-chen / Linear-Algebra-With-Python

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Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assis…

python data-science jupyter matrix linear-algebra mathematics data-visualization data-analysis eigenvectors computational-science vector-space matrix-calculations eigenvalues singular-value-decomposition diagonalization gram-schmidt linear-transformations null-space symmetric-matrices multivariate-normal-distribution
  • Updated Jan 13, 2023
  • Jupyter Notebook

cpmech / gosl

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Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

optimization linear-algebra sparse-systems linear-programming scientific-computing fast-fourier-transform computational-geometry differential-equations eigenvectors mersenne-twister eigenvalues parallel-computations
  • Updated Apr 15, 2024
  • Go
Tiger

hosseinmoein / Tiger

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Star 107

C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators

data-science cpp matrix metaprogramming matrix-factorization statistical-analysis eigenvectors matrix-calculations eigenvalues numerical-analysis lu-decomposition qr-decomposition matrix-decompositions financial-engineering tridiagonal matrix-math-library determinant-calculation hessenberg-reduction single-value-decomposition schur-decomposition
  • Updated Apr 5, 2024
  • C++

cpmech / russell

Star 72

Rust Scientific Libary. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers. ODE and DAE solvers. Probability distributions. Tensor calculus.

rust interpolation linear-algebra mathematics special-functions scientific-computing quadrature differential-equations eigenvectors sparse-matrix numerical-integration eigenvalues quadrature-integration spectral-methods bessel-function numerical-derivatives gamma-function
  • Updated May 8, 2024
  • Rust

shantanu1109 / Coursera-Imperial-College-of-London-Mathematics-For-Machine-Learning-Specialization

Star 37

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

linear-regression linear-algebra pagerank-algorithm neural-networks eigenvectors lagrange jacobian hessian backpropagation eigenvalues transformation-matrix newton-raphson taylor-series gram-schmidt sandpit multivariate-calculus
  • Updated Sep 23, 2023
  • Jupyter Notebook

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