Example #1
0
 def get_iJ(self):
     iJlu = self.xtf.get_iJlu()
     iJ0 = bem.BlockedDiscreteOperator(2, 2)
     iJ0[0, 0], iJ0[1, 1] = iJlu, iJlu
     iJ1 = bem.BlockedDiscreteOperator(2, 2)
     iJ1[0, 0], iJ1[1, 1] = iJlu, iJlu
     iJ = bem.BlockedDiscreteOperator(2, 2)
     iJ[0, 0], iJ[1, 1] = iJ0, iJ1
     return iJ
Example #2
0
    def iJ_weak_form(self):
        self._collect()

        if self._iJ_assembled:
            return self.iJlu

        tinit = time()

        print('==Factorization LU: J')

        if self._J_is == 'Sp':
            self.iJlu = spla.splu(self.Jw)
            self.tassembiJ = time() - tinit
            self._iJ_assembled = True

            print('##time sparse J=LU: {}'.format(self.tassembiJ))
            return self.iJlu

        Jw = self.opI.weak_form()

        N = len(self.domains)
        dtype = self.dtype

        iJlu = bem.BlockedDiscreteOperator(N, N)
        for ii in range(N):
            Jb = Jw[ii, ii]
            Jd, Jn = Jb[0, 0], Jb[1, 1]

            js = Jd.sparse_operator
            js = js.astype(dtype)
            js = spla.splu(js)
            iJd = Bridge(js.shape, dot=js.solve, dtype=dtype)

            js = Jn.sparse_operator
            js = js.astype(dtype)
            js = spla.splu(js)
            iJn = Bridge(js.shape, dot=js.solve, dtype=dtype)

            iJloc = bem.BlockedDiscreteOperator(2, 2)
            iJloc[0, 0], iJloc[1, 1] = iJd, iJn

            iJlu[ii, ii] = iJloc
        self.iJlu = iJlu
        self.tassembiJ = time() - tinit
        self._iJ_assembled = True

        print('##time blocked J=LU: {}'.format(self.tassembiJ))
        return self.iJlu
Example #3
0
    def upper(self):
        print('==building Upper: E', flush=True)
        domains = self.domains
        dtype = self.dtype
        N = len(domains)

        if self._J_is == 'CSC':
            Jw = self.opI.weak_form()
        else:
            Jw = self.J_weak_form(self._J_is)
        # Xw = self.X_weak_form(self._X_is)
        Xw = self.opX.weak_form()
        ## not nice, because the type conversion is done 2 times
        ## need to fix with the Bridge

        tt = time()
        E = bem.BlockedDiscreteOperator(N, N)
        for dom in domains:
            ii = domains.getIndexDom(dom['name'])
            Jb = Jw[ii, ii]
            es = Bridge(Jb.shape, dot=lambda x: 0.0 * x, dtype=dtype)
            E[ii, ii] = es

            for d in domains.getNeighborOf(dom['name']):
                jj = domains.getIndexDom(d['name'])
                if jj > ii:
                    Xij = Xw[ii, jj]
                    Xd, Xn = Xij[0, 0], Xij[1, 1]

                    ed = Xd.sparse_operator
                    ed = ed.astype(dtype)
                    en = Xn.sparse_operator
                    en = en.astype(dtype)

                    es = bem.BlockedDiscreteOperator(2, 2)
                    es[0, 0], es[1, 1] = ed, en

                    E[ii, jj] = es
        print('##time to build E: {}'.format(time() - tt), flush=True)
        E = spla.LinearOperator(self.shape, matvec=E.matvec, dtype=self.dtype)

        return E
Example #4
0
    def X_weak_form(self, X_is='Blocked'):
        self._collect()

        if self._X_assembled:
            return self.Xw

        tinit = time()

        domains = self.domains
        dtype = self.dtype

        print('==Coupling assembling: X', end=' ')
        Xw = self.opX.weak_form()
        self._check_shape(Xw.shape)

        if X_is == 'Blocked':
            self._X_is = 'Blocked'
            self.Xw = Xw
            self._X_assembled = True
            self.tassembX = time() - tinit
            print('Blocked time: {0}'.format(time() - tinit))
            return self.Xw

        N = len(domains)
        for dom in domains:
            ii = domains.getIndexDom(dom['name'])
            for d in domains.getNeighborOf(dom['name']):
                jj = domains.getIndexDom(d['name'])
                Xb = Xw[ii, jj]
                Xd, Xn = Xb[0, 0], Xb[1, 1]

                xs = Xd.sparse_operator
                xs = xs.astype(dtype)
                Xd = Bridge(xs.shape, dot=xs.dot, dtype=dtype)

                xs = Xn.sparse_operator
                xs = xs.astype(dtype)
                Xn = Bridge(xs.shape, dot=xs.dot, dtype=dtype)

                Xloc = bem.BlockedDiscreteOperator(2, 2)
                Xloc[0, 0], Xloc[1, 1] = Xd, Xn

                Xw[ii, jj] = Xloc
        self.Xw = Xw
        self._X_assembled = True
        self._X_is = 'BlockedDiscrete'
        self.tassembX = time() - tinit
        print('BlockedDiscrete time: {0}'.format(time() - tinit))
        return self.Xw
Example #5
0
def get_Diag(spaces, get_op,  k=None):
    if k is None:
        k = [None, None]

    D = bem.BlockedDiscreteOperator(2, 2)

    op0 = get_op(spaces, k[0], sign=1)
    op1 = get_op(spaces, k[1], sign=-1)

    for ii, op in enumerate([op0, op1]):
        try:
            Dw = op.weak_form()
        except:
            Dw = op
        D[ii, ii] = Dw

    return D
Example #6
0
def get_iJi(spaces, k=None, sign=None):
    tt = time()

    iJ = bem.BlockedDiscreteOperator(2, 2)

    opJ = get_opJi(spaces)
    opId, opIn = opJ[0, 0], opJ[1, 1]

    for ii, opI in enumerate([opId, opIn]):
        Iw = opI.weak_form()
        II = Iw.sparse_operator
        II = II.astype(complex)
        iII = spla.splu(II)
        iIl = spla.LinearOperator(II.shape, matvec=iII.solve, dtype=complex)
        iJ[ii, ii] = iIl

    #print("compute iJ:", time()-tt)
    return iJ
Example #7
0
    def J_weak_form(self, J_is='Sp'):
        self._collect()

        if self._J_assembled:
            return self.Jw

        tinit = time()

        domains = self.domains
        dtype = self.dtype

        print('==Identity assembling: J')
        Jw = self.opI.weak_form()
        self._check_shape(Jw.shape)

        if J_is == 'Blocked':
            self._J_blocked = 'Blocked'
            self.Jw = Jw
            self.tassembJ = time() - tinit
            self._J_assembled = True
            return self.Jw

        if J_is == 'BlockedDiscrete':
            N = len(domains)
            for ii in range(N):
                Jb = Jw[ii, ii]
                Jd, Jn = Jb[0, 0], Jb[1, 1]

                js = Jd.sparse_operator
                js = js.astype(dtype)
                Jd = Bridge(js.shape, dot=js.dot, dtype=dtype)

                js = Jn.sparse_operator
                js = js.astype(dtype)
                Jn = Bridge(js.shape, dot=js.dot, dtype=dtype)

                Jloc = bem.BlockedDiscreteOperator(2, 2)
                Jloc[0, 0], Jloc[1, 1] = Jd, Jn

                Jw[ii, ii] = Jloc
            self.Jw = Jw
            self.tassembJ = time() - tinit
            self._J_assembled = True
            return self.Jw

        tt = time()
        Jsp = sp.lil_matrix(Jw.shape, dtype=np.float)
        row_start, col_start = 0, 0
        row_end, col_end = 0, 0
        for ii in range(len(domains)):
            Jb = Jw[ii, ii]
            Jd, Jn = Jb[0, 0], Jb[1, 1]

            #mat = bem.as_matrix(Jd)
            mat = Jd.sparse_operator.toarray()
            #mat = sp.lil_matrix(mat, dtype=dtype)
            r, c = mat.shape

            row_end += r
            col_end += c
            Jsp[row_start:row_end, col_start:col_end] = mat
            row_start, col_start = row_end, col_end

            #mat = bem.as_matrix(Jn)
            mat = Jn.sparse_operator.toarray()
            #mat = sp.lil_matrix(mat, dtype=dtype)
            r, c = mat.shape

            row_end += r
            col_end += c
            Jsp[row_start:row_end, col_start:col_end] = mat
            row_start, col_start = row_end, col_end
        Jsp = Jsp.astype(dtype)
        self.Jw = Jsp.tocsc()
        self._J_blocked = 'sparse'
        print('##time convert Identity to {0} CSC: {1}'.format(
            dtype,
            time() - tt))
        self.tassembJ = time() - tinit
        self._J_assembled = True
        return self.Jw
Example #8
0
I0 = II0.sparse_operator
I1 = II1.sparse_operator

opJ = bem.BlockedOperator(2, 2)
opJ[0, 0], opJ[1, 1] = opI0, opI1

Jw = opJ.weak_form()

iI0_lu = spla.splu(I0)
iI1_lu = spla.splu(I1)

iI0 = spla.LinearOperator(I0.shape, matvec=iI0_lu.solve)
iI1 = spla.LinearOperator(I1.shape, matvec=iI1_lu.solve)

iJb = bem.BlockedDiscreteOperator(2, 2)
iJb[0, 0], iJb[1, 1] = iI0, iI1

opJt = bem.BlockedOperator(2, 2)
opJt[0, 1], opJt[1, 0] = opI01, opI10

tJw = opJt.weak_form()

print('\n==Projection by Pseudo-Inverse')
II01 = opI01.weak_form()
II10 = opI10.weak_form()

I01 = II01.sparse_operator
I10 = II10.sparse_operator

tt = time()
Example #9
0
def get_X(spaces):
    X = bem.BlockedDiscreteOperator(2, 2)
    opX = get_opXij(spaces)
    Xw = opX.weak_form()
    X[0, 1], X[1, 0] = Xw, Xw
    return X