We introduce algorithms for tensor completion which are based on rank-one tensor updating.At each iteration,a rank-one tensor is selected by computing the t
Conic integral geometry provides deep insights as well as-exactformulas for the probabilities of important events such as-success of the compressed sensing
We present a parallel subspace decomposition framework for nonlinear optimization,which can be regarded as an extension of the domain decomposition method f
We present software that uses concurrent evaluations of the objective function to identify all of its local minima.The method is based on a multistart algor
Black-box optimization problems arise frequently in real-world applications.In these problems,the function values are provided by blackboxes(typically simul
This paper study stochastic control for systems with transmission delay.A sufficient and necessary stabilizing condition is presented for the stochastic sys
In this report,the problem of distributed output tracking for highorder uncertain nonlinear multi-agent systems is presented.For the case where the graph to