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Diffstat (limited to 'doc/C02_TutorialMatrixArithmetic.dox')
| -rw-r--r-- | doc/C02_TutorialMatrixArithmetic.dox | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/C02_TutorialMatrixArithmetic.dox b/doc/C02_TutorialMatrixArithmetic.dox index 7e5615d6a..e566fe451 100644 --- a/doc/C02_TutorialMatrixArithmetic.dox +++ b/doc/C02_TutorialMatrixArithmetic.dox @@ -143,7 +143,7 @@ When using complex numbers, Eigen's dot product is conjugate-linear in the first second variable. \section TutorialArithmeticRedux Basic arithmetic reduction operations -Eigen also provides some reduction operations to reduce a given matrix or vector to a single value such as the sum (<tt>a.sum()</tt>), product (<tt>a.sum()</tt>), or the maximum (<tt>a.maxCoeff()</tt>) and minimum (<tt>a.minCoeff()</tt>) of all its coefficients. +Eigen also provides some reduction operations to reduce a given matrix or vector to a single value such as the sum (<tt>a.sum()</tt>), product (<tt>a.prod()</tt>), or the maximum (<tt>a.maxCoeff()</tt>) and minimum (<tt>a.minCoeff()</tt>) of all its coefficients. <table class="tutorial_code"><tr><td> Example: \include tut_arithmetic_redux_basic.cpp |