The well-known Tsar’kov’s characterisation of finite-dimensional Banach spaces in which every bounded Chebyshev set (bounded P-acyclic set) is convex is extended to the asymmetrical setting.
A direct method is proposed for stochastic programming. On each step the method uses solving of the linear program which is the linear approximation of input stochastic programs.
