We study the problem of sparse recovery in context compressed sensing. This is to minimize sensing error linear measurements by vectors with at most s non-zero entries. develop so-called critical point theory for recovery. done introducing nondegenerate M-stationary points which adequately describe global structure this non-convex optimization problem. show that all are generically nondegenerat...

The evolution of a heavy ion collision passes close to the O(4) critical point QCD, where fluctuations order parameter are expected be enhanced. Using appropriate stochastic hydrodynamic equations in mean field near pseudo-critical point, we compute how these enhanced modify transport coefficients QCD. Finally, estimate enhancement soft pion yields, which provides plausible explanation for exce...