Evidence map›Paper›PMID 37420364›Full record

ArticleEntropy (Basel, Switzerland)2022

Determination of an Extremal in Two-Dimensional Variational Problems Based on the RBF Collocation Method.

Ahmad Golbabai, Nima Safaei, Mahboubeh Molavi-Arabshahi

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ahmad GolbabaiSchool of Mathematics, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran.ORCID 0000-0003-2047-5081
Nima SafaeiSchool of Mathematics, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran.ORCID 0000-0003-2461-3891
Mahboubeh Molavi-ArabshahiSchool of Mathematics, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran.ORCID 0000-0003-1242-4989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces a direct method derived from the global radial basis function (RBF) interpolation over arbitrary collocation nodes occurring in variational problems involving functionals that depend on functions of a number of independent variables. This technique parameterizes solutions with an arbitrary RBF and transforms the two-dimensional variational problem (2DVP) into a constrained optimization problem via arbitrary collocation nodes. The advantage of this method lies in its flexibility in selecting between different RBFs for the interpolation and parameterizing a wide range of arbitrary nodal points. Arbitrary collocation points for the center of the RBFs are applied in order to reduce the constrained variation problem into one of a constrained optimization. The Lagrange multiplier technique is used to transform the optimization problem into an algebraic equation system. Three numerical examples indicate the high efficiency and accuracy of the proposed technique.

Indexed as

Lagrange multipliersradial basis functionstwo-dimensional variational problem

Identifiers

PMID37420364
PMCPMC9601238

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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.