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The book covers nonlinear physical problems and mathematical
modeling, including molecular biology, genetics, neurosciences,
artificial intelligence with classical problems in mechanics and
astronomy and physics. The chapters present nonlinear mathematical
modeling in life science and physics through nonlinear differential
equations, nonlinear discrete equations and hybrid equations. Such
modeling can be effectively applied to the wide spectrum of
nonlinear physical problems, including the KAM
(Kolmogorov-Arnold-Moser (KAM)) theory, singular differential
equations, impulsive dichotomous linear systems, analytical
bifurcation trees of periodic motions, and almost or pseudo- almost
periodic solutions in nonlinear dynamical systems.
The book covers nonlinear physical problems and mathematical
modeling, including molecular biology, genetics, neurosciences,
artificial intelligence with classical problems in mechanics and
astronomy and physics. The chapters present nonlinear mathematical
modeling in life science and physics through nonlinear differential
equations, nonlinear discrete equations and hybrid equations. Such
modeling can be effectively applied to the wide spectrum of
nonlinear physical problems, including the KAM
(Kolmogorov-Arnold-Moser (KAM)) theory, singular differential
equations, impulsive dichotomous linear systems, analytical
bifurcation trees of periodic motions, and almost or pseudo- almost
periodic solutions in nonlinear dynamical systems.
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