Hybrid Execution of Dynamic Rule-based Multi-level Models

Abstract

Hybrid algorithms are a promising approach to speed-up the execution of multi-scale biochemical reaction networks, i.e., networks with reactions that operate on different time scales. The basic idea is to use the quasi-steady state distribution of the fast reactions, computed either analytically or empirically, to update the propensities of slow reactions… (More)

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