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Finite difference discretizations by differential quadrature techniques

โœ Scribed by Chen, Chang-New


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
125 KB
Volume
15
Category
Article
ISSN
1069-8299

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โœฆ Synopsis


A dierential quadrature ยฎnite dierence method (DQFDM) is proposed. The ยฎnite dierence operators are derived by the dierential quadrature (DQ). They can be obtained by using the weighting coecients for DQ discretizations. The derivation is straightforward. By using dierent orders or the same order but dierent grid DQ discretizations for the same derivative or partial derivative, various ยฎnite dierence operators for the same dierential or partial dierential operator can be obtained. Finite dierence operators for unequally spaced and irregular grids can also be generated through the use of generic dierential quadrature (GDQ). The derivation of higher order ยฎnite dierence operators is also easy.


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Numerical solution of Helmholtz equation
โœ Mehdi Dehghan; Mojtaba Nourian; Mohammad B. Menhaj ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 1021 KB

## Abstract One property of the Hopfield neural networks is the monotone minimization of energy as time proceeds. In this article, this property is applied to minimize the energy functions obtained by finite difference techniques of the Helmholtzโ€equation. The mathematical representation and correl