We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
We propose a unifying method for analysis of scheduling problems in real-time systems. The method is based on ACSR-VP, a real-time process algebra with value-passing capabilities....
Hee-Hwan Kwak, Insup Lee, Anna Philippou, Jin-Youn...
The DisCAS system employs and interacts with multiple ELIMINOs distributed over the Internet to achieve a distributed-parallel computing environment. ELIMINO is a computer algebra ...
Abstract We present a matrix-free line search algorithm for large-scale equality constrained optimization that allows for inexact step computations. For sufficiently convex problem...
This paper extends the set of problems for which a global solution can be found using modern optimization methods. In particular, the method is applied to estimation of the essent...