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Membrane Computing

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Cover of 'Membrane Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Properties of Membrane Systems
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    Chapter 2 Bridging Biology and Engineering Together with Spatial Computing
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    Chapter 3 The Modeling and the Simulation of the Fluid Machines of Synthetic Biology
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    Chapter 4 Parallel and Distributed Algorithms in P Systems
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    Chapter 5 Variants of Distributed P Automata and the Efficient Parallelizability of Languages
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    Chapter 6 Quantitative Causality in Membrane Systems
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    Chapter 7 Circular Post Machines and P Systems with Exo-insertion and Deletion
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    Chapter 8 A Spiking Neural P System Simulator Based on CUDA
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    Chapter 9 Modularity in P Colonies with Checking Rules
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    Chapter 10 Finite dP Automata versus Multi-head Finite Automata
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    Chapter 11 An Adaptive Algorithm for P System Synchronization
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    Chapter 12 P Systems with Active Membranes Operating under Minimal Parallelism
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    Chapter 13 Chemical Analog Computers for Clock Frequency Control Based on P Modules
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    Chapter 14 Evolutionary Design of a Simple Membrane System
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    Chapter 15 Formal Verification of P Systems with Active Membranes through Model Checking
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    Chapter 16 Basic Concurrency Resolution in Clock-Free P Systems
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    Chapter 17 Asynchronous Extended Spiking Neural P Systems with Astrocytes
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    Chapter 18 A P–Lingua Based Simulator for Spiking Neural P Systems
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    Chapter 19 Computing with Multi-membranes
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    Chapter 20 A Methodology Based on MP Theory for Gene Expression Analysis
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    Chapter 21 Generalized Gandy-Păun-Rozenberg Machines for Tile Systems and Cellular Automata
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    Chapter 22 Sequentiality Induced by Spike Number in SNP Systems: Small Universal Machines
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    Chapter 23 P Systems Simulating Oracle Computations
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    Chapter 24 P Systems with Chained Rules
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Title
Membrane Computing
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-28024-5
ISBNs
978-3-64-228023-8, 978-3-64-228024-5
Editors

Marian Gheorghe, Gheorghe Păun, Grzegorz Rozenberg, Arto Salomaa, Sergey Verlan

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 100%