bundles / scipy 1.18.0 / scipy / optimize / _slsqplib / nnls

built-in

`scipy.optimize._slsqplib:nnls`

Signature

built-innnls(A, b, maxiter)

Summary

Nonnegative least squares solver.

Extended Summary

Solves the constrained optimization problem min ||A x - b||_2 subject to x >= 0.

Parameters

A : ndarray, shape (m, n): Coefficient matrix, float64.
b : ndarray, shape (m,) or (m, 1): Right-hand side vector, float64.
maxiter : int: Maximum number of iterations.

Returns

x : ndarray, shape (n,): Solution vector.
rnorm : float: Residual norm ||A x - b||_2.
info : int: Exit status. 0 indicates successful convergence.

Aliases

scipy.optimize._nnls._nnls