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  /external/eigen/doc/
C00_QuickStartGuide.dox 83 Now look back at the second example program. We presented two versions of it. In the version in the left column, the matrix is of type \c MatrixXd which represents matrices of arbitrary size. The version in the right column is similar, except that the matrix is of type \c Matrix3d, which represents matrices of a fixed size (here 3-by-3). Because the type already encodes the size of the matrix, it is not necessary to specify the size in the constructor; compare <tt>MatrixXd m(3,3)</tt> with <tt>Matrix3d m</tt>. Similarly, we have \c VectorXd on the left (arbitrary size) versus \c Vector3d on the right (fixed size). Note that here the coefficients of vector \c v are directly set in the constructor, though the same syntax of the left example could be used too.
85 The use of fixed-size matrices and vectors has two advantages. The compiler emits better (faster) code because it knows the size of the matrices and vectors. Specifying the size in the type also allows for more rigorous checking at compile-time. For instance, the compiler will complain if you try to multiply a \c Matrix4d (a 4-by-4 matrix) with a \c Vector3d (a vector of size 3). However, the use of many types increases compilation time and the size of the executable. The size of the matrix may also not be known at compile-time. A rule of thumb is to use fixed-size matrices for size 4-by-4 and smaller.
I00_CustomizingEigen.dox 101 : Eigen::Vector3d(other)
C01_TutorialMatrixClass.dox 126 Vector3d b(5.0, 6.0, 7.0);
  /external/eigen/test/eigen2/
eigen2_array.cpp 137 CALL_SUBTEST_3( lpNorm(Vector3d()) );
  /external/eigen/test/
nullary.cpp 118 CALL_SUBTEST_6( testVectorType(Vector3d()) );
array_for_matrix.cpp 200 CALL_SUBTEST_7( lpNorm(Vector3d()) );
  /external/ceres-solver/examples/
bal_problem.cc 236 Eigen::Vector3d median;
libmv_bundle_adjuster.cc 117 typedef Eigen::Vector3d Vec3;

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