How to use the qpsolvers.cvxopt_.cvxopt_solve_qp function in qpsolvers
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stephane-caron / qpsolvers / qpsolvers / mosek_.py View on Github 
Linear inequality constraint matrix.
h : numpy.array, cvxopt.matrix or cvxopt.spmatrix
Linear inequality constraint vector.
A : numpy.array, cvxopt.matrix or cvxopt.spmatrix
Linear equality constraint matrix.
b : numpy.array, cvxopt.matrix or cvxopt.spmatrix
Linear equality constraint vector.
initvals : numpy.array, optional
Warm-start guess vector.
Returns
-------
x : numpy.array
Solution to the QP, if found, otherwise ``None``.
"""
return cvxopt_solve_qp(P, q, G, h, A, b, 'mosek', initvals)
qpsolvers
Quadratic programming solvers in Python with a unified API.
