Technically, a vector is a form of a matrix having one row or one column (read about isvector and ismatrix commands for more information). In linear algebra, the singular value decomposition ( SVD) is a factorization of a real or complex matrix into a rotation, followed by a rescaling followed by another rotation. 2 Answers Sorted by: 14 In MATLAB terminology, both vectors and matrices are arrays of numerical values.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |