Adaptive approach for nonlinear sensitivity analysis of reaction kinetics

被引:11
作者
Horenko, I
Lorenz, S
Schütte, C
Huisinga, W
机构
[1] Free Univ Berlin, D-14195 Berlin, Germany
[2] DFG Res Ctr, D-10623 Berlin, Germany
关键词
nonlinear sensitivity analysis; parameter uncertainty; adaptive particle methods; multidimensional PDEs; Fokker-Planck equation;
D O I
10.1002/jcc.20234
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
We present a unified approach for linear and nonlinear sensitivity analysis for models of reaction kinetics that are stated in terms of systems of ordinary differential equations (ODEs). The approach is based on the reformulation of the ODE problem as a density transport problem described by a Fokker-Planck equation. The resulting multidimensional partial differential equation is herein solved by extending the TRAIL algorithm originally introduced by Horenko and Weiser in the context of molecular dynamics (J. Comp. Chem. 2003, 24, 1921) and discussed it in comparison with Monte Carlo techniques. The extended TRAIL approach is fully adaptive and easily allows to study the influence of nonlinear dynamical effects. We illustrate the scheme in application to an enzyme- substrate model problem for sensitivity analysis w.r.t. to initial concentrations and parameter values. (c) 2005 Wiley Periodicals, Inc.
引用
收藏
页码:941 / 948
页数:8
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