Package-level declarations

Represents a two-dimensional matrix with support for basic operations such as indexing, copying, and mathematical computations.

Represents a sparse matrix using the Compressed Sparse Row (CSR) format.

Performs the Cholesky decomposition on a given square, positive-definite matrix. The Cholesky decomposition expresses the matrix as L * L^T, where L is a lower triangular matrix.

Calculates the mean of each column in the matrix and returns the result as a new single-row matrix.

Calculates the Frobenius norm of the sparse matrix. The Frobenius norm is the square root of the sum of the squares of all the non-zero elements in the matrix.

Computes the inverse of a given symmetric, positive-definite matrix using the Cholesky decomposition.

Extension function to subtract a SparseMatrix from a Matrix.

Extension function to subtract a Matrix from a SparseMatrix.

Extension function to add a Matrix to a SparseMatrix.

Adds this sparse matrix to another matrix and returns the resulting matrix.

Performs QR decomposition on a sparse matrix.

Solves a linear system Ax = b using QR decomposition.

Constructs a SparseMatrix instance with the specified number of rows, columns, and non-zero values.

Constructs a sparse matrix in Compressed Sparse Row (CSR) format.

Extension function to multiply a scalar by a SparseMatrix.

Multiplies this sparse matrix with another matrix and returns the resulting matrix.

Extension function to convert a dense Matrix to a SparseMatrix.