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Limit-Cycle-Preserving Simulation of Gene Regulatory Oscillators
Author(s) -
Xiong You
Publication year - 2012
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2012/673296
Subject(s) - integrator , limit (mathematics) , limit cycle , computer science , phase (matter) , numerical integration , mathematics , measure (data warehouse) , control theory (sociology) , statistical physics , biological system , mathematical analysis , physics , biology , artificial intelligence , telecommunications , control (management) , bandwidth (computing) , quantum mechanics , database
In order to simulate gene regulatory oscillators more effectively, Runge-Kutta (RK) integrators are adapted to the limit-cycle structure of the system. Taking into account the oscillatory feature of the gene regulatory oscillators, phase-fitted and amplification-fitted Runge-Kutta (FRK) methods are designed. New FRK methods with phase-fitted and amplification-fitted updated are also considered. The error coefficients and the error constant for each of new FRK methods are obtained. In the numerical simulation of the two-gene regulatory system, the new methods are shown to be more accurate and more efficient than their prototype RK methods in the long-term integration. It is a new discovery that the best fitting frequency not only depends on the problem to be solved, but also depends on the method

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