示例#1
0
    def rhochange(self):
        """Updated cached c array when rho changes."""

        if self.opt['HighMemSolve']:
            self.c = sl.solvedbd_sm_c(
                self.gDf, np.conj(self.gDf),
                (self.mu / self.rho) * self.GHGf + 1.0, self.cri.axisM)
示例#2
0
文件: pdcsc.py 项目: bwohlberg/sporco
    def rhochange(self):
        """Updated cached c array when rho changes."""

        if self.opt['HighMemSolve']:
            self.c = sl.solvedbd_sm_c(
                self.gDf, np.conj(self.gDf),
                (self.mu / self.rho) * self.GHGf + 1.0, self.cri.axisM)
示例#3
0
    def setdict(self, D=None, B=None):
        """Set dictionary array."""

        if D is not None:
            self.D = np.asarray(D, dtype=self.dtype)
        if B is not None:
            self.B = np.asarray(B, dtype=self.dtype)

        if B is not None or not hasattr(self, 'Gamma'):
            self.Gamma, self.Q = np.linalg.eigh(self.B.T.dot(self.B))
            self.Gamma = np.abs(self.Gamma)

        if D is not None or not hasattr(self, 'Df'):
            self.Df = sl.rfftn(self.D, self.cri.Nv, self.cri.axisN)

        # Fold square root of Gamma into the dictionary array to enable
        # use of the solvedbi_sm solver
        shpg = [1] * len(self.cri.shpD)
        shpg[self.cri.axisC] = self.Gamma.shape[0]
        Gamma2 = np.sqrt(self.Gamma).reshape(shpg)
        self.gDf = Gamma2 * self.Df

        if self.opt['HighMemSolve']:
            self.c = sl.solvedbd_sm_c(
                self.gDf, np.conj(self.gDf),
                (self.mu / self.rho) * self.GHGf + 1.0, self.cri.axisM)
        else:
            self.c = None
示例#4
0
文件: pdcsc.py 项目: bwohlberg/sporco
    def setdict(self, D=None, B=None):
        """Set dictionary array."""

        if D is not None:
            self.D = np.asarray(D, dtype=self.dtype)
        if B is not None:
            self.B = np.asarray(B, dtype=self.dtype)

        if B is not None or not hasattr(self, 'Gamma'):
            self.Gamma, self.Q = np.linalg.eigh(self.B.T.dot(self.B))
            self.Gamma = np.abs(self.Gamma)

        if D is not None or not hasattr(self, 'Df'):
            self.Df = sl.rfftn(self.D, self.cri.Nv, self.cri.axisN)

        # Fold square root of Gamma into the dictionary array to enable
        # use of the solvedbi_sm solver
        shpg = [1] * len(self.cri.shpD)
        shpg[self.cri.axisC] = self.Gamma.shape[0]
        Gamma2 = np.sqrt(self.Gamma).reshape(shpg)
        self.gDf = Gamma2 * self.Df

        if self.opt['HighMemSolve']:
            self.c = sl.solvedbd_sm_c(
                self.gDf, np.conj(self.gDf),
                (self.mu / self.rho) * self.GHGf + 1.0, self.cri.axisM)
        else:
            self.c = None