Titlebook: Computational Homology; Tomasz Kaczynski,Konstantin Mischaikow,Marian Mroz Textbook 2004 Springer Science+Business Media New York 2004 Alg

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書目名稱Computational Homology影響因子(影響力)




書目名稱Computational Homology影響因子(影響力)學科排名




書目名稱Computational Homology網(wǎng)絡(luò)公開度




書目名稱Computational Homology網(wǎng)絡(luò)公開度學科排名




書目名稱Computational Homology被引頻次




書目名稱Computational Homology被引頻次學科排名




書目名稱Computational Homology年度引用




書目名稱Computational Homology年度引用學科排名




書目名稱Computational Homology讀者反饋




書目名稱Computational Homology讀者反饋學科排名

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Cubical Homologyimensional cubes). Before that we motivated the need for a computational theory of homology using examples from image processing where it was natural to think of the images as being presented in terms of pixels (two-dimensional cubes), voxels (three-dimensional cubes), and even tetrapus (four-dimens

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Computing Homology Groupsd .(.) for some simple examples and discussed the method of elementary collapse, which can be used in special cases to compute these groups. In this chapter we want to go further and argue that the homology groups of any cubical set are computable. In fact, we will derive Algorithm 3.78, which, give

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Preview of Mapss map .: . → .. It is natural to ask if . induces a group homomorphism .: .(.) → .(.). If so, do we get useful information out of it? The answer is yes and we will spend the next three chapters explaining how to define and compute .. It is worth noting, even at this very preliminary stage, that sinc

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Homology of Topological Polyhedraand 10, where we are required to work with large sets of data and for which we need a computationally effective means of computing homology. In all these examples the data itself naturally generates cubical sets. However, this cubical homology theory is unconventional, and furthermore, there is a wi