Difference between revisions of "JavaPlex Tutorial"
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You can check your version in Matlab by entering <code> version -java </code> | You can check your version in Matlab by entering <code> version -java </code> | ||
− | To install JavaPlex for Matlab download the latest release at | + | To install JavaPlex for Matlab download the latest release at [https://github.com/appliedtopology/javaplex/releases/latest/]. Download the zip file containing the Matlab examples, which should be called something like <code> matlab-examples-4.2.2.zip </code>. |
− | Download the zip file containing the Matlab examples, which should be called something like <code> matlab-examples-4.2.2.zip </code>. | ||
Unzip the folder to a known location, the resulting folder should be called <code> matlab_examples </code>. | Unzip the folder to a known location, the resulting folder should be called <code> matlab_examples </code>. | ||
− | In Matlab, change your current folder to <code> matlab_examples </code>. | + | In Matlab, change your current folder to <code> matlab_examples </code>. Then run the script <nowiki><code> load_javaplex.m </code></nowiki> and import the JavaPlex routines, e.g. by entering the following commands into the command line |
− | Then run the script load_javaplex.m and import the JavaPlex routines, e.g. by entering | ||
load_javaplex.m | load_javaplex.m | ||
import edu.stanford.math.plex4.*; | import edu.stanford.math.plex4.*; | ||
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% compute and print the homology groups | % compute and print the homology groups | ||
intervals = persistence.computeIntervals(stream) | intervals = persistence.computeIntervals(stream) | ||
− | |||
=== Filtered Chain Complexes === | === Filtered Chain Complexes === |
Revision as of 12:38, 5 May 2019
In this tutorial we will learn how to use the JavaPlex[1] package in Matlab. For a more complete picture of JavaPlex please visit the projects homepage and consider also reading the tutorial provided there.
Installation
Make sure you have a working version of Matlab.
JavaPlex requires Java version number 1.5 or higher.
You can check your version in Matlab by entering version -java
To install JavaPlex for Matlab download the latest release at [1]. Download the zip file containing the Matlab examples, which should be called something like matlab-examples-4.2.2.zip
.
Unzip the folder to a known location, the resulting folder should be called matlab_examples
.
In Matlab, change your current folder to matlab_examples
. Then run the script <code> load_javaplex.m </code> and import the JavaPlex routines, e.g. by entering the following commands into the command line
load_javaplex.m import edu.stanford.math.plex4.*;
Basic constructions
Simplex Streams
JavaPlex implements abstract simplicial complexes via simplex streams, provided by the function api.Plex4.createExplicitSimplexStream()
.
Furthermore, for a given simplicial complex $X$, the algorithm api.Plex4.getModularSimplicialAlgorithm(dimension, p)
calculates the (persistence module of) homology groups $H_i(X,\mathbb{Z}/p\mathbb{Z})$, $i\leq dimension$ and representatives of the classes $[x]\in H_i$.
In the following we will use these functions to create a simplicial complex that corresponds to spheres $S^1$ and $S^n$ and find the homology groups $H_i(X,\mathbb{Z}/2\mathbb{Z})$.
= Implementing the one-sphere
In order to build a simplicial complex by hand, we first load the relevant function onto our target object
complex = api.Plex4.createExplicitSimplexStream();
and pass the vertices of the complex to it:
complex.addVertex(0); complex.addVertex(1); complex.addVertex(2);
In general a complex will have higher simplicies, which by definition are sets of vertices. These are added to the simplicial complex by similarly passing sets to the stream.
complex.addElement([0, 1]); complex.addElement([0, 2]); complex.addElement([1, 2]);
Once all simplices have been put into the stream, we close it by calling
complex.finalizeStream();
At this point complex
is a simplicial complex that encodes the boundary of a triangle.
We can get the number of simplices (of all dimension) contained in the simplicial complex by calling
complex.getSize()
The homology groups over $\mathbb{Z}/2\mathbb{Z} of complex
up to dimension 3 can be extracted via
homology = api.Plex4.getModularSimplicialAlgorithm(3, 2); persistenceIntervals = homology.computeIntervals(complex)
Note: The Modular Simplicial Algorithm automatically interprets our complex as a filtered complex
If we are also interested in representatives of the non-trivial classes we can use
persistenceAnnotatedIntervals = homology.computeAnnotatedIntervals(complex)
and get the parameter values of non-trivial classes together with their representatives.
Implementing the $n$-Sphere
The explicit construction above is of course too tiresome for more complicated simplicial complexes. We exemplify additional methods of simplex stream objects to generate $n$-spheres.
& set dimension and load simplex stream dimension = 9; sphere = api.Plex4.createExplicitSimplexStream(); % construct simplicial sphere stream.addElement(0:(dimension + 1)); stream.ensureAllFaces(); stream.removeElementIfPresent(0:(dimension + 1)); stream.finalizeStream(); % print out the total number of simplices in the complex stream.getSize() % get homology algorithm over Z/2Z up to dimension+1 persistence = api.Plex4.getModularSimplicialAlgorithm(dimension + 1, 2); % compute and print the homology groups intervals = persistence.computeIntervals(stream)
Filtered Chain Complexes
Generating Barcodes
Customization
Examples
We can now use what we've learned above to investigate more complicated data sets.