1 files changed, 132 insertions, 0 deletions
diff --git a/src/armadillo/include/armadillo_bits/newarp_TridiagEigen_meat.hpp b/src/armadillo/include/armadillo_bits/newarp_TridiagEigen_meat.hpp
new file mode 100644
index 0000000..b11cfec
--- /dev/null
+++ b/src/armadillo/include/armadillo_bits/newarp_TridiagEigen_meat.hpp
@@ -0,0 +1,132 @@
+// 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