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20032026
most citedA network approach to topic models

260 citations · 3k across the 65 of their papers we have counts for

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nlin.CD2026

Fractals in rate-induced tipping

Jason Qianchuan Wang, Yi Zheng, Eduardo G. Altmann

When parameters of a dynamical system change sufficiently fast, critical transitions can take place even in the absence of bifurcations. This phenomenon is known as rate-induced ti…

nlin.CD2019★ 16 cited

Structure of resonance eigenfunctions for chaotic systems with partial escape

Konstantin Clauß, Eduardo G. Altmann, Arnd Bäcker +1

Physical systems are often neither completely closed nor completely open, but instead they are best described by dynamical systems with partial escape or absorption. In this paper…

nlin.CD2017★ 5 cited

Importance-sampling computation of statistical properties of coupled oscillators

Shamik Gupta, Jorge C. Leitao, Eduardo G. Altmann

We introduce and implement an importance-sampling Monte Carlo algorithm to study systems of globally-coupled oscillators. Our computational method efficiently obtains estimates of…

nlin.CD2017★ 9 cited

Importance Sampling of Rare Events in Chaotic Systems

Jorge C. Leitao, Joao M. Viana Parente Lopes, Eduardo G. Altmann

Finding and sampling rare trajectories in dynamical systems is a difficult computational task underlying numerous problems and applications. In this paper we show how to construct…

nlin.CD2016★ 5 cited

Searching chaotic saddles in high dimensions

M. Sala, J. C. Leitao, E. G. Altmann

We propose new methods to numerically approximate non-attracting sets governing transiently-chaotic systems. Trajectories starting in a vicinity of these sets escape in a f…

nlin.CD2015★ 32 cited

Characterizing Weak Chaos using Time Series of Lyapunov Exponents

R. M. da Silva, C. Manchein, M. W. Beims +1

We investigate chaos in mixed-phase-space Hamiltonian systems using time series of the finite- time Lyapunov exponents. The methodology we propose uses the number of Lyapunov expon…