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Diffstat (limited to 'src/cython/doc/cubical_complex_user.rst')
| -rw-r--r-- | src/cython/doc/cubical_complex_user.rst | 14 |
1 files changed, 9 insertions, 5 deletions
diff --git a/src/cython/doc/cubical_complex_user.rst b/src/cython/doc/cubical_complex_user.rst index 16712de5..809aaddf 100644 --- a/src/cython/doc/cubical_complex_user.rst +++ b/src/cython/doc/cubical_complex_user.rst @@ -5,7 +5,7 @@ Definition ---------- ===================================== ===================================== ===================================== -:Author: Pawel Dlotko :Introduced in: GUDHI PYTHON 1.4.0 :Copyright: GPL v3 +:Author: Pawel Dlotko :Introduced in: GUDHI PYTHON 1.3.0 :Copyright: GPL v3 ===================================== ===================================== ===================================== +---------------------------------------------+----------------------------------------------------------------------+ @@ -59,10 +59,12 @@ of filtration. This, together with dimension of :math:`\mathcal{K}` and the size directions, allows to determine, dimension, neighborhood, boundary and coboundary of every cube :math:`C \in \mathcal{K}`. -.. image:: +.. figure:: img/Cubical_complex_representation.png - :align: center :alt: Cubical complex. + :figclass: align-center + + Cubical complex. Note that the cubical complex in the figure above is, in a natural way, a product of one dimensional cubical complexes in :math:`\mathbb{R}`. The number of all cubes in each direction is equal :math:`2n+1`, where :math:`n` is @@ -85,10 +87,12 @@ bitmap (2 in the example below). Next d lines are the numbers of top dimensional in the example below). Next, in lexicographical order, the filtration of top dimensional cubes is given (1 4 6 8 20 4 7 6 5 in the example below). -.. image:: +.. figure:: img/exampleBitmap.png - :align: center :alt: Example of a input data. + :figclass: align-center + + Example of a input data. The input file for the following complex is: |