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authorcjamin <cjamin@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-11-24 07:50:59 +0000
committercjamin <cjamin@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-11-24 07:50:59 +0000
commit32324d2b6ef2d7a4dd1c75e6f09c725eadc5145a (patch)
treed8d5f701944f8954584a5e1cdf89289c792359d1 /src/Bitmap_cubical_complex
parent5a4e31ee8607b54e81b1a64faaa8ce42f0309690 (diff)
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git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/add_utils_in_gudhi_v2@2948 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: e41794c0552552f14afe81ead6df3530f02bd388
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# Bitmap_cubical_complex #
## `cubical_complex_persistence` ##
-This program computes persistent homology, by using the Bitmap_cubical_complex class, of cubical complexes provided in text files in Perseus style. The only number in the first line is a dimension D of a bitmap. In the lines I between 2 and D+1 there are numbers of top dimensional cells in the direction I. Let N denote product of the numbers in the lines between 2 and D. In the lines D+2 to D+2+N there are filtrations of top dimensional cells. We assume that the cells are in the lexicographical order.
+This program computes persistent homology, by using the Bitmap_cubical_complex class, of cubical complexes provided in text files in Perseus style. See the "Input Format" section of the [User Manual](http://gudhi.gforge.inria.fr/doc/latest/group__cubical__complex.html) for a description of the file format.
Example: