def _run_opf(self, HH, CC, AA, ll, uu, xmin, xmax, x0, opt):
""" Solves the either quadratic or linear program.
"""
N = self._nieq
if HH.nnz > 0:
solution = qps_pips(HH, CC, AA, ll, uu, xmin, xmax, x0, opt)
else:
solution = qps_pips(None, CC, AA, ll, uu, xmin, xmax, x0, opt)
return solution
__author__ = 'Richard Lincoln, [email protected]' """ This example demonstrates how to use the Quadratic Program Solver using a problem from http://www.uc.edu/sashtml/iml/chap8/sect12.htm. """ from numpy import array, zeros, Inf from scipy.sparse import csr_matrix from pips import qps_pips H = csr_matrix(array([[1003.1, 4.3, 6.3, 5.9], [4.3, 2.2, 2.1, 3.9], [6.3, 2.1, 3.5, 4.8], [5.9, 3.9, 4.8, 10 ]])) c = zeros(4) A = csr_matrix(array([[ 1, 1, 1, 1 ], [ 0.17, 0.11, 0.10, 0.18]])) l = array([1, 0.10]) u = array([1, Inf]) xmin = zeros(4) xmax = None x0 = array([1, 0, 0, 1]) solution = qps_pips(H, c, A, l, u, xmin, xmax, x0, {"verbose": True})
# Copyright (C) 1996-2010 Power System Engineering Research Center (PSERC) # Copyright (C) 2007-2010 Richard Lincoln __author__ = 'Richard Lincoln, [email protected]' """ This example demonstrates how to use the Quadratic Program Solver using a problem from http://www.uc.edu/sashtml/iml/chap8/sect12.htm. """ from numpy import array, zeros, Inf from scipy.sparse import csr_matrix from pips import qps_pips H = csr_matrix( array([[1003.1, 4.3, 6.3, 5.9], [4.3, 2.2, 2.1, 3.9], [6.3, 2.1, 3.5, 4.8], [5.9, 3.9, 4.8, 10]])) c = zeros(4) A = csr_matrix(array([[1, 1, 1, 1], [0.17, 0.11, 0.10, 0.18]])) l = array([1, 0.10]) u = array([1, Inf]) xmin = zeros(4) xmax = None x0 = array([1, 0, 0, 1]) solution = qps_pips(H, c, A, l, u, xmin, xmax, x0, {"verbose": True})
