Rename LSCG to LeastSquaresConjugateGradient

Eigen/IterativeLinearSolvers

@@ -12,7 +12,7 @@
   * This module currently provides iterative methods to solve problems of the form \c A \c x = \c b, where \c A is a squared matrix, usually very large and sparse.
   * Those solvers are accessible via the following classes:
   *  - ConjugateGradient for selfadjoint (hermitian) matrices,
-  *  - LSCG for rectangular least-square problems,
+  *  - LeastSquaresConjugateGradient for rectangular least-square problems,
   *  - BiCGSTAB for general square matrices.
   *
   * These iterative solvers are associated with some preconditioners:

Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h

@@ -102,7 +102,7 @@ class DiagonalPreconditioner
 };
 
 /** \ingroup IterativeLinearSolvers_Module
-  * \brief Jacobi preconditioner for LSCG
+  * \brief Jacobi preconditioner for LeastSquaresConjugateGradient
   *
   * This class allows to approximately solve for A' A x  = A' b problems assuming A' A is a diagonal matrix.
   * In other words, this preconditioner neglects all off diagonal entries and, in Eigen's language, solves for:
@@ -114,7 +114,7 @@ class DiagonalPreconditioner
   *
   * The diagonal entries are pre-inverted and stored into a dense vector.
   * 
-  * \sa class LSCG, class DiagonalPreconditioner
+  * \sa class LeastSquaresConjugateGradient, class DiagonalPreconditioner
   */
 template <typename _Scalar>
 class LeastSquareDiagonalPreconditioner : public DiagonalPreconditioner<_Scalar>

Eigen/src/IterativeLinearSolvers/ConjugateGradient.h

@@ -139,7 +139,7 @@ struct traits<ConjugateGradient<_MatrixType,_UpLo,_Preconditioner> >
   * By default the iterations start with x=0 as an initial guess of the solution.
   * One can control the start using the solveWithGuess() method.
   * 
-  * \sa class LSCG, class SimplicialCholesky, DiagonalPreconditioner, IdentityPreconditioner
+  * \sa class LeastSquaresConjugateGradient, class SimplicialCholesky, DiagonalPreconditioner, IdentityPreconditioner
   */
 template< typename _MatrixType, int _UpLo, typename _Preconditioner>
 class ConjugateGradient : public IterativeSolverBase<ConjugateGradient<_MatrixType,_UpLo,_Preconditioner> >

Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h

@@ -95,12 +95,12 @@ void least_square_conjugate_gradient(const MatrixType& mat, const Rhs& rhs, Dest
 
 template< typename _MatrixType,
           typename _Preconditioner = LeastSquareDiagonalPreconditioner<typename _MatrixType::Scalar> >
-class LSCG;
+class LeastSquaresConjugateGradient;
 
 namespace internal {
 
 template< typename _MatrixType, typename _Preconditioner>
-struct traits<LSCG<_MatrixType,_Preconditioner> >
+struct traits<LeastSquaresConjugateGradient<_MatrixType,_Preconditioner> >
 {
   typedef _MatrixType MatrixType;
   typedef _Preconditioner Preconditioner;
@@ -129,7 +129,7 @@ struct traits<LSCG<_MatrixType,_Preconditioner> >
     VectorXd x(n), b(m);
     SparseMatrix<double> A(m,n);
     // fill A and b
-    LSCG<SparseMatrix<double> > lscg;
+    LeastSquaresConjugateGradient<SparseMatrix<double> > lscg;
     lscg.compute(A);
     x = lscg.solve(b);
     std::cout << "#iterations:     " << lscg.iterations() << std::endl;
@@ -144,9 +144,9 @@ struct traits<LSCG<_MatrixType,_Preconditioner> >
   * \sa class ConjugateGradient, SparseLU, SparseQR
   */
 template< typename _MatrixType, typename _Preconditioner>
-class LSCG : public IterativeSolverBase<LSCG<_MatrixType,_Preconditioner> >
+class LeastSquaresConjugateGradient : public IterativeSolverBase<LeastSquaresConjugateGradient<_MatrixType,_Preconditioner> >
 {
-  typedef IterativeSolverBase<LSCG> Base;
+  typedef IterativeSolverBase<LeastSquaresConjugateGradient> Base;
   using Base::mp_matrix;
   using Base::m_error;
   using Base::m_iterations;
@@ -161,7 +161,7 @@ public:
 public:
 
   /** Default constructor. */
-  LSCG() : Base() {}
+  LeastSquaresConjugateGradient() : Base() {}
 
   /** Initialize the solver with matrix \a A for further \c Ax=b solving.
     * 
@@ -173,9 +173,9 @@ public:
     * this class becomes invalid. Call compute() to update it with the new
     * matrix A, or modify a copy of A.
     */
-  explicit LSCG(const MatrixType& A) : Base(A) {}
+  explicit LeastSquaresConjugateGradient(const MatrixType& A) : Base(A) {}
 
-  ~LSCG() {}
+  ~LeastSquaresConjugateGradient() {}
 
   /** \internal */
   template<typename Rhs,typename Dest>

test/lscg.cpp

@@ -12,8 +12,8 @@
 
 template<typename T> void test_lscg_T()
 {
-  LSCG<SparseMatrix<T> > lscg_colmajor_diag;
+  LeastSquaresConjugateGradient<SparseMatrix<T> > lscg_colmajor_diag;
-  LSCG<SparseMatrix<T>, IdentityPreconditioner> lscg_colmajor_I;
+  LeastSquaresConjugateGradient<SparseMatrix<T>, IdentityPreconditioner> lscg_colmajor_I;
 
   CALL_SUBTEST( check_sparse_square_solving(lscg_colmajor_diag)  );
   CALL_SUBTEST( check_sparse_square_solving(lscg_colmajor_I)     );