The Hausdorff Dimension of the Set of r-Perfect M-Multisequences
- Author
- VIELHABER, Michael1 ; DEL PILAR CANALES CH, Monica1
[1] Instituto de Matemàticas, Universidad Austral de Chile, Casilla 567, Valdivia, Chile - Conference title
- Sequences and their applications (SETA 2006)
- Conference name
- International Conference on Sequences and their applications (4 ; Beijing 2006)
- Source
Lecture notes in computer science. 2006 ; 1Vol, pp 259-270, 12 p ; ref : 6 ref
- ISSN
- 0302-9743
- ISBN
- 3-540-44523-4
- Scientific domain
- Computer science; Mathematics
- Publisher
- Springer, Berlin
- Publication country
- Germany
- Document type
- Conference Paper
- Language
- English
- Keyword (fr)
- Accumulateur électrochimique Approche probabiliste Batterie Chaîne Markov Complexité linéaire Dimension Hausdorff Machine état infini Matrice transition Modélisation Problème valeur propre
- Keyword (en)
- Secondary cell Probabilistic approach Battery Markov chain Linear complexity Hausdorff dimension Infinite state machine Transition matrix Modeling Eigenvalue problem
- Keyword (es)
- Acumulador electroquímico Enfoque probabilista Batería Cadena Markov Complejidad lineal Dimensión Hausdorff Máquina estado infinito Matriz transición Modelización Problema valor propio
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A05 Algorithmics. Computability. Computer arithmetics
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20357330
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/11863854_22 
https://dx.doi.org/10.1007/11863854_22
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