cond
Compute the condition number of a matrix.
Syntax
R = cond(x)
Inputs
- x
- The matrix whose condition number is computed.
Outputs
- R
- The condition number.
Example
R = cond([1,2,3;4,5,6;7,8,10])
R = 88.4482799
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Returns a matrix with rows and columns of roughly equal magnitude.
Cholesky decomposition.
Compute the condition number of a matrix.
Return the complex conjugate.
Convolution of two vectors.
Compute 2D convolution.
Vector cross product.
Compute the matrix determinant.
Vector dot product.
Eigen decomposition.
Creates a fully populated matrix from sparse.
Compute the inverse matrix.
Hermitian matrix test.
Determines if an input is a matrix with sparse storage.
Determines if x is a square matrix.
Symmetric matrix test.
Kronecker matrix product.
Solve a linear system of equations.
LU decomposition.
Finds the number of non-zero values in a matrix.
Compute matrix and vector norms.
Compute the matrix pseudo-inverse.
QR decomposition.
Compute the rank of matrix A.
Compute the 1-norm estimate of the reciprocal condition number.
Schur decomposition.
Sparse matrix creation.
Sparse identity matrix creation.
Set non-zero matrix elements to 1.
Singular value decomposition.
Compute the trace of a matrix, the sum of the diagonal elements.
Matrix transpose.
Returns a lower triangular matrix.
Returns a upper triangular matrix.
Reference guides are available for functions and commands supported by OML, Tcl, and Python.
The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
Compute the condition number of a matrix.
Compute the condition number of a matrix.
R = cond(x)
R = cond([1,2,3;4,5,6;7,8,10])
R = 88.4482799
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