eigenvalue decomposition造句

例句与造句

1. For diagonalizable matrices, an even better method is to use the eigenvalue decomposition of.
2. While only non-defective square matrices have an eigenvalue decomposition, any m \ times n matrix has a SVD.
3. This shows that the SVD is a generalization of the eigenvalue decomposition of pure stretches in orthogonal directions ( symmetric matrix ) to arbitrary matrices ( "'RP "'} } ) which both stretch and rotate.
4. In the GNM, the determinant of the Kirchhoff matrix is zero, hence calculation of its inverse requires eigenvalue decomposition . "'? "' " 1 is constructed using the N-1 non-zero eigenvalues and associated eigenvectors.
5. Thus while related, the eigenvalue decomposition and SVD differ except for positive semi-definite normal matrices : the eigenvalue decomposition is "'UDU "' " 1 } } where is not necessarily unitary and is not necessarily positive semi-definite, while the SVD is "'U?V "' " } } where is diagonal and positive semi-definite, and and are unitary matrices that are not necessarily related except through the matrix.
6. It's difficult to find eigenvalue decomposition in a sentence. 用eigenvalue decomposition造句挺难的
7. Thus while related, the eigenvalue decomposition and SVD differ except for positive semi-definite normal matrices : the eigenvalue decomposition is "'UDU "' " 1 } } where is not necessarily unitary and is not necessarily positive semi-definite, while the SVD is "'U?V "' " } } where is diagonal and positive semi-definite, and and are unitary matrices that are not necessarily related except through the matrix.