pNorm.py 文件源码

def FOP(self, A, b):
        """ Create a forward optimization problem.

        Args:
            A (matrix): numpy matrix of shape :math:`m \\times n`.
            b (matrix): numpy matrix of shape :math:`m \\times 1`.

        Currently, the forward problem is constructed by the user supplying a
        constraint matrix `A` and vector `b`. The forward problem is

        .. math::

            \min_{\mathbf{x}} \quad&\mathbf{c'x}

            \\text{s.t} \quad&\mathbf{A x \geq b}
        """
        #self.A = np.mat(A)
        #self.b = np.mat(b)
        self.A, self.b = validateFOP(A, b)
        self._fop = True