Steps To Reproduce

Trying to compute the euclidean norm (default) on a sparse matrix crashes as it has got no SVD attribute.

sage: version()
'SageMath version 10.6, Release Date: 2025-03-31'
sage: P = Permutation([1, 2, 4, 5, 3])
sage: M = 17/23 * P.to_matrix() + -4/23 * P.inverse().to_matrix()
sage: M.norm()
...
AttributeError: 'sage.matrix.matrix_double_sparse.Matrix_double_sparse' object has no attribute 'SVD'

Expected Behavior

We should still be able to compute its norm.

Actual Behavior

When the matrix is created as a sparse matrix, computing the default norm (euclidean) crashes because sparse matrices don't expose a method used when computing the euclidean norm.

Additional Information

No response

Environment

• OS: Ubuntu 22.04.4 LTS
• Sage Version: 'SageMath version 10.6, Release Date: 2025-03-31'

Checklist

• I have searched the existing issues for a bug report that matches the one I want to file, without success.
• I have read the documentation and troubleshoot guide