bundles / scipy latest / scipy / optimize / _lsq / common / solve_trust_region_2d

function

`scipy.optimize._lsq.common:solve_trust_region_2d`

source: /scipy/optimize/_lsq/common.py :171

Signature

def solve_trust_region_2d ( B , g , Delta )

Summary

Solve a general trust-region problem in 2 dimensions.

Extended Summary

The problem is reformulated as a 4th order algebraic equation, the solution of which is found by numpy.roots.

Parameters

B : ndarray, shape (2, 2): Symmetric matrix, defines a quadratic term of the function.
g : ndarray, shape (2,): Defines a linear term of the function.
Delta : float: Radius of a trust region.

Returns

p : ndarray, shape (2,): Found solution.
newton_step : bool: Whether the returned solution is the Newton step which lies within the trust region.

Aliases

scipy.optimize._lsq.common.solve_trust_region_2d