论文信息 - Computing low dimensional invariant manifolds of reaction mechanism using genetic algorithms - 字舞流文

Computing low dimensional invariant manifolds of reaction mechanism using genetic algorithms

N. Butuk | J.-P. Pemba

[1] Pierre Cardaliaguet,et al. Approximation of a function and its derivative with a neural network , 1992, Neural Networks.

[2] Thomas Sterling,et al. How to Build a Beowulf: A Guide to the Implementation and Application of PC Clusters 2nd Printing , 1999 .

[3] Tamás Turányi,et al. Chapter 4 Mathematical tools for the construction, investigation and reduction of combustion mechanisms , 1997 .

[4] Tamás Turányi,et al. Mathematical Tools for the Construction, Investigation and Reduction of Combustion Mechanisms , 1998 .

[5] Michael J. Davis,et al. Geometric investigation of low-dimensional manifolds in systems approaching equilibrium , 1999 .

[6] Ulrich Maas,et al. Simplifying chemical kinetics: Intrinsic low-dimensional manifolds in composition space , 1992 .

[7] G. Iooss,et al. Elementary stability and bifurcation theory , 1980 .

[8] E. Lorenz. Deterministic nonperiodic flow , 1963 .

[9] Jiménez,et al. Neural network differential equation and plasma equilibrium solver. , 1995, Physical review letters.

[10] Nikunj Gupta,et al. Bifurcation analysis of chemical reactors and reacting flows. , 1999, Chaos.