Random C++ Part 2: Sparse partial inverses in Eigen
Explains how to compute specific entries of the inverse of a sparse symmetric positive definite matrix in C++ using Eigen and the Takahashi recursions.
Explains how to compute specific entries of the inverse of a sparse symmetric positive definite matrix in C++ using Eigen and the Takahashi recursions.
A technical guide on building a block sparse matrix in C++ using the Eigen library, focusing on memory layout and performance.
Explores Markovian Gaussian Processes, focusing on theory and computational approximations to reduce memory and speed up linear algebra.
Explores efficient methods in R to test if matrices contain only binary (0/1) values, focusing on performance with large sparse matrices.