pycauset.lstsq

pycauset.lstsq(a, b)

Compute a least-squares solution \(x\) that approximately minimizes:

\[ \|Ax - b\|_2 \]

Parameters

• a (MatrixBase): Coefficient matrix.
• b (VectorBase or MatrixBase): Right-hand side.

Returns

• VectorBase or MatrixBase: The solution \(x\).

Notes

This is an endpoint-first baseline.

• It currently returns only x (unlike numpy.linalg.lstsq, which returns a tuple).
• The baseline implementation uses normal equations: \(x = (A^T A)^{-1} A^T b\).