Krylov methods for linear problems, eigenvalues, singular values and matrix functions
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, ...
翻译 - 进入用于机器学习，线性代数，FFT，贝塞尔，椭圆形，正交多边形，几何，NURBS，数值正交，3D超限插值，随机数，梅森扭曲器，概率分布，优化，图形，绘图，可视化，张量，特征值的科学库，微分方程等。
Collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.
symmetric matrices algorithms to compute eigenvalue/eigenvector pairs
PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods and more.
