flopscope.accounting.lstsq_cost
flopscope.accounting.lstsq_cost(m, n)[flopscope source]
Weighted FLOP cost of least-squares solution.
Parameters
- m:int
Number of rows in the input matrix.
- n:int
Number of columns in the input matrix.
Returns
- :int
Weighted public cost estimate, floored to match runtime accounting.
Notes
This helper multiplies the analytical FLOP count by the active weight from flopscope._weights and then applies int(...) so public estimates match budget deductions.
NumPy uses LAPACK gelsd (SVD-based) by default.