In this paper, we discuss new analytical methods for computing Value-at-Risk (VaR)andacreditexposureprofile.UsingaMonteCarlosimulationapproachasabenchmark, we find that the analy...
Ben De Prisco, Ian Iscoe, Alexander Y. Kreinin, Ah...
We describe algorithms for canonically partitioning semi-regular quadrilateral meshes into structured submeshes, using an adaptation of the geometric motorcycle graph of Eppstein ...
David Eppstein, Michael T. Goodrich, Ethan Kim, Ra...
The two major approaches to sparse recovery are L1-minimization and greedy methods. Recently, Needell and Vershynin developed Regularized Orthogonal Matching Pursuit (ROMP) that ha...
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
We propose a flexible and efficient wavelet construction for non-uniform B-spline curves and surfaces. The method allows to remove knots in arbitrary order minimizing the displace...