ScipyLinearLSQ#

class cuqi.solver.ScipyLinearLSQ(A, b, bounds=(-inf, inf), **kwargs)#

Wrapper for scipy.optimize.lsq_linear().

Solve linear least-squares problems with bounds:

\[\min \|A x - b\|_2^2\]

subject to \(lb <= x <= ub\).

Parameters:

  • A (ndarray, LinearOperator) – Design matrix (system matrix).

  • b (ndarray) – The right-hand side of the linear system.

  • bounds (2-tuple of array_like or scipy.optimize Bounds) – Bounds for variables.

  • kwargs (Other keyword arguments passed to Scipy’s lsq_linear. See documentation of scipy.optimize.lsq_linear for details.)

__init__(A, b, bounds=(-inf, inf), **kwargs)#

Methods

__init__(A, b[, bounds])

solve()

Runs optimization algorithm and returns solution and optimization information.