The METFAC-2.1 is a tool to specify Markov reward models using a production rules modeling language and to compute some reward measures using several numerical methods or to estimate them using robust accelerated stochastic simulation
Title METFAC2.1 The METFAC-2.1 is a tool to specify Markov reward models using a production rules modeling language and to compute some reward measures using several numerical methods or to estimate them using robust accelerated stochastic simulation Work type Software and Database designs Tags stochastic simulation, continuous-time markov chains, markov reward models, numerical methods
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Identifier 2411250194094 Entry date Nov 25, 2024, 8:56 AM UTC License All rights reserved
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owner 100.00 %. Holder Universitat Politècnica de Catalunya. Date Nov 25, 2024. Geographic coverage: worldwide. Scope logisitic, retail, Robotics and automatic control ; fintech, education....
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