BOZEMAN, Mont.--(BUSINESS WIRE)--Analytics software leader FICO today announced the release of a true global mathematical optimization solver as part of FICO ® Xpress 9.2 Optimization. The global ...
Publicly traded quantum companies, particularly the pure-play innovators, have delivered insane stock price runs over the ...
The Difference of Convex functions Algorithm (DCA) is used to solve nonconvex optimization problems over a certain convex set, specifically quadratic programming ones, generally by finding approximate ...
Annealing processors are more energy efficient and quicker at solving mathematical optimization problems than PCs. Researchers at Tokyo University of Science have now developed a new approach to ...
Quantum computing has entered a bit of an awkward period. There have been clear demonstrations that we can successfully run quantum algorithms, but the qubit counts ...
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 ...
The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...
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