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£107.98
Springer Probabilistic Cellular Automata - Complexity & Theory
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Description
Key Features
Explores Probabilistic Cellular Automata from multiple academic perspectives including statistical mechanics and probability theory.
Covers practical applications in fields such as computational biology and computer science.
Analyzes PCA as extensions of standard cellular automata models using random updating rules.
Provides tools for complex numerical constructions through probabilistic computing components.
Offers realistic simulation methods for studying phenomena driven by large-scale neighbor interactions.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3030097420
- Domain
- Amazon UK
- Release Date
- 24 January 2019
- Listed Since
- 23 January 2019
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