From 49a8a1e07a2840f70d0960f0ce88dfe739c9848c Mon Sep 17 00:00:00 2001
From: Essex Edwards <essex.edwards@gmail.com>
Date: Fri, 14 Jan 2022 19:48:54 +0000
Subject: [PATCH] Minor correction/clarification to LSCG solver documentation

---
 Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h | 2 +-
 doc/SparseLinearSystems.dox                                     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h b/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h
index f59fa05b5..f9feb7284 100644
--- a/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h
+++ b/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h
@@ -113,7 +113,7 @@ struct traits<LeastSquaresConjugateGradient<MatrixType_,Preconditioner_> >
 /** \ingroup IterativeLinearSolvers_Module
   * \brief A conjugate gradient solver for sparse (or dense) least-square problems
   *
-  * This class allows to solve for A x = b linear problems using an iterative conjugate gradient algorithm.
+  * This class solves for the least-squares solution to A x = b using an iterative conjugate gradient algorithm.
   * The matrix A can be non symmetric and rectangular, but the matrix A' A should be positive-definite to guaranty stability.
   * Otherwise, the SparseLU or SparseQR classes might be preferable.
   * The matrix A and the vectors x and b can be either dense or sparse.
diff --git a/doc/SparseLinearSystems.dox b/doc/SparseLinearSystems.dox
index a5e3b642c..f208e5862 100644
--- a/doc/SparseLinearSystems.dox
+++ b/doc/SparseLinearSystems.dox
@@ -42,7 +42,7 @@ They are summarized in the following tables:
 
 <tr><td>LeastSquaresConjugateGradient \n <tt>\#include<Eigen/\link IterativeLinearSolvers_Module IterativeLinearSolvers\endlink></tt></td><td>CG for rectangular least-square problem</td><td>Rectangular</td>
     <td>IdentityPreconditioner, [LeastSquareDiagonalPreconditioner]</td>
-    <td>Solve for min |A'Ax-b|^2 without forming A'A</td></tr>
+    <td>Solve for min |Ax-b|^2 without forming A'A</td></tr>
 
 <tr><td>BiCGSTAB \n <tt>\#include<Eigen/\link IterativeLinearSolvers_Module IterativeLinearSolvers\endlink></tt></td><td>Iterative stabilized bi-conjugate gradient</td><td>Square</td>
     <td>IdentityPreconditioner, [DiagonalPreconditioner], IncompleteLUT</td>