2000
DOI: 10.1006/aphy.2000.6081
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Osiris Wavelets in Three Dimensions

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Cited by 3 publications
(4 citation statements)
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“…A (1) , σ = (0,0), A (2) , σ = (1,0), A (6) , σ = (0,1), A (4) , σ = (1,1), A (5) , σ = (0,2), A (3) , σ = (2,0), 9) , σ = (0,1), A (4) , σ = (1,1), A (3) , σ = (0,2), A (5) , σ = (2,0), A (2) , σ = (1,2), A (6) , σ = (2,1), A (1) , σ = (2,2), we can rewrite this bound as…”
Section: The Sobolev Overlap Matrixmentioning
confidence: 99%
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“…A (1) , σ = (0,0), A (2) , σ = (1,0), A (6) , σ = (0,1), A (4) , σ = (1,1), A (5) , σ = (0,2), A (3) , σ = (2,0), 9) , σ = (0,1), A (4) , σ = (1,1), A (3) , σ = (0,2), A (5) , σ = (2,0), A (2) , σ = (1,2), A (6) , σ = (2,1), A (1) , σ = (2,2), we can rewrite this bound as…”
Section: The Sobolev Overlap Matrixmentioning
confidence: 99%
“…The decomposition of a scalar field into continuous piecewise-linear wavelets is the central approach in a new hierarchical modeling program [1,2,3,4,5] for studying the critical behavior of certain classical systems in equilibrium statistical mechanics (such as the classical dipole gas and the Ginzburg-Landau spin system). Naturally, such a wavelet decomposition must be based on a multiscale triangulation of space, and in two dimensions we have been generating it [4,5] from the triangulation of the next-to-minimum-scale square given by the diagram in Figure 1.1.…”
Section: Introductionmentioning
confidence: 99%
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