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Computational Algebraic Topology, lecture notes [pdf]

127 点作者 MAXPOOL大约 4 年前

9 条评论

heinrichhartman大约 4 年前
Does anyone have a reference to actual computational applications of Algebraic Topology?<p>These notes contain the definition of various chain complexes and groups (co-homology&#x2F;homotopy) that are in-principle computable. However, I have not seen this being efficiently applied somewhere, and not been able to come up with interesting applications myself. Topics I have considered are:<p>1. Triangulation of solutions of equations (for e.g. homology computations) does not seem to be very popular, at least in dimension &gt;3. I suspect this is a hard problem, but maybe I am just missing pointers to the right literature.<p>2. CAD applications or Computer Games have lot&#x27;s of triangulated objects. Their topology seems to be not to be very interesting. Again: In dimension &lt;=3 there is really not that much going on. And since you have constructed the object yourself, you probably know the geometry already.<p>3. Graphs appear everywhere, and can be viewed as 1-dimensional chain complexes but do not have interesting co-homology groups.<p>4. Did anyone compute homology groups for &quot;Manifold Learning&quot;?<p>It&#x27;s also not clear to me, how much interesting information can be extracted from those homology groups. Applications of Homotopy&#x2F;Homology in (semi-classical) Physics are already quite slim (apart from Quantum Field Theory, String Theory, Gauge Theory?!) as most of it takes place in contractible spaces $IR^n$.
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spekcular大约 4 年前
For anyone looking for the &quot;computational&quot; aspects, the only bit I could find was the algorithm presented in section 6. Otherwise these are pretty standard algebraic topology notes.
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jamessb大约 4 年前
The webpage for the course [1] includes not just these lecture notes, but also 4 problem sets and links to videos of the lectures on YouTube.<p>[1]: <a href="http:&#x2F;&#x2F;people.maths.ox.ac.uk&#x2F;nanda&#x2F;cat&#x2F;" rel="nofollow">http:&#x2F;&#x2F;people.maths.ox.ac.uk&#x2F;nanda&#x2F;cat&#x2F;</a>
kkylin大约 4 年前
This book looks like it may be a nice complement to these CAT notes:<p><a href="https:&#x2F;&#x2F;www2.math.upenn.edu&#x2F;~ghrist&#x2F;notes.html" rel="nofollow">https:&#x2F;&#x2F;www2.math.upenn.edu&#x2F;~ghrist&#x2F;notes.html</a><p>(I haven&#x27;t gone through either.)
outlace大约 4 年前
I wrote a series of blog posts about persistent homology and topological data analysis for absolute beginners as I was obsessed with it for some time: <a href="http:&#x2F;&#x2F;outlace.com&#x2F;TDApart1.html" rel="nofollow">http:&#x2F;&#x2F;outlace.com&#x2F;TDApart1.html</a>
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sharker8大约 4 年前
Anyone have a glossary or index for newbs? Like a shortcut to reading the symbolic notation? I have some expository knowledge to sets (ie. sets are denoted by capital letters). And some of the symbols (ie. the vertical pipe means given or &#x27;where&#x27; and indicates a predicate assumption of sorts). Anyone have the cheat code for laypeople and undergrads?
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Koshkin大约 4 年前
These notes (on a different yet somewhat related subject) seem a little more friendly in the way they explain the basics:<p><a href="https:&#x2F;&#x2F;www.cs.cmu.edu&#x2F;~kmcrane&#x2F;Projects&#x2F;DDG&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.cs.cmu.edu&#x2F;~kmcrane&#x2F;Projects&#x2F;DDG&#x2F;</a>
meiji163大约 4 年前
Cool notes, I also recommend this paper which actually implements persistent homology :P <a href="http:&#x2F;&#x2F;fodava.gatech.edu&#x2F;files&#x2F;reports&#x2F;FODAVA-08-02.pdf" rel="nofollow">http:&#x2F;&#x2F;fodava.gatech.edu&#x2F;files&#x2F;reports&#x2F;FODAVA-08-02.pdf</a>
cambalache大约 4 年前
27 MB for just 100 pages of lecture notes? You can find in certain Russian site, 600p textbooks weighting 2-3 MB
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