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Modeling and simulation of biochemical systems are important tasks because they can provide insights into complicated systems where traditional experimentation is expensive or impossible. Stochastic Hybrid Systems (SHS) are an ideal modeling paradigm for biochemical systems because they combine continuous and discrete dynamics in a stochastic framework. In this work we develop an advanced simulation method for SHS that explicitly considers switching and reflective boundaries and usesdoi:10.1016/j.simpat.2010.05.021 fatcat:3ffmv2tlkvga5naorwdleza7hi