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Probability & incompressible Navier-Stokes equations: An overview of some recent developments
incompressible Navier-Stokes Fourier transform mild solution multi-type branching random walk multiplicative cascade
2009/5/18
This is largely an attempt to provide probabilists some orientation to an important class of non-linear partial differential equations in applied mathematics, the incompressible Navier-Stokes equation...
Wavelet methods in statistics：Some recent developments and their applications
curve smoothing density estimation wavelet thresholding penalized least-squares robust regression partial linear models mixed effects models inverse regression time series prediction
2009/2/11
The development of wavelet theory has in recent years spawned applications in signal processing, in fast algorithms for integral transforms, and in image and function representation methods. This last...