Computes the rank of a rectangular, real matrix Input Matrix. Details
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Input Matrix must be a real matrix. |
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tolerance defines a level such that the number of singular values greater than this level is the rank of the Input Matrix.
All of the negative tolerance causes an internal tol=max (m,n)||A|| eps to be used, where A represents the Input Matrix, m represents the number of rows in A, n represents the number of columns in A, ||A|| is the 2-norm of A, eps is the smallest, floating point number that can be represented by type double,
eps = 2^(- 52)=2.22e - 16. The default is 1. |
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rank is the number of singular values in the Input Matrix that are larger than the tolerance. rank is the maximum number of independent rows or columns in the Input Matrix. |
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error returns any error or warning condition from the VI. |
Any negative tolerance (default is -1) causes an internal tolerance of max(m,n)*A2* eps to be used, where A2 represents the 2-norm of the Input Matrix , m represents the number of rows in A, n represents the number of columns in A, and
eps = 2^(-52)=2.22e - 16.
Matrix rank is the number of singular values in the Input Matrix that are larger than the tolerance. rank is the maximum number of independent rows or columns in the Input Matrix.