Constrained optimization toolkit for PyTorch

Efficient Householder Transformation in PyTorch

Spectral Tensor Train Parameterization of Deep Learning Layers

[IEEE Access 2022] Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification

Plotting the loss of Orthogonality of a matrix at each iteration step due to four different methods of Orthogonalization

TensorFlow implementation of differentiable LQ matrix decomposition for all matrix orders.

Co-clustering algorithms can seek homogeneous sub-matrices into a dyadic data matrix, such as a document-word matrix.

Vectors, matrices, linear equations, Gaussian elimination, vector geometry with dot product and vector product, determinants, vector spaces, linear independence, bases, change of basis, linear transformations, the least-squares method, eigenvalues, eigenvectors, quadratic forms, orthogonality, inner-product space, Gram-Schmidt's method.

Model reduction of 2D diffusion equation

A set of codes in MATLAB for ODE reconstruction using least-square method and orthogonal polynomials

Basic and advanced linear algebra and numerical problems, numerical algorithms, and techniques with multiple applications in the field of Computer Science.

A small C-library for Linear Algebra functions that do complex matrix calculations.