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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org>
+// Copyright (C) 2012 Desire Nuentsa <desire.nuentsa_wakam@inria.fr>
+//
+// This code initially comes from MINPACK whose original authors are:
+// Copyright Jorge More - Argonne National Laboratory
+// Copyright Burt Garbow - Argonne National Laboratory
+// Copyright Ken Hillstrom - Argonne National Laboratory
+//
+// This Source Code Form is subject to the terms of the Minpack license
+// (a BSD-like license) described in the campaigned CopyrightMINPACK.txt file.
+
+#ifndef EIGEN_LMQRSOLV_H
+#define EIGEN_LMQRSOLV_H
+
+namespace Eigen {
+
+namespace internal {
+
+template <typename Scalar,int Rows, int Cols, typename Index>
+void lmqrsolv(
+ Matrix<Scalar,Rows,Cols> &s,
+ const PermutationMatrix<Dynamic,Dynamic,Index> &iPerm,
+ const Matrix<Scalar,Dynamic,1> &diag,
+ const Matrix<Scalar,Dynamic,1> &qtb,
+ Matrix<Scalar,Dynamic,1> &x,
+ Matrix<Scalar,Dynamic,1> &sdiag)
+{
+
+ /* Local variables */
+ Index i, j, k, l;
+ Scalar temp;
+ Index n = s.cols();
+ Matrix<Scalar,Dynamic,1> wa(n);
+ JacobiRotation<Scalar> givens;
+
+ /* Function Body */
+ // the following will only change the lower triangular part of s, including
+ // the diagonal, though the diagonal is restored afterward
+
+ /* copy r and (q transpose)*b to preserve input and initialize s. */
+ /* in particular, save the diagonal elements of r in x. */
+ x = s.diagonal();
+ wa = qtb;
+
+
+ s.topLeftCorner(n,n).template triangularView<StrictlyLower>() = s.topLeftCorner(n,n).transpose();
+ /* eliminate the diagonal matrix d using a givens rotation. */
+ for (j = 0; j < n; ++j) {
+
+ /* prepare the row of d to be eliminated, locating the */
+ /* diagonal element using p from the qr factorization. */
+ l = iPerm.indices()(j);
+ if (diag[l] == 0.)
+ break;
+ sdiag.tail(n-j).setZero();
+ sdiag[j] = diag[l];
+
+ /* the transformations to eliminate the row of d */
+ /* modify only a single element of (q transpose)*b */
+ /* beyond the first n, which is initially zero. */
+ Scalar qtbpj = 0.;
+ for (k = j; k < n; ++k) {
+ /* determine a givens rotation which eliminates the */
+ /* appropriate element in the current row of d. */
+ givens.makeGivens(-s(k,k), sdiag[k]);
+
+ /* compute the modified diagonal element of r and */
+ /* the modified element of ((q transpose)*b,0). */
+ s(k,k) = givens.c() * s(k,k) + givens.s() * sdiag[k];
+ temp = givens.c() * wa[k] + givens.s() * qtbpj;
+ qtbpj = -givens.s() * wa[k] + givens.c() * qtbpj;
+ wa[k] = temp;
+
+ /* accumulate the tranformation in the row of s. */
+ for (i = k+1; i<n; ++i) {
+ temp = givens.c() * s(i,k) + givens.s() * sdiag[i];
+ sdiag[i] = -givens.s() * s(i,k) + givens.c() * sdiag[i];
+ s(i,k) = temp;
+ }
+ }
+ }
+
+ /* solve the triangular system for z. if the system is */
+ /* singular, then obtain a least squares solution. */
+ Index nsing;
+ for(nsing=0; nsing<n && sdiag[nsing]!=0; nsing++) {}
+
+ wa.tail(n-nsing).setZero();
+ s.topLeftCorner(nsing, nsing).transpose().template triangularView<Upper>().solveInPlace(wa.head(nsing));
+
+ // restore
+ sdiag = s.diagonal();
+ s.diagonal() = x;
+
+ /* permute the components of z back to components of x. */
+ x = iPerm * wa;
+}
+
+template <typename Scalar, int _Options, typename Index>
+void lmqrsolv(
+ SparseMatrix<Scalar,_Options,Index> &s,
+ const PermutationMatrix<Dynamic,Dynamic> &iPerm,
+ const Matrix<Scalar,Dynamic,1> &diag,
+ const Matrix<Scalar,Dynamic,1> &qtb,
+ Matrix<Scalar,Dynamic,1> &x,
+ Matrix<Scalar,Dynamic,1> &sdiag)
+{
+ /* Local variables */
+ typedef SparseMatrix<Scalar,RowMajor,Index> FactorType;
+ Index i, j, k, l;
+ Scalar temp;
+ Index n = s.cols();
+ Matrix<Scalar,Dynamic,1> wa(n);
+ JacobiRotation<Scalar> givens;
+
+ /* Function Body */
+ // the following will only change the lower triangular part of s, including
+ // the diagonal, though the diagonal is restored afterward
+
+ /* copy r and (q transpose)*b to preserve input and initialize R. */
+ wa = qtb;
+ FactorType R(s);
+ // Eliminate the diagonal matrix d using a givens rotation
+ for (j = 0; j < n; ++j)
+ {
+ // Prepare the row of d to be eliminated, locating the
+ // diagonal element using p from the qr factorization
+ l = iPerm.indices()(j);
+ if (diag(l) == Scalar(0))
+ break;
+ sdiag.tail(n-j).setZero();
+ sdiag[j] = diag[l];
+ // the transformations to eliminate the row of d
+ // modify only a single element of (q transpose)*b
+ // beyond the first n, which is initially zero.
+
+ Scalar qtbpj = 0;
+ // Browse the nonzero elements of row j of the upper triangular s
+ for (k = j; k < n; ++k)
+ {
+ typename FactorType::InnerIterator itk(R,k);
+ for (; itk; ++itk){
+ if (itk.index() < k) continue;
+ else break;
+ }
+ //At this point, we have the diagonal element R(k,k)
+ // Determine a givens rotation which eliminates
+ // the appropriate element in the current row of d
+ givens.makeGivens(-itk.value(), sdiag(k));
+
+ // Compute the modified diagonal element of r and
+ // the modified element of ((q transpose)*b,0).
+ itk.valueRef() = givens.c() * itk.value() + givens.s() * sdiag(k);
+ temp = givens.c() * wa(k) + givens.s() * qtbpj;
+ qtbpj = -givens.s() * wa(k) + givens.c() * qtbpj;
+ wa(k) = temp;
+
+ // Accumulate the transformation in the remaining k row/column of R
+ for (++itk; itk; ++itk)
+ {
+ i = itk.index();
+ temp = givens.c() * itk.value() + givens.s() * sdiag(i);
+ sdiag(i) = -givens.s() * itk.value() + givens.c() * sdiag(i);
+ itk.valueRef() = temp;
+ }
+ }
+ }
+
+ // Solve the triangular system for z. If the system is
+ // singular, then obtain a least squares solution
+ Index nsing;
+ for(nsing = 0; nsing<n && sdiag(nsing) !=0; nsing++) {}
+
+ wa.tail(n-nsing).setZero();
+// x = wa;
+ wa.head(nsing) = R.topLeftCorner(nsing,nsing).template triangularView<Upper>().solve/*InPlace*/(wa.head(nsing));
+
+ sdiag = R.diagonal();
+ // Permute the components of z back to components of x
+ x = iPerm * wa;
+}
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_LMQRSOLV_H