invo.utils package¶

Submodules¶

invo.utils.fwdutils.fit_convex_hull(points)¶

Creates a feasible set by taking a convex hull of the points given. Returns P = { x : Ax >= b }

Parameters:	points (list) – Set of numpy points.
Returns:	constraint matrix b (numpy): constraint vector
Return type:	A (numpy)

invo.utils.invoutils.checkFeasibility(points, A, b, tol=8)¶

Check if the set of points satisfy A x >= b.

Parameters:	points (list) – set of numpy points. A (list) – numpy matrix. b (list) – numpy vector.

invo.utils.invoutils.validateFOP(A, b)¶: Validate that A, b are numpy matrices with the appropriate structure.