Category: Stochastic Systems
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More efficient wind turbine reliability simulation
Digitally testing the reliability of large-scale structures can be computationally intensive, but a new method significantly boosts efficiency while maintaining accuracy.
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Berahas Receives ONR Grant to Develop Advanced Optimization Algorithms
The grant will fund the development of cutting-edge algorithms for solving complex nonlinear constrained stochastic optimization problems. Albert Berahas, and Micheal O’Neill will lead the research to advance optimization methods and address real-world challenges.
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Do Third-Party Delivery Services Benefit Restaurants?
U-M IOE researchers discovered that a restaurant can benefit from partnering with third-party delivery services if at least one of five conditions applies to them.
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Kati Moug receives 2021 Generation Google Scholarship
U-M IOE PhD student, Kati Moug, has received a 2021 Generation Google Scholarship in recognition of academic performance, leadership, and a commitment to diversity, equity and inclusion.
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Viswanath Nagarajan receives NSF funding to research a new class of stochastic optimization problems
U-M IOE Assistant Professor Viswanath Nagarajan has received NSF funding to explore models and algorithms for stochastic covering problems in the presence of noisy outcomes.
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How to hack your deadline: Admit it’s uncertain
Two simple steps can take the fear out of drop-dead dates.