'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects
Arithmetic routines for native R matrices and big.matrix objects.
Add two double-precision vectors.
Sum of absolute values
BLAS daxpy functionality
Copy a vector.
Dot product of two vectors
DGEEV computes eigenvalues and eigenvectors.
Matrix Multiply
QR factorization
DGESDD computes the singular value decomposition (SVD) of a real matri...
Element-wise (Hadamard) product
Euclidean norm (2-norm)
Cholesky factorization
Product of vector elements
High-accuracy dot product
Scales a vector by a constant.
Fill a vector or matrix with a constant value
Element-wise square root
In-place vector subtraction
Sum of elements
Swap two double-precision vectors.
Symmetric matrix-matrix multiplication
Generalised AXPBY operation
Three-dimensional cross product
Index of the maximum absolute value
Index of the minimum absolute value
Index of the maximum element
Index of the minimum element
Class "big.matrix" arithmetic methods
Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.
Useful links