Our new nonlinear filter theory is many orders of magnitude faster than standard particle filters for the same accuracy,and it beats the extended Kalman fil
In this communication we emphasize the main features that may occur in real live applications of boundary feedback control of systems represented by 1-D hyp
Secret sharing realizes splitting of the data into pieces(called "shares")among a set of parties such that only designated subsets of them can reconstruct i
Sampling from a Gaussian distribution is essentially the same task as solving a linear system in the precision matrix,plus drawing normal random variables.
Affine invariant MCMC methods(eg.the 't-walk' or the 'emcee hammer')are regularly used in some areas of Bayesian inference,although still not used extensive