2001
DOI: 10.1080/18811248.2001.9715018
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Wavelet-Based Algorithms for Solving Neutron Diffusion Equations

Abstract: This work develops efficient algorithms for numerically solving the neutron diffusion equation by a wavelet Galerkin method (WGM). One of the main problems encountered in solving neutron diffusion equation using WGM is the treatment of the boundary and interface conditions. In one-dimensional problems, the boundaries of the wavelet series expansions are assumed to be the analytical boundaries of the problem, and the boundary condition equations are replaced by end equations in Galerkin system. In two-dimension… Show more

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Cited by 7 publications
(2 citation statements)
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References 12 publications
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“…The most widespread use of wavelets is still in the image compression techniques [2,3], and the other applications are also mainly analyzers. Wavelets can build a basis for differential equation discretisation [4] and solving [5,6,7], and the solvers have been developed and tested in various fields of science from diffusions to electromagnetic waves [8,9,10,11]. In electron structure calculations wavelet basis has been present since the early nineties [12,13,14,15], and in the previous decade both a wavelet based [13,14,16] and a multiwavelet based [17,18,19] solver have been developed with chemical accuracy and massively parallel computation possibility.…”
Section: Introductionmentioning
confidence: 99%
“…The most widespread use of wavelets is still in the image compression techniques [2,3], and the other applications are also mainly analyzers. Wavelets can build a basis for differential equation discretisation [4] and solving [5,6,7], and the solvers have been developed and tested in various fields of science from diffusions to electromagnetic waves [8,9,10,11]. In electron structure calculations wavelet basis has been present since the early nineties [12,13,14,15], and in the previous decade both a wavelet based [13,14,16] and a multiwavelet based [17,18,19] solver have been developed with chemical accuracy and massively parallel computation possibility.…”
Section: Introductionmentioning
confidence: 99%
“…The goal is not to solve the diffusion equation in wavelet basis, it can be found in many applications, like [12][13][14], but to give a solution for modeling the urban environment -mainly the position of the buildings and roads, the various wind speed, -in formulating the discretized matrix equations and calculating the matrix elements. For a proper modeling of the obstacles locally different diffusion coefficients would be necessary, and these coefficients can be well approximated as step functions of the position.…”
Section: Introductionmentioning
confidence: 99%