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Computational Complexity

The DW model is more efficient in one dimension because it can make use of delay lines to obtain an $ {\cal O}(1)$ computation per time sample [447], whereas the FDTD scheme is $ {\cal O}(M)$ per sample ($ M$ being the number of spatial samples along the string). There is apparently no known way to achieve $ {\cal O}(1)$ complexity for the FDTD scheme. In higher dimensions, i.e., when simulating membranes and volumes, the delay-line advantage disappears, and the FDTD scheme has the lower operation count (and memory storage requirements).


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written by Julius Orion Smith III
Julius Smith's background is in electrical engineering (BS Rice 1975, PhD Stanford 1983). He is presently Professor of Music and Associate Professor (by courtesy) of Electrical Engineering at Stanford's Center for Computer Research in Music and Acoustics (CCRMA), teaching courses and pursuing research related to signal processing applied to music and audio systems. See http://ccrma.stanford.edu/~jos/ for details.


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