The hénon-heiles system revisited: understanding its large stochastic regions (1997)
- Authors:
- USP affiliated authors: MALTA, CORACI PEREIRA - IF ; FIGUEIREDO, JÚLIO CÉSAR BASTOS DE - IF ; RAGAZZO, CLODOALDO GROTTA - IF
- Unidade: IF
- Assunto: FÍSICA
- Language: Inglês
- Imprenta:
-
ABNT
FIGUEIREDO, Julio Cesar Bastos de e RAGAZZO, Clodoaldo Grotta e MALTA, Coraci Pereira. The hénon-heiles system revisited: understanding its large stochastic regions. . São Paulo: IFUSP. Disponível em: http://publica-sbi.if.usp.br/PDFs/pd1254.pdf. Acesso em: 05 ago. 2025. , 1997 -
APA
Figueiredo, J. C. B. de, Ragazzo, C. G., & Malta, C. P. (1997). The hénon-heiles system revisited: understanding its large stochastic regions. São Paulo: IFUSP. Recuperado de http://publica-sbi.if.usp.br/PDFs/pd1254.pdf -
NLM
Figueiredo JCB de, Ragazzo CG, Malta CP. The hénon-heiles system revisited: understanding its large stochastic regions [Internet]. 1997 ;[citado 2025 ago. 05 ] Available from: http://publica-sbi.if.usp.br/PDFs/pd1254.pdf -
Vancouver
Figueiredo JCB de, Ragazzo CG, Malta CP. The hénon-heiles system revisited: understanding its large stochastic regions [Internet]. 1997 ;[citado 2025 ago. 05 ] Available from: http://publica-sbi.if.usp.br/PDFs/pd1254.pdf - Metastability for delayed differential equations
- Dynamics of a two graded-response neuron network with delay: negative feedback
- Non-existence of superexponential solutions in a system of delay differential equations modeling a two-neuron network
- Transient oscillations in continuous-time excitatory ring neural networks with delay
- Asymptotic behavior of irreducible excitatory networks of graded-response neurons
- Asymptotic behavior of single graded response neuron model with a delayed self-connection
- Asymptotic behavior of irreducible excitatory networks of graded-response neurons
- Transient regime duration in continuous neural networks with delay
- Delay-induced transient oscillation (DITO) and metastable behavior
- Metastable periodic patterns in singularly perturbed delayed equations
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