From efb289cc0d3613c170a10b0d8c90444cb03a4008 Mon Sep 17 00:00:00 2001
From: Evan Porter <115374841+evanwporter@users.noreply.github.com>
Date: Tue, 2 Sep 2025 00:10:59 -0700
Subject: [PATCH] fixed typo `sparcity` -> `sparsity`

it appears in so many places that I'm not actually sure whether its a typo or intention.
---
 Eigen/src/KLUSupport/KLUSupport.h             |  4 ++--
 Eigen/src/PardisoSupport/PardisoSupport.h     |  4 ++--
 Eigen/src/SparseCholesky/SimplicialCholesky.h | 20 +++++++++----------
 Eigen/src/SuperLUSupport/SuperLUSupport.h     | 10 +++++-----
 Eigen/src/UmfPackSupport/UmfPackSupport.h     |  4 ++--
 5 files changed, 21 insertions(+), 21 deletions(-)

diff --git a/Eigen/src/KLUSupport/KLUSupport.h b/Eigen/src/KLUSupport/KLUSupport.h
index 12cf6c2b2..91960222d 100644
--- a/Eigen/src/KLUSupport/KLUSupport.h
+++ b/Eigen/src/KLUSupport/KLUSupport.h
@@ -150,7 +150,7 @@ class KLU : public SparseSolverBase<KLU<MatrixType_> > {
     factorize_impl();
   }
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -182,7 +182,7 @@ class KLU : public SparseSolverBase<KLU<MatrixType_> > {
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the pattern anylysis has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the pattern anylysis has been performed.
    *
    * \sa analyzePattern(), compute()
    */
diff --git a/Eigen/src/PardisoSupport/PardisoSupport.h b/Eigen/src/PardisoSupport/PardisoSupport.h
index 67c116775..c4ca6d385 100644
--- a/Eigen/src/PardisoSupport/PardisoSupport.h
+++ b/Eigen/src/PardisoSupport/PardisoSupport.h
@@ -147,7 +147,7 @@ class PardisoImpl : public SparseSolverBase<Derived> {
    * See the PARDISO manual to know how to use it. */
   ParameterType& pardisoParameterArray() { return m_iparm; }
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -157,7 +157,7 @@ class PardisoImpl : public SparseSolverBase<Derived> {
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
    *
    * \sa analyzePattern()
    */
diff --git a/Eigen/src/SparseCholesky/SimplicialCholesky.h b/Eigen/src/SparseCholesky/SimplicialCholesky.h
index 3ccbb037e..d8e29447f 100644
--- a/Eigen/src/SparseCholesky/SimplicialCholesky.h
+++ b/Eigen/src/SparseCholesky/SimplicialCholesky.h
@@ -406,7 +406,7 @@ class SimplicialLLT : public SimplicialCholeskyBase<SimplicialLLT<MatrixType_, U
     return *this;
   }
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -416,7 +416,7 @@ class SimplicialLLT : public SimplicialCholeskyBase<SimplicialLLT<MatrixType_, U
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
    *
    * \sa analyzePattern()
    */
@@ -494,7 +494,7 @@ class SimplicialLDLT : public SimplicialCholeskyBase<SimplicialLDLT<MatrixType_,
     return *this;
   }
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -504,7 +504,7 @@ class SimplicialLDLT : public SimplicialCholeskyBase<SimplicialLDLT<MatrixType_,
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
    *
    * \sa analyzePattern()
    */
@@ -575,7 +575,7 @@ class SimplicialNonHermitianLLT
     return *this;
   }
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -585,7 +585,7 @@ class SimplicialNonHermitianLLT
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
    *
    * \sa analyzePattern()
    */
@@ -664,7 +664,7 @@ class SimplicialNonHermitianLDLT
     return *this;
   }
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -674,7 +674,7 @@ class SimplicialNonHermitianLDLT
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
    *
    * \sa analyzePattern()
    */
@@ -742,7 +742,7 @@ class SimplicialCholesky : public SimplicialCholeskyBase<SimplicialCholesky<Matr
     return *this;
   }
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -757,7 +757,7 @@ class SimplicialCholesky : public SimplicialCholeskyBase<SimplicialCholesky<Matr
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
    *
    * \sa analyzePattern()
    */
diff --git a/Eigen/src/SuperLUSupport/SuperLUSupport.h b/Eigen/src/SuperLUSupport/SuperLUSupport.h
index b5d29b219..158dadde1 100644
--- a/Eigen/src/SuperLUSupport/SuperLUSupport.h
+++ b/Eigen/src/SuperLUSupport/SuperLUSupport.h
@@ -339,7 +339,7 @@ class SuperLUBase : public SparseSolverBase<Derived> {
     derived().factorize(matrix);
   }
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -473,7 +473,7 @@ class SuperLU : public SuperLUBase<MatrixType_, SuperLU<MatrixType_> > {
 
   ~SuperLU() {}
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -487,7 +487,7 @@ class SuperLU : public SuperLUBase<MatrixType_, SuperLU<MatrixType_> > {
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
    *
    * \sa analyzePattern()
    */
@@ -781,7 +781,7 @@ class SuperILU : public SuperLUBase<MatrixType_, SuperILU<MatrixType_> > {
 
   ~SuperILU() {}
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -791,7 +791,7 @@ class SuperILU : public SuperLUBase<MatrixType_, SuperILU<MatrixType_> > {
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the symbolic decomposition has been performed.
    *
    * \sa analyzePattern()
    */
diff --git a/Eigen/src/UmfPackSupport/UmfPackSupport.h b/Eigen/src/UmfPackSupport/UmfPackSupport.h
index 3fdcc1fd4..1df8493d3 100644
--- a/Eigen/src/UmfPackSupport/UmfPackSupport.h
+++ b/Eigen/src/UmfPackSupport/UmfPackSupport.h
@@ -381,7 +381,7 @@ class UmfPackLU : public SparseSolverBase<UmfPackLU<MatrixType_> > {
     factorize_impl();
   }
 
-  /** Performs a symbolic decomposition on the sparcity of \a matrix.
+  /** Performs a symbolic decomposition on the sparsity of \a matrix.
    *
    * This function is particularly useful when solving for several problems having the same structure.
    *
@@ -425,7 +425,7 @@ class UmfPackLU : public SparseSolverBase<UmfPackLU<MatrixType_> > {
 
   /** Performs a numeric decomposition of \a matrix
    *
-   * The given matrix must has the same sparcity than the matrix on which the pattern anylysis has been performed.
+   * The given matrix must has the same sparsity than the matrix on which the pattern anylysis has been performed.
    *
    * \sa analyzePattern(), compute()
    */
-- 
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