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The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
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In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
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Related Experiment Video

Updated: Jul 24, 2025

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
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Determination of an Extremal in Two-Dimensional Variational Problems Based on the RBF Collocation Method.

Ahmad Golbabai1, Nima Safaei1, Mahboubeh Molavi-Arabshahi1

  • 1School of Mathematics, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
Summary

This study presents a direct radial basis function (RBF) interpolation method for solving variational problems. The technique transforms these problems into constrained optimization, demonstrating high efficiency and accuracy.

Keywords:
Lagrange multipliersradial basis functionstwo-dimensional variational problem

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Area of Science:

  • Applied Mathematics
  • Numerical Analysis

Background:

  • Variational problems are fundamental in various scientific fields.
  • Solving these problems often requires complex numerical methods.

Purpose of the Study:

  • To introduce a direct method for solving variational problems using radial basis function (RBF) interpolation.
  • To parameterize solutions and transform variational problems into constrained optimization problems.

Main Methods:

  • Global radial basis function (RBF) interpolation over arbitrary collocation nodes.
  • Parameterization of solutions using arbitrary RBFs.
  • Transformation of two-dimensional variational problems (2DVP) into constrained optimization problems.
  • Application of Lagrange multiplier technique to convert optimization problems into algebraic equation systems.

Main Results:

  • The proposed method offers flexibility in selecting RBFs and parameterizing nodal points.
  • It effectively reduces constrained variation problems to constrained optimization.
  • Numerical examples confirm the high efficiency and accuracy of the technique.

Conclusions:

  • The direct RBF interpolation method provides an efficient and accurate approach for solving variational problems.
  • The flexibility in RBF and nodal point selection enhances its applicability.