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authorNao Pross <np@0hm.ch>2024-02-12 14:52:43 +0100
committerNao Pross <np@0hm.ch>2024-02-12 14:52:43 +0100
commiteda5bc26f44ee9a6f83dcf8c91f17296d7fc509d (patch)
treebc2efa38ff4e350f9a111ac87065cd7ae9a911c7 /src/armadillo/include/armadillo_bits/spop_diagmat_meat.hpp
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+// SPDX-License-Identifier: Apache-2.0
+//
+// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au)
+// Copyright 2008-2016 National ICT Australia (NICTA)
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+// ------------------------------------------------------------------------
+
+
+//! \addtogroup spop_diagmat
+//! @{
+
+
+
+template<typename T1>
+inline
+void
+spop_diagmat::apply(SpMat<typename T1::elem_type>& out, const SpOp<T1, spop_diagmat>& in)
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::elem_type eT;
+
+ if(in.is_alias(out) == false)
+ {
+ spop_diagmat::apply_noalias(out, in.m);
+ }
+ else
+ {
+ SpMat<eT> tmp;
+
+ spop_diagmat::apply_noalias(tmp, in.m);
+
+ out.steal_mem(tmp);
+ }
+ }
+
+
+
+template<typename T1>
+inline
+void
+spop_diagmat::apply_noalias(SpMat<typename T1::elem_type>& out, const SpBase<typename T1::elem_type, T1>& expr)
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::elem_type eT;
+
+ const SpProxy<T1> P(expr.get_ref());
+
+ const uword P_n_rows = P.get_n_rows();
+ const uword P_n_cols = P.get_n_cols();
+ const uword P_n_nz = P.get_n_nonzero();
+
+ const bool P_is_vec = (P_n_rows == 1) || (P_n_cols == 1);
+
+ if(P_is_vec) // generate a diagonal matrix out of a vector
+ {
+ const uword N = (P_n_rows == 1) ? P_n_cols : P_n_rows;
+
+ out.zeros(N, N);
+
+ if(P_n_nz == 0) { return; }
+
+ typename SpProxy<T1>::const_iterator_type it = P.begin();
+
+ if(P_n_cols == 1)
+ {
+ for(uword i=0; i < P_n_nz; ++i)
+ {
+ const uword row = it.row();
+
+ out.at(row,row) = (*it);
+
+ ++it;
+ }
+ }
+ else
+ if(P_n_rows == 1)
+ {
+ for(uword i=0; i < P_n_nz; ++i)
+ {
+ const uword col = it.col();
+
+ out.at(col,col) = (*it);
+
+ ++it;
+ }
+ }
+ }
+ else // generate a diagonal matrix out of a matrix
+ {
+ out.zeros(P_n_rows, P_n_cols);
+
+ const uword N = (std::min)(P_n_rows, P_n_cols);
+
+ if( (is_SpMat<typename SpProxy<T1>::stored_type>::value) && (P_n_nz >= 5*N) )
+ {
+ const unwrap_spmat<typename SpProxy<T1>::stored_type> U(P.Q);
+
+ const SpMat<eT>& X = U.M;
+
+ for(uword i=0; i < N; ++i)
+ {
+ const eT val = X.at(i,i); // use binary search
+
+ if(val != eT(0)) { out.at(i,i) = val; }
+ }
+ }
+ else
+ {
+ if(P_n_nz == 0) { return; }
+
+ typename SpProxy<T1>::const_iterator_type it = P.begin();
+
+ for(uword i=0; i < P_n_nz; ++i)
+ {
+ const uword row = it.row();
+ const uword col = it.col();
+
+ if(row == col) { out.at(row,row) = (*it); }
+
+ ++it;
+ }
+ }
+ }
+ }
+
+
+
+template<typename T1, typename T2>
+inline
+void
+spop_diagmat::apply_noalias(SpMat<typename T1::elem_type>& out, const SpGlue<T1,T2,spglue_plus>& expr)
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::elem_type eT;
+
+ const unwrap_spmat<T1> UA(expr.A);
+ const unwrap_spmat<T2> UB(expr.B);
+
+ const SpMat<eT>& A = UA.M;
+ const SpMat<eT>& B = UB.M;
+
+ arma_debug_assert_same_size(A.n_rows, A.n_cols, B.n_rows, B.n_cols, "addition");
+
+ const bool is_vec = (A.n_rows == 1) || (A.n_cols == 1);
+
+ if(is_vec) // generate a diagonal matrix out of a vector
+ {
+ const uword N = (A.n_rows == 1) ? A.n_cols : A.n_rows;
+
+ out.zeros(N,N);
+
+ if(A.n_rows == 1)
+ {
+ for(uword i=0; i < N; ++i) { out.at(i,i) = A.at(0,i) + B.at(0,i); }
+ }
+ else
+ {
+ for(uword i=0; i < N; ++i) { out.at(i,i) = A.at(i,0) + B.at(i,0); }
+ }
+ }
+ else // generate a diagonal matrix out of a matrix
+ {
+ SpMat<eT> AA; spop_diagmat::apply_noalias(AA, A);
+ SpMat<eT> BB; spop_diagmat::apply_noalias(BB, B);
+
+ out = AA + BB;
+ }
+ }
+
+
+
+template<typename T1, typename T2>
+inline
+void
+spop_diagmat::apply_noalias(SpMat<typename T1::elem_type>& out, const SpGlue<T1,T2,spglue_minus>& expr)
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::elem_type eT;
+
+ const unwrap_spmat<T1> UA(expr.A);
+ const unwrap_spmat<T2> UB(expr.B);
+
+ const SpMat<eT>& A = UA.M;
+ const SpMat<eT>& B = UB.M;
+
+ arma_debug_assert_same_size(A.n_rows, A.n_cols, B.n_rows, B.n_cols, "subtraction");
+
+ const bool is_vec = (A.n_rows == 1) || (A.n_cols == 1);
+
+ if(is_vec) // generate a diagonal matrix out of a vector
+ {
+ const uword N = (A.n_rows == 1) ? A.n_cols : A.n_rows;
+
+ out.zeros(N,N);
+
+ if(A.n_rows == 1)
+ {
+ for(uword i=0; i < N; ++i) { out.at(i,i) = A.at(0,i) - B.at(0,i); }
+ }
+ else
+ {
+ for(uword i=0; i < N; ++i) { out.at(i,i) = A.at(i,0) - B.at(i,0); }
+ }
+ }
+ else // generate a diagonal matrix out of a matrix
+ {
+ SpMat<eT> AA; spop_diagmat::apply_noalias(AA, A);
+ SpMat<eT> BB; spop_diagmat::apply_noalias(BB, B);
+
+ out = AA - BB;
+ }
+ }
+
+
+
+template<typename T1, typename T2>
+inline
+void
+spop_diagmat::apply_noalias(SpMat<typename T1::elem_type>& out, const SpGlue<T1,T2,spglue_schur>& expr)
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::elem_type eT;
+
+ const unwrap_spmat<T1> UA(expr.A);
+ const unwrap_spmat<T2> UB(expr.B);
+
+ const SpMat<eT>& A = UA.M;
+ const SpMat<eT>& B = UB.M;
+
+ arma_debug_assert_same_size(A.n_rows, A.n_cols, B.n_rows, B.n_cols, "element-wise multiplication");
+
+ const bool is_vec = (A.n_rows == 1) || (A.n_cols == 1);
+
+ if(is_vec) // generate a diagonal matrix out of a vector
+ {
+ const uword N = (A.n_rows == 1) ? A.n_cols : A.n_rows;
+
+ out.zeros(N,N);
+
+ if(A.n_rows == 1)
+ {
+ for(uword i=0; i < N; ++i) { out.at(i,i) = A.at(0,i) * B.at(0,i); }
+ }
+ else
+ {
+ for(uword i=0; i < N; ++i) { out.at(i,i) = A.at(i,0) * B.at(i,0); }
+ }
+ }
+ else // generate a diagonal matrix out of a matrix
+ {
+ SpMat<eT> AA; spop_diagmat::apply_noalias(AA, A);
+ SpMat<eT> BB; spop_diagmat::apply_noalias(BB, B);
+
+ out = AA % BB;
+ }
+ }
+
+
+
+template<typename T1, typename T2>
+inline
+void
+spop_diagmat::apply_noalias(SpMat<typename T1::elem_type>& out, const SpGlue<T1,T2,spglue_times>& expr)
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::elem_type eT;
+
+ const unwrap_spmat<T1> UA(expr.A);
+ const unwrap_spmat<T2> UB(expr.B);
+
+ const SpMat<eT>& A = UA.M;
+ const SpMat<eT>& B = UB.M;
+
+ arma_debug_assert_mul_size(A.n_rows, A.n_cols, B.n_rows, B.n_cols, "matrix multiplication");
+
+ const uword C_n_rows = A.n_rows;
+ const uword C_n_cols = B.n_cols;
+
+ const bool is_vec = (C_n_rows == 1) || (C_n_cols == 1);
+
+ if(is_vec) // generate a diagonal matrix out of a vector
+ {
+ const SpMat<eT> C = A*B;
+
+ spop_diagmat::apply_noalias(out, C);
+ }
+ else // generate a diagonal matrix out of a matrix
+ {
+ const uword N = (std::min)(C_n_rows, C_n_cols);
+
+ if( (A.n_nonzero >= 5*N) || (B.n_nonzero >= 5*N) )
+ {
+ out.zeros(C_n_rows, C_n_cols);
+
+ for(uword k=0; k < N; ++k)
+ {
+ typename SpMat<eT>::const_col_iterator B_it = B.begin_col_no_sync(k);
+ typename SpMat<eT>::const_col_iterator B_it_end = B.end_col_no_sync(k);
+
+ eT acc = eT(0);
+
+ while(B_it != B_it_end)
+ {
+ const eT B_val = (*B_it);
+ const uword i = B_it.row();
+
+ acc += A.at(k,i) * B_val;
+
+ ++B_it;
+ }
+
+ out(k,k) = acc;
+ }
+ }
+ else
+ {
+ const SpMat<eT> C = A*B;
+
+ spop_diagmat::apply_noalias(out, C);
+ }
+ }
+ }
+
+
+
+//
+//
+
+
+
+template<typename T1>
+inline
+void
+spop_diagmat2::apply(SpMat<typename T1::elem_type>& out, const SpOp<T1, spop_diagmat2>& in)
+ {
+ arma_extra_debug_sigprint();
+
+ typedef typename T1::elem_type eT;
+
+ const uword row_offset = in.aux_uword_a;
+ const uword col_offset = in.aux_uword_b;
+
+ const unwrap_spmat<T1> U(in.m);
+
+ if(U.is_alias(out))
+ {
+ SpMat<eT> tmp;
+
+ spop_diagmat2::apply_noalias(tmp, U.M, row_offset, col_offset);
+
+ out.steal_mem(tmp);
+ }
+ else
+ {
+ spop_diagmat2::apply_noalias(out, U.M, row_offset, col_offset);
+ }
+ }
+
+
+
+template<typename eT>
+inline
+void
+spop_diagmat2::apply_noalias(SpMat<eT>& out, const SpMat<eT>& X, const uword row_offset, const uword col_offset)
+ {
+ arma_extra_debug_sigprint();
+
+ const uword n_rows = X.n_rows;
+ const uword n_cols = X.n_cols;
+ const uword n_elem = X.n_elem;
+
+ if(n_elem == 0) { out.reset(); return; }
+
+ const bool X_is_vec = (n_rows == 1) || (n_cols == 1);
+
+ if(X_is_vec) // generate a diagonal matrix out of a vector
+ {
+ const uword n_pad = (std::max)(row_offset, col_offset);
+
+ out.zeros(n_elem + n_pad, n_elem + n_pad);
+
+ const uword X_n_nz = X.n_nonzero;
+
+ if(X_n_nz == 0) { return; }
+
+ typename SpMat<eT>::const_iterator it = X.begin();
+
+ if(n_cols == 1)
+ {
+ for(uword i=0; i < X_n_nz; ++i)
+ {
+ const uword row = it.row();
+
+ out.at(row_offset + row, col_offset + row) = (*it);
+
+ ++it;
+ }
+ }
+ else
+ if(n_rows == 1)
+ {
+ for(uword i=0; i < X_n_nz; ++i)
+ {
+ const uword col = it.col();
+
+ out.at(row_offset + col, col_offset + col) = (*it);
+
+ ++it;
+ }
+ }
+ }
+ else // generate a diagonal matrix out of a matrix
+ {
+ arma_debug_check_bounds
+ (
+ ((row_offset > 0) && (row_offset >= n_rows)) || ((col_offset > 0) && (col_offset >= n_cols)),
+ "diagmat(): requested diagonal out of bounds"
+ );
+
+ out.zeros(n_rows, n_cols);
+
+ if(X.n_nonzero == 0) { return; }
+
+ const uword N = (std::min)(n_rows - row_offset, n_cols - col_offset);
+
+ for(uword i=0; i<N; ++i)
+ {
+ const uword row = i + row_offset;
+ const uword col = i + col_offset;
+
+ const eT val = X.at(row,col);
+
+ if(val != eT(0)) { out.at(row,col) = val; }
+ }
+ }
+ }
+
+
+
+//! @}