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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/newarp_TridiagEigen_meat.hpp
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Move into version control
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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.
+// ------------------------------------------------------------------------
+
+
+namespace newarp
+{
+
+
+template<typename eT>
+inline
+TridiagEigen<eT>::TridiagEigen()
+ : n(0)
+ , computed(false)
+ {
+ arma_extra_debug_sigprint();
+ }
+
+
+
+template<typename eT>
+inline
+TridiagEigen<eT>::TridiagEigen(const Mat<eT>& mat_obj)
+ : n(mat_obj.n_rows)
+ , computed(false)
+ {
+ arma_extra_debug_sigprint();
+
+ compute(mat_obj);
+ }
+
+
+
+template<typename eT>
+inline
+void
+TridiagEigen<eT>::compute(const Mat<eT>& mat_obj)
+ {
+ arma_extra_debug_sigprint();
+
+ arma_debug_check( (mat_obj.is_square() == false), "newarp::TridiagEigen::compute(): matrix must be square" );
+
+ n = blas_int(mat_obj.n_rows);
+
+ main_diag = mat_obj.diag();
+ sub_diag = mat_obj.diag(-1);
+
+ evecs.set_size(n, n);
+
+ char compz = 'I';
+ blas_int lwork_min = 1 + 4*n + n*n;
+ blas_int liwork_min = 3 + 5*n;
+ blas_int info = blas_int(0);
+
+ blas_int lwork_proposed = 0;
+ blas_int liwork_proposed = 0;
+
+ if(n >= 32)
+ {
+ eT work_query[2] = {};
+ blas_int lwork_query = blas_int(-1);
+
+ blas_int iwork_query[2] = {};
+ blas_int liwork_query = blas_int(-1);
+
+ arma_extra_debug_print("lapack::stedc()");
+ lapack::stedc(&compz, &n, main_diag.memptr(), sub_diag.memptr(), evecs.memptr(), &n, &work_query[0], &lwork_query, &iwork_query[0], &liwork_query, &info);
+
+ if(info != 0) { arma_stop_runtime_error("lapack::stedc(): couldn't get size of work arrays"); return; }
+
+ lwork_proposed = static_cast<blas_int>( work_query[0] );
+ liwork_proposed = iwork_query[0];
+ }
+
+ blas_int lwork = (std::max)( lwork_min, lwork_proposed);
+ blas_int liwork = (std::max)(liwork_min, liwork_proposed);
+
+ podarray<eT> work( static_cast<uword>( lwork) );
+ podarray<blas_int> iwork( static_cast<uword>(liwork) );
+
+ arma_extra_debug_print("lapack::stedc()");
+ lapack::stedc(&compz, &n, main_diag.memptr(), sub_diag.memptr(), evecs.memptr(), &n, work.memptr(), &lwork, iwork.memptr(), &liwork, &info);
+
+ if(info != 0) { arma_stop_runtime_error("lapack::stedc(): failed to compute all eigenvalues"); return; }
+
+ computed = true;
+ }
+
+
+
+template<typename eT>
+inline
+Col<eT>
+TridiagEigen<eT>::eigenvalues()
+ {
+ arma_extra_debug_sigprint();
+
+ arma_debug_check( (computed == false), "newarp::TridiagEigen::eigenvalues(): need to call compute() first" );
+
+ // After calling compute(), main_diag will contain the eigenvalues.
+ return main_diag;
+ }
+
+
+
+template<typename eT>
+inline
+Mat<eT>
+TridiagEigen<eT>::eigenvectors()
+ {
+ arma_extra_debug_sigprint();
+
+ arma_debug_check( (computed == false), "newarp::TridiagEigen::eigenvectors(): need to call compute() first" );
+
+ return evecs;
+ }
+
+
+} // namespace newarp