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slu.analysis.computeMatrixNorm
Compute the norm of a sparse matrix.
Syntax
slu.analysis.computeMatrixNorm(A, normType?)
Description
Compute the norm of a sparse matrix. Supported norms: - **one**: 1-norm (maximum column sum of absolute values) - **infinity**: ∞-norm (maximum row sum of absolute values) - **frobenius**: Frobenius norm (sqrt of sum of squared elements) - **max**: Max norm (maximum absolute element)
Parameters
| Name | Description |
|---|---|
| A | - Sparse matrix in CSC format |
| normType(optional) | - Type of norm to compute |
Returns
MatrixNormResult