1998
DOI: 10.1023/a:1008202529152
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Cited by 34 publications
(4 citation statements)
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“…Moreover, the biggest challenge comes in obtaining analytic expressions for the global manifolds (the expressions for the homoclinic or heteroclinic orbits). Vakakis and Azeez [21] developed an iterative technique to approximate certain homoclinic orbits. Mikhlin [18] and Feng et al [13] used the Padé and quasi-Padé approximation to construct these types of orbits.…”
Section: (Communicated By Hirokazu Ninomiya)mentioning
confidence: 99%
“…Moreover, the biggest challenge comes in obtaining analytic expressions for the global manifolds (the expressions for the homoclinic or heteroclinic orbits). Vakakis and Azeez [21] developed an iterative technique to approximate certain homoclinic orbits. Mikhlin [18] and Feng et al [13] used the Padé and quasi-Padé approximation to construct these types of orbits.…”
Section: (Communicated By Hirokazu Ninomiya)mentioning
confidence: 99%
“…The starting point of the renormalization group is the removal of divergences (or resonance terms) from the perturbation series such that stable characteristics of system structure and dynamics are extracted which are insensitive to details, so it can be regarded as an altermative formulation of asymptotic analysis [9,11,12]. Usually asymptotic analysis techniques such as multiple scale method (MS), boundary layer method (BL) and WKB approximation are sophisticated and quite daunting to use because of their complexity and limitations [13][14][15]. On the contrary, the renormalization group method does naive perturbation expansion and requires little prior knowledge and hence is very convenient to apply in practice.…”
Section: Introductionmentioning
confidence: 99%
“…Mikhlin [16] used a quasi-Padé approximant method to construct homoclinic orbits of the Lorenz equation. Vakakis and Azeez [17] expressed the solution in power series such as t → ±0 and introduced global approximants to match the local solutions by means of a Padé-like procedure. According to the characteristics of a n-dimensional quadratic system, Li and Zhu.…”
Section: Introductionmentioning
confidence: 99%