You can not select more than 25 topics
			Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
		
		
		
		
		
			
		
			
				
					
					
						
							97 lines
						
					
					
						
							3.5 KiB
						
					
					
				
			
		
		
		
			
			
			
				
					
				
				
					
				
			
		
		
	
	
							97 lines
						
					
					
						
							3.5 KiB
						
					
					
				
								// This file is part of Eigen, a lightweight C++ template library
							 | 
						|
								// for linear algebra.
							 | 
						|
								//
							 | 
						|
								// Copyright (C) 2011 Gael Guennebaud <gael.guennebaud@inria.fr>
							 | 
						|
								//
							 | 
						|
								// This Source Code Form is subject to the terms of the Mozilla
							 | 
						|
								// Public License v. 2.0. If a copy of the MPL was not distributed
							 | 
						|
								// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
							 | 
						|
								
							 | 
						|
								#ifndef STORMEIGEN_BAND_TRIANGULARSOLVER_H
							 | 
						|
								#define STORMEIGEN_BAND_TRIANGULARSOLVER_H
							 | 
						|
								
							 | 
						|
								namespace internal {
							 | 
						|
								
							 | 
						|
								 /* \internal
							 | 
						|
								  * Solve Ax=b with A a band triangular matrix
							 | 
						|
								  * TODO: extend it to matrices for x abd b */
							 | 
						|
								template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, int StorageOrder>
							 | 
						|
								struct band_solve_triangular_selector;
							 | 
						|
								
							 | 
						|
								
							 | 
						|
								template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar>
							 | 
						|
								struct band_solve_triangular_selector<Index,Mode,LhsScalar,ConjLhs,RhsScalar,RowMajor>
							 | 
						|
								{
							 | 
						|
								  typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,RowMajor>, 0, OuterStride<> > LhsMap;
							 | 
						|
								  typedef Map<Matrix<RhsScalar,Dynamic,1> > RhsMap;
							 | 
						|
								  enum { IsLower = (Mode&Lower) ? 1 : 0 };
							 | 
						|
								  static void run(Index size, Index k, const LhsScalar* _lhs, Index lhsStride, RhsScalar* _other)
							 | 
						|
								  {
							 | 
						|
								    const LhsMap lhs(_lhs,size,k+1,OuterStride<>(lhsStride));
							 | 
						|
								    RhsMap other(_other,size,1);
							 | 
						|
								    typename internal::conditional<
							 | 
						|
								                          ConjLhs,
							 | 
						|
								                          const CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>,LhsMap>,
							 | 
						|
								                          const LhsMap&>
							 | 
						|
								                        ::type cjLhs(lhs);
							 | 
						|
								                        
							 | 
						|
								    for(int col=0 ; col<other.cols() ; ++col)
							 | 
						|
								    {
							 | 
						|
								      for(int ii=0; ii<size; ++ii)
							 | 
						|
								      {
							 | 
						|
								        int i = IsLower ? ii : size-ii-1;
							 | 
						|
								        int actual_k = (std::min)(k,ii);
							 | 
						|
								        int actual_start = IsLower ? k-actual_k : 1;
							 | 
						|
								        
							 | 
						|
								        if(actual_k>0)
							 | 
						|
								          other.coeffRef(i,col) -= cjLhs.row(i).segment(actual_start,actual_k).transpose()
							 | 
						|
								                                  .cwiseProduct(other.col(col).segment(IsLower ? i-actual_k : i+1,actual_k)).sum();
							 | 
						|
								
							 | 
						|
								        if((Mode&UnitDiag)==0)
							 | 
						|
								          other.coeffRef(i,col) /= cjLhs(i,IsLower ? k : 0);
							 | 
						|
								      }
							 | 
						|
								    }
							 | 
						|
								  }
							 | 
						|
								  
							 | 
						|
								};
							 | 
						|
								
							 | 
						|
								template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar>
							 | 
						|
								struct band_solve_triangular_selector<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ColMajor>
							 | 
						|
								{
							 | 
						|
								  typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > LhsMap;
							 | 
						|
								  typedef Map<Matrix<RhsScalar,Dynamic,1> > RhsMap;
							 | 
						|
								  enum { IsLower = (Mode&Lower) ? 1 : 0 };
							 | 
						|
								  static void run(Index size, Index k, const LhsScalar* _lhs, Index lhsStride, RhsScalar* _other)
							 | 
						|
								  {
							 | 
						|
								    const LhsMap lhs(_lhs,k+1,size,OuterStride<>(lhsStride));
							 | 
						|
								    RhsMap other(_other,size,1);
							 | 
						|
								    typename internal::conditional<
							 | 
						|
								                          ConjLhs,
							 | 
						|
								                          const CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>,LhsMap>,
							 | 
						|
								                          const LhsMap&>
							 | 
						|
								                        ::type cjLhs(lhs);
							 | 
						|
								                        
							 | 
						|
								    for(int col=0 ; col<other.cols() ; ++col)
							 | 
						|
								    {
							 | 
						|
								      for(int ii=0; ii<size; ++ii)
							 | 
						|
								      {
							 | 
						|
								        int i = IsLower ? ii : size-ii-1;
							 | 
						|
								        int actual_k = (std::min)(k,size-ii-1);
							 | 
						|
								        int actual_start = IsLower ? 1 : k-actual_k;
							 | 
						|
								        
							 | 
						|
								        if((Mode&UnitDiag)==0)
							 | 
						|
								          other.coeffRef(i,col) /= cjLhs(IsLower ? 0 : k, i);
							 | 
						|
								
							 | 
						|
								        if(actual_k>0)
							 | 
						|
								          other.col(col).segment(IsLower ? i+1 : i-actual_k, actual_k)
							 | 
						|
								              -= other.coeff(i,col) * cjLhs.col(i).segment(actual_start,actual_k);
							 | 
						|
								        
							 | 
						|
								      }
							 | 
						|
								    }
							 | 
						|
								  }
							 | 
						|
								};
							 | 
						|
								
							 | 
						|
								
							 | 
						|
								} // end namespace internal
							 | 
						|
								
							 | 
						|
								#endif // STORMEIGEN_BAND_TRIANGULARSOLVER_H
							 |