On matrices with common invariant cones with applications in neural and gene networks
暂无分享,去创建一个
[1] G. Stewart. Introduction to matrix computations , 1973 .
[2] M. Marcus. Finite dimensional multilinear algebra , 1973 .
[3] L. Glass. Classification of biological networks by their qualitative dynamics. , 1975, Journal of theoretical biology.
[4] L. Glass. Combinatorial and topological methods in nonlinear chemical kinetics , 1975 .
[5] P. Holmes,et al. Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.
[6] Gerald B. Folland,et al. Real Analysis: Modern Techniques and Their Applications , 1984 .
[7] Dan Shemesh,et al. Common eigenvectors of two matrices , 1984 .
[8] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[9] P. Lancaster,et al. Invariant subspaces of matrices with applications , 1986 .
[10] R. Devaney. An Introduction to Chaotic Dynamical Systems , 1990 .
[11] Garry Howell,et al. An Introduction to Chaotic dynamical systems. 2nd Edition, by Robert L. Devaney , 1990 .
[12] Charles R. Johnson,et al. Topics in Matrix Analysis , 1991 .
[13] Leon Glass,et al. Nonlinear Dynamics and Symbolic Dynamics of Neural Networks , 1992, Neural Computation.
[14] Robert J. Plemmons,et al. Nonnegative Matrices in the Mathematical Sciences , 1979, Classics in Applied Mathematics.
[15] L. Glass,et al. Chaos in high-dimensional neural and gene networks , 1996 .
[16] R. Edwards. Analysis of continuous-time switching networks , 2000 .
[17] M. Tsatsomeros. A criterion for the existence of common invariant subspaces of matrices , 2001 .