JAMA
Interfaces, Classes and Traits
- CholeskyDecomposition
- Cholesky decomposition class.
- EigenvalueDecomposition
- Class to obtain eigenvalues and eigenvectors of a real matrix.
- LUDecomposition
- For an m-by-n matrix A with m >= n, the LU decomposition is an m-by-n unit lower triangular matrix L, an n-by-n upper triangular matrix U, and a permutation vector piv of length m so that A(piv,:) = L*U.
- Matrix
- Matrix class.
- QRDecomposition
- For an m-by-n matrix A with m >= n, the QR decomposition is an m-by-n orthogonal matrix Q and an n-by-n upper triangular matrix R so that A = Q*R.
- SingularValueDecomposition
- For an m-by-n matrix A with m >= n, the singular value decomposition is an m-by-n orthogonal matrix U, an n-by-n diagonal matrix S, and an n-by-n orthogonal matrix V so that A = U*S*V'.