Nonlinear dynamical systems are widely observed in many branches of physics ranging from Celestial Mechanics to Chemistry. In this book, we propose the method of Time-Frequency analysis based on wavelets to study the phase space structure of different nonlinear dynamical systems. We have investigated nonlinear dynamical systems from space dynamics and celestial mechanics. Also, the comparison with other methods such as Lyapunov Characteristic Exponents, Fourier Transform etc. is an important aspect. Different aspects of phase space structure such as resonance transition, stickiness, resonance trapping are explained using wavelet transform. The algorithm for the computation of Time-Frequency analysis based on wavelets is also explained in detail.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nonlinear dynamical systems are widely observed in many branches of physics ranging from Celestial Mechanics to Chemistry. In this book, we propose the method of Time-Frequency analysis based on wavelets to study the phase space structure of different nonlinear dynamical systems. We have investigated nonlinear dynamical systems from space dynamics and celestial mechanics. Also, the comparison with other methods such as Lyapunov Characteristic Exponents, Fourier Transform etc. is an important aspect. Different aspects of phase space structure such as resonance transition, stickiness, resonance trapping are explained using wavelet transform. The algorithm for the computation of Time-Frequency analysis based on wavelets is also explained in detail. 152 pp. Englisch. N° de réf. du vendeur 9786200311603
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar VinayDr Vinay Kumar has been working in the department of mathematics, Zakir Husain Delhi College, University of Delhi, since 2010. He completed his Ph.D.in mathematics from Delhi University in 2017. His primary areas of intere. N° de réf. du vendeur 497743409
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nonlinear dynamical systems are widely observed in many branches of physics ranging from Celestial Mechanics to Chemistry. In this book, we propose the method of Time-Frequency analysis based on wavelets to study the phase space structure of different nonlinear dynamical systems. We have investigated nonlinear dynamical systems from space dynamics and celestial mechanics. Also, the comparison with other methods such as Lyapunov Characteristic Exponents, Fourier Transform etc. is an important aspect. Different aspects of phase space structure such as resonance transition, stickiness, resonance trapping are explained using wavelet transform. The algorithm for the computation of Time-Frequency analysis based on wavelets is also explained in detail.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. N° de réf. du vendeur 9786200311603
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nonlinear dynamical systems are widely observed in many branches of physics ranging from Celestial Mechanics to Chemistry. In this book, we propose the method of Time-Frequency analysis based on wavelets to study the phase space structure of different nonlinear dynamical systems. We have investigated nonlinear dynamical systems from space dynamics and celestial mechanics. Also, the comparison with other methods such as Lyapunov Characteristic Exponents, Fourier Transform etc. is an important aspect. Different aspects of phase space structure such as resonance transition, stickiness, resonance trapping are explained using wavelet transform. The algorithm for the computation of Time-Frequency analysis based on wavelets is also explained in detail. N° de réf. du vendeur 9786200311603
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