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Computing Homological Information Based on Directed Graphs within Discrete Objects
- Source :
- idUS. Depósito de Investigación de la Universidad de Sevilla, instname, 2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2014), 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2014), Sep 2014, Timisoara, Romania. pp.571--578, ⟨10.1109/SYNASC.2014.82⟩, SYNASC
- Publication Year :
- 2014
- Publisher :
- IEEE Computer Society, 2014.
-
Abstract
- n-dimensional discrete objects can be interpreted as cubical complexes which are suitable for the study of their homology groups in order to understand the original discrete object. The classic approach consists in computing the Normal Smith Form of some matrices associated to the cubical complex. Further approaches deal mainly with a pre-processing of the matrices in order to reduce their size. In this paper we propose a new approach, initially based on discrete Morse theory, which computes some homological information (Betti numbers and representative cycles) without calculating the Normal Smith Form. It works on any dimension, and it can also be applied to any kind of regular cell complex.
- Subjects :
- Betti number
010102 general mathematics
Dimension (graph theory)
Discrete Morse theory
Context (language use)
02 engineering and technology
Directed graph
[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
Object (computer science)
[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
01 natural sciences
Discrete system
Algebra
[MATH.MATH-AT]Mathematics [math]/Algebraic Topology [math.AT]
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
0101 mathematics
Mathematics
Singular homology
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- idUS. Depósito de Investigación de la Universidad de Sevilla, instname, 2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2014), 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2014), Sep 2014, Timisoara, Romania. pp.571--578, ⟨10.1109/SYNASC.2014.82⟩, SYNASC
- Accession number :
- edsair.doi.dedup.....54176b51e67a38147dc6b12863a2a124
- Full Text :
- https://doi.org/10.1109/SYNASC.2014.82⟩