Perfect Simulation of Stochastic Automata Networks

This invention has for its object the use of certain quaternized polymers as cosmetic agents in certain particular cosmetic compositions.

[1]  Peter Buchholz,et al.  Complexity of Memory-Efficient Kronecker Operations with Applications to the Solution of Markov Models , 2000, INFORMS J. Comput..

[2]  Paulo Fernandes,et al.  The PEPS Software Tool , 2003, Computer Performance Evaluation / TOOLS.

[3]  Paulo Fernandes,et al.  On the benefits of using functional transitions and Kronecker algebra , 2004, Perform. Evaluation.

[4]  Jean-Marc Vincent,et al.  Perfect simulation of index based routing queueing networks , 2006, PERV.

[5]  S. Foss,et al.  Two ergodicity criteria for stochastically recursive sequences , 1994 .

[6]  Paulo Fernandes,et al.  Efficient descriptor-vector multiplications in stochastic automata networks , 1998, JACM.

[7]  Gianfranco Ciardo,et al.  Efficient Reachability Set Generation and Storage Using Decision Diagrams , 1999, ICATPN.

[8]  Susanna Donatelli,et al.  Application and Theory of Petri Nets 1999 , 2003, Lecture Notes in Computer Science.

[9]  Brigitte Plateau,et al.  On the stochastic structure of parallelism and synchronization models for distributed algorithms , 1985, SIGMETRICS '85.

[10]  Brigitte Plateau,et al.  Stochastic Automata Network For Modeling Parallel Systems , 1991, IEEE Trans. Software Eng..

[11]  Jean-Marc Vincent.  Perfect Simulation of Queueing Networks with Blocking and Rejection , 2005, 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops).

[12]  David Bruce Wilson,et al.  Exact sampling with coupled Markov chains and applications to statistical mechanics , 1996, Random Struct. Algorithms.

[13]  Xeni K. Dimakos,et al.  A Guide to Exact Simulation , 2001 .

[14]  Peter Buchholz,et al.  Hierarchical Reachability Graph Generation for Petri Nets , 2002, Formal Methods Syst. Des..

[15]  Paulo Fernandes,et al.  PEPS2007 - Stochastic Automata Networks Software Tool , 2007, Fourth International Conference on the Quantitative Evaluation of Systems (QEST 2007).

[16]  Olle Häggström.  Finite Markov Chains and Algorithmic Applications , 2002 .

[17]  Örjan Stenflo.  Ergodic theorems for Markov chains represented by iterated function systems , 2001 .

[18]  Brigitte Plateau,et al.  Fast simulation for Road Traffic Network , 2001, RAIRO Oper. Res..

[19]  William J. Stewart,et al.  Introduction to the numerical solution of Markov Chains , 1994 .

[20]  Luis Gustavo Ramos Zani,et al.  PEPS2015 - STOCHASTIC AUTOMATA NETWORKS SOFTWARE TOOL , 2007 .

[21]  Paulo Fernandes,et al.  The Need for and the Advantages of Generalized Tensor Algebra for Kronecker Structured Representations , 2005 .

[22]  Jean-Marc Vincent,et al.  Perfect simulation of monotone systems for rare event probability estimation , 2005, Proceedings of the Winter Simulation Conference, 2005..