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| -rw-r--r-- | doc/C01_QuickStartGuide.dox | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/doc/C01_QuickStartGuide.dox b/doc/C01_QuickStartGuide.dox index d43dbd72d..2943aed80 100644 --- a/doc/C01_QuickStartGuide.dox +++ b/doc/C01_QuickStartGuide.dox @@ -129,7 +129,7 @@ The default constructor leaves coefficients uninitialized. Any dynamic size is s Matrix3f A; // construct 3x3 matrix with uninitialized coefficients A(0,0) = 5; // OK MatrixXf B; // construct 0x0 matrix without allocating anything -A(0,0) = 5; // Error, B is uninitialized, doesn't have any coefficients to address +B(0,0) = 5; // Error, B is uninitialized, doesn't have any coefficients to address \endcode In the above example, B is an uninitialized matrix. What to do with such a matrix? You can call resize() on it, or you can assign another matrix to it. Like this: @@ -261,7 +261,7 @@ v = 6 6 6 \subsection TutorialCasting Casting -In Eigen, any matrices of same size and same scalar type are all naturally compatible. The scalar type can be explicitely casted to another one using the template MatrixBase::cast() function: +In Eigen, any matrices of same size and same scalar type are all naturally compatible. The scalar type can be explicitly casted to another one using the template MatrixBase::cast() function: \code Matrix3d md(1,2,3); Matrix3f mf = md.cast<float>(); @@ -328,7 +328,7 @@ In short, all arithmetic operators can be used right away as in the following ex mat4 -= mat1*1.5 + mat2 * (mat3/4); \endcode which includes two matrix scalar products ("mat1*1.5" and "mat3/4"), a matrix-matrix product ("mat2 * (mat3/4)"), -a matrix addition ("+") and substraction with assignment ("-="). +a matrix addition ("+") and subtraction with assignment ("-="). <table class="tutorial_code"> <tr><td> @@ -464,7 +464,7 @@ mat = 2 7 8 Also note that maxCoeff and minCoeff can takes optional arguments returning the coordinates of the respective min/max coeff: \link MatrixBase::maxCoeff(int*,int*) const maxCoeff(int* i, int* j) \endlink, \link MatrixBase::minCoeff(int*,int*) const minCoeff(int* i, int* j) \endlink. -<span class="note">\b Side \b note: The all() and any() functions are especially useful in combinaison with coeff-wise comparison operators (\ref CwiseAll "example").</span> +<span class="note">\b Side \b note: The all() and any() functions are especially useful in combination with coeff-wise comparison operators (\ref CwiseAll "example").</span> @@ -578,7 +578,7 @@ vec1.normalize();\endcode <a href="#" class="top">top</a>\section TutorialCoreTriangularMatrix Dealing with triangular matrices -Currently, Eigen does not provide any explcit triangular matrix, with storage class. Instead, we +Currently, Eigen does not provide any explicit triangular matrix, with storage class. Instead, we can reference a triangular part of a square matrix or expression to perform special treatment on it. This is achieved by the class TriangularView and the MatrixBase::triangularView template function. Note that the opposite triangular part of the matrix is never referenced, and so it can, e.g., store @@ -595,12 +595,12 @@ m.triangularView<Eigen::LowerTriangular>() m.triangularView<Eigen::UnitLowerTriangular>()\endcode </td></tr> <tr><td> -Writting to a specific triangular part:\n (only the referenced triangular part is evaluated) +Writing to a specific triangular part:\n (only the referenced triangular part is evaluated) </td><td>\code m1.triangularView<Eigen::LowerTriangular>() = m2 + m3 \endcode </td></tr> <tr><td> -Convertion to a dense matrix setting the opposite triangular part to zero: +Conversion to a dense matrix setting the opposite triangular part to zero: </td><td>\code m2 = m1.triangularView<Eigen::UnitUpperTriangular>()\endcode </td></tr> |