The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...
SIAM Journal on Numerical Analysis, Vol. 50, No. 1 (2012), pp. 328-353 (26 pages) In this article we construct and analyze multigrid preconditioned for discretizations of operators of the form D λ + K ...
A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...
There’s a lot of excitement around exascale-class supercomputing and the possibilities of quantum computing, but there’s an emerging alternative advanced computing paradigm that transcends the limits ...
Traffic modeling has been of interest to mathematicians since the 1950s. Research in the area has only grown as road traffic control presents an ever-increasing problem. In a new paper, authors ...
where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...
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