An active set solver for general (definite/indefinite) dense Quadratic Programs
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Updated
Jun 12, 2019 - Julia
An active set solver for general (definite/indefinite) dense Quadratic Programs
A little Julia module to allow factorization and backslash to work with hyperdual-valued arrays and sparse arrays.
Matrix factorization using alternating least squares for movie recommendation
Provides an implementation of lazily represented Kronecker products with efficient in-place multiplies and solves.
Column and row updates to "Q-less" QR decomposition, including stable least-squares solves
This package contains a data structure that wraps a matrix of matrices or factorizations and acts like the matrix resulting from concatenating the input matrices without allocating further memory.
This package contains implementations of efficient representations and updating algorithms for Cholesky factorizations.
Contains an implementation of lazily represented matrix structures that allow for the application of the Woodbury Identity.
Modeling and prediction for sports brackets
Matrix factorization for data with very few observations
Study of the basins of attractions of the Hopfield Model and some experiments about the Matrix Factorization problem
Contains implementations of efficient representations of and updating algorithms for QR factorizations.
A general-purpose, extensible Julia package for GPU-accelerated matrix factorization
Differentiable matrix factorizations using ImplicitDifferentiation.jl.
Load Tensor Decompositions results
A Julia implementation of three different recommender systems based on the concept of Neural Collaborative Filtering.
A matrix factorization model for multi-omic data and biological pathways
Geostatistical Inversion
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