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Wrote resizing documentation page
libeigen/eigen!2110 Co-authored-by: Simon Merkle <st172506@stud.uni-stuttgart.de>
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Rasmus Munk Larsen
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f7772e3946
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c09151a2c2
@@ -35,7 +35,6 @@ namespace Eigen {
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*/
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/** \page UnclassifiedPages Unclassified pages
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- \subpage TopicResizing
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- \subpage TopicVectorization
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- \subpage TopicEigenExpressionTemplates
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- \subpage TopicScalarTypes
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@@ -70,6 +69,8 @@ namespace Eigen {
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\ingroup DenseMatrixManipulation_chapter */
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/** \addtogroup TutorialReshape
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\ingroup DenseMatrixManipulation_chapter */
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/** \addtogroup TopicResizing
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\ingroup DenseMatrixManipulation_chapter */
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/** \addtogroup TutorialSTL
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\ingroup DenseMatrixManipulation_chapter */
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/** \addtogroup TutorialMapClass
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@@ -1,11 +1,179 @@
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namespace Eigen {
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/** \page TopicResizing Resizing
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/** \eigenManualPage TopicResizing Resizing
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\eigenAutoToc
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\section TopicResizing_Resize Resizing with \link PlainObjectBase::resize(Index,Index) resize() \endlink
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The most basic method to change the size of matrices or vectors is \link PlainObjectBase::resize(Index,Index) resize(rows, cols) \endlink.
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It takes the new number of rows and columns as arguments.
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\code
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MatrixXd m(2,2);
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m << 1, 2, 3, 4;
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m.resize(3,3);
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// m is now 3x3.
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// OLD values are lost. NEW values are uninitialized.
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\endcode
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The \c resize() method is **destructive** if the total number of coefficients (rows x columns) differs from the previous one.
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Meaning that all previous values are lost and the newly allocated coefficients are **uninitialized**.
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You should fill them before use.
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\subsection TopicResizing_ResizeNoOp The special case of "No-Op" resizing
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If you resize a matrix while keeping the total number of coefficients unchanged, the existing values are preserved in memory.
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(Meaning when old_rows x old_cols = new_rows x new_cols)
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However, because Eigen stores matrices in **column-major** order by default, the logical position of these values may change.
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\code
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MatrixXd m(2,2);
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m << 1, 2, 3, 4;
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// m is now: 1 2
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// 3 4
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// Memory storage: [1, 3, 2, 4]
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// Resizing to 1x4 (total size 4 is unchanged)
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m.resize(1,4);
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// m is now: 1 3 2 4
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// The memory [1, 3, 2, 4] was not touched, but is now interpreted as a 1x4 matrix.
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\endcode
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\subsection TopicResizing_ResizeNoChange Resizing only one dimension
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To resize only one dimension while leaving the other unchanged,
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you can pass \c Eigen::NoChange as the parameter for the dimension you wish to keep.
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\code
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MatrixXd m(2,2);
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// Resize rows to 5, keep columns at 2
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m.resize(5, Eigen::NoChange);
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// Resize columns to 3, keep rows at 5
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m.resize(Eigen::NoChange, 3);
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\endcode
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\subsection TopicResizing_ResizeVectors Resizing vectors
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Resizing for vectors behaves the same way as for matrices.
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You provide the new size as an argument to \c resize().
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\code
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VectorXd v(3);
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v << 1, 2, 3;
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v.resize(5);
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// v is now of size 5 and the values are uninitialized.
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\endcode
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\subsection TopicResizing_ResizeArray Resizing arrays
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Resizing for arrays behaves the same way as for matrices.
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You provide the new number of rows and columns as arguments to \c resize().
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\code
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ArrayXXf a(2,2);
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a << 1, 2, 3, 4;
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a.resize(3,3);
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// a is now 3x3 and the values are uninitialized.
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\endcode
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\section TopicResizing_ResizeLike Resizing to match another object with \link PlainObjectBase::resizeLike() resizeLike() \endlink
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You can resize a matrix or vector to match the dimensions of another object using \link PlainObjectBase::resizeLike() resizeLike(eigenBase) \endlink.
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This method is also **destructive** (data is lost).
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\code
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MatrixXd m(2,2);
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MatrixXd n(4,4);
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m.resizeLike(n);
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// m is now 4x4.
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\endcode
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TODO: write this dox page!
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<b>Note on Vectors:</b> When applied to vectors, \c resizeLike() matches the **size** (number of coefficients) of the other object,
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but maintains the row/column orientation of the vector being resized.
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Is linked from the tutorial on the Matrix class.
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\code
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RowVectorXd r(2);
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VectorXd c(5);
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// r is resized to be a row-vector of size 5 (1x5), matching c's size.
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// It does NOT become a column-vector.
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r.resizeLike(c);
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\endcode
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\section TopicResizing_Conservative Resizing with \link PlainObjectBase::conservativeResize(Index,Index) conservativeResize() \endlink
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If you need to resize a matrix while keeping its current values,
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use \link PlainObjectBase::conservativeResize(Index,Index) conservativeResize(rows, cols) \endlink.
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\code
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MatrixXd m(2,2);
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m << 1, 2, 3, 4;
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m.conservativeResize(3,3);
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// m is now:
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// 1 2 ?
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// 3 4 ?
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// ? ? ?
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// The '?' are uninitialized values.
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\endcode
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When using \c conservativeResize():
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- **Preservation:** The existing values are preserved.
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- **Alignment:** The matrix is resized relative to the **top-left** corner.
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- **New Data:** Any newly allocated coefficients (if the matrix grows) are **uninitialized**. You should fill them before use.
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Just like \c resize(), you can resize **vectors** and **arrays** and keep previous values, using \c conservativeResize().
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And just like \c resize(), you can use \c Eigen::NoChange to resize only one dimension conservatively:
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\code
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MatrixXd m(2,2);
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m << 1, 2, 3, 4;
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// Add a new row (now 3x2), keeping existing values
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m.conservativeResize(3, Eigen::NoChange);
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\endcode
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\section TopicResizing_Assignment Automatic resizing on assignment
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By default, when you assign one matrix to another, Eigen automatically resizes the left-hand side to match the size of the right-hand side.
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\code
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MatrixXf a(2,2);
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MatrixXf b(4,4);
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a = b; // a is now 4x4
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\endcode
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\subsection TopicResizing_DisableAuto Disabling automatic resizing
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In some applications, you may want to prevent automatic resizing to avoid unexpected memory allocations.
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You can disable this behavior by defining the \c EIGEN_NO_AUTOMATIC_RESIZING preprocessor macro.
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If this macro is defined, the assignment `a = b` will trigger an assertion failure at runtime if the dimensions of `a` and `b` do not match.
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\code
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#define EIGEN_NO_AUTOMATIC_RESIZING
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#include <Eigen/Dense>
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void function() {
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MatrixXf a(2,2);
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MatrixXf b(4,4);
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a = b; // ERROR: Runtime assertion failure
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}
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\endcode
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\section TopicResizing_Fixed Fixed-size matrices
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Resizing methods are technically available on fixed-size matrices for API uniformity, but they will trigger an assertion failure if you try to actually change the dimensions.
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Because the dimensions of a fixed-size matrix (like \c Matrix4f) are determined at compile-time, they cannot be changed at runtime.
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\code
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Matrix4f m;
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m.resize(4,4); // Legal, no-op
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m.resize(5,5); // ERROR: Runtime assertion failure
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\endcode
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*/
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}
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