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| author |  Carlos Becker <carlosbecker@gmail.com> | 2010-06-30 15:08:25 +0100 |
|---|---|---|
| committer | Carlos Becker <carlosbecker@gmail.com> | 2010-06-30 15:08:25 +0100 |
| commit | b83225edfb0efbfa63f76bef71f17dc39181ef70 (patch) | |
| tree | 28e85ec502a406cf58d31733dc63b25c23e28274 /doc | |
| parent | b1741c1dc6c82737b69b20edfd817ef7e11ef28d (diff) | |
Fixed small typo in arithmetic tutorial
Diffstat (limited to 'doc')
| -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 |