We introduce a distributionally robust minimium mean square error estimation model with Wasserstein ambiguity set to recover an unknown signal from noisy observation. The proposed can be viewed as zero-sum game between statistician choosing estimator—that is, measurable function of the observation—and fictitious adversary prior—that pair and noise distributions ranging over independent balls—wi...

In the design of a large deployable mesh reflector, high surface accuracy is one ultimate goals since it directly determines overall performance reflector. Therefore, evaluation needed in many cases and analysis reflectors. The usually specified as root-mean-square error, which measures deviation geometry from desired working surface. this paper, methods error calculation for reflectors are rev...