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Fix typos: misspellings, French variable names, and hyphenation

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libeigen/eigen!2185

Co-authored-by: Rasmus Munk Larsen <rmlarsen@gmail.com>
This commit is contained in:
Rasmus Munk Larsen
2026-02-22 10:04:40 -08:00
parent 44c6132163
commit 8c35441f18
15 changed files with 63 additions and 63 deletions
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2
doc/TutorialMapClass.dox
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@@ -9,7 +9,7 @@ This can be useful in a variety of contexts, particularly when "importing" vecto
\section TutorialMapIntroduction Introduction
Occasionally you may have a pre-defined array of numbers that you want to use within %Eigen as a vector or matrix. While one option is to make a copy of the data, most commonly you probably want to re-use this memory as an %Eigen type. Fortunately, this is very easy with the Map class.
Occasionally you may have a pre-defined array of numbers that you want to use within %Eigen as a vector or matrix. While one option is to make a copy of the data, most commonly you probably want to reuse this memory as an %Eigen type. Fortunately, this is very easy with the Map class.
\section TutorialMapTypes Map types and declaring Map variables

2
doc/snippets/EigenSolver_compute.cpp
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@@ -2,5 +2,5 @@ EigenSolver<MatrixXf> es;
MatrixXf A = MatrixXf::Random(4, 4);
es.compute(A, /* computeEigenvectors = */ false);
cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
es.compute(A + MatrixXf::Identity(4, 4), false); // re-use es to compute eigenvalues of A+I
es.compute(A + MatrixXf::Identity(4, 4), false); // reuse es to compute eigenvalues of A+I
cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;

2
doc/snippets/HessenbergDecomposition_compute.cpp
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@@ -2,5 +2,5 @@ MatrixXcf A = MatrixXcf::Random(4, 4);
HessenbergDecomposition<MatrixXcf> hd(4);
hd.compute(A);
cout << "The matrix H in the decomposition of A is:" << endl << hd.matrixH() << endl;
hd.compute(2 * A); // re-use hd to compute and store decomposition of 2A
hd.compute(2 * A); // reuse hd to compute and store decomposition of 2A
cout << "The matrix H in the decomposition of 2A is:" << endl << hd.matrixH() << endl;

2
doc/snippets/SelfAdjointEigenSolver_SelfAdjointEigenSolver.cpp
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@@ -3,5 +3,5 @@ Matrix4f X = Matrix4f::Random(4, 4);
Matrix4f A = X + X.transpose();
es.compute(A);
cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
es.compute(A + Matrix4f::Identity(4, 4)); // re-use es to compute eigenvalues of A+I
es.compute(A + Matrix4f::Identity(4, 4)); // reuse es to compute eigenvalues of A+I
cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;

2
doc/snippets/SelfAdjointEigenSolver_compute_MatrixType.cpp
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@@ -3,5 +3,5 @@ MatrixXf X = MatrixXf::Random(4, 4);
MatrixXf A = X + X.transpose();
es.compute(A);
cout << "The eigenvalues of A are: " << es.eigenvalues().transpose() << endl;
es.compute(A + MatrixXf::Identity(4, 4)); // re-use es to compute eigenvalues of A+I
es.compute(A + MatrixXf::Identity(4, 4)); // reuse es to compute eigenvalues of A+I
cout << "The eigenvalues of A+I are: " << es.eigenvalues().transpose() << endl;

2
doc/snippets/Tridiagonalization_compute.cpp
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@@ -4,6 +4,6 @@ MatrixXf A = X + X.transpose();
tri.compute(A);
cout << "The matrix T in the tridiagonal decomposition of A is: " << endl;
cout << tri.matrixT() << endl;
tri.compute(2 * A); // re-use tri to compute eigenvalues of 2A
tri.compute(2 * A); // reuse tri to compute eigenvalues of 2A
cout << "The matrix T in the tridiagonal decomposition of 2A is: " << endl;
cout << tri.matrixT() << endl;