IEEE Transactions on Control of Network Systems · 2018 · 36 citations · 39 references
ComputingComputer ScienceMathematicsAlgorithmsFault-tolerant SystemsTheory Of ComputationBoolean AlgebraBoolean Network ModelsBoolean OperationsCircuit ComplexityComputational ComplexityDigital Logic DesignBoolean Circuit ComplexityBoolean EquationsBoolean Function ComplexityBoolean LatticesCircuit Complexity Of Boolean FunctionsComplexity Of Boolean Functions
This paper investigates the monostability and bistability of Boolean networks using semitensor products (STPs). A theorem characterizing the stability of a Boolean network is presented and then used to develop three new algorithms. The first determines the stability in O(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> ), a marked improvement of the complexity of O((2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> - 1) <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">22.81n</sup> ), the results from simply using Strassen's recursive algorithm. The second algorithm computes the transient period of a given system state, and the last one maximizes this over an entire Boolean network. We conclude by applying these algorithms to two published Boolean models of well-known biological networks in E. coli.
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