Evidence map›Paper›PMID 33267076›Full record

ArticleEntropy (Basel, Switzerland)2019

The Effects of Padé Numerical Integration in Simulation of Conservative Chaotic Systems.

Denis Butusov, Artur Karimov, Aleksandra Tutueva, Dmitry Kaplun, Erivelton G Nepomuceno

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Denis ButusovYouth Research Institute, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg 197376, Russia.ORCID 0000-0002-8941-4220
Artur KarimovYouth Research Institute, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg 197376, Russia.ORCID 0000-0002-2591-0962
Aleksandra TutuevaDepartment of Computer Aided Design, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg 197376, Russia.ORCID 0000-0002-9747-1962
Dmitry KaplunDepartment of Automation and Control Processes, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg 197376, Russia.ORCID 0000-0003-2765-4509
Erivelton G NepomucenoControl and Modelling Group (GCOM), Department of Electrical Engineering, Federal University of São João del-Rei, São João del-Rei, MG 36307-352, Brazil.ORCID 0000-0002-5841-2193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we consider nonlinear integration techniques, based on direct Padé approximation of the differential equation solution, and their application to conservative chaotic initial value problems. The properties of discrete maps obtained by nonlinear integration are studied, including phase space volume dynamics, bifurcation diagrams, spectral entropy, and the Lyapunov spectrum. We also plot 2D dynamical maps to enlighten the features introduced by nonlinear integration techniques. The comparative study of classical integration methods and Padé approximation methods is given. It is shown that nonlinear integration techniques significantly change the behavior of discrete models of nonlinear systems, increasing the values of Lyapunov exponents and spectral entropy. This property reduces the applicability of numerical methods based on Padé approximation to the chaotic system simulation but it is still useful for construction of pseudo-random number generators that are resistive to chaos degradation or discrete maps with highly nonlinear properties.

Indexed as

computer simulationdynamical chaosnonlinear systemsNumerical integrationODE solversPadé approximation

Identifiers

PMID33267076
PMCPMC7514845

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.