Abstract: This article devotes to investigate the fuzzy optimal consensus problem for multiagent systems (MASs) subject to denial-of-service (DoS) attacks by using the dynamic event-triggered (DET) ...
Abstract: Sparsity-constrained optimization problems are common in machine learning, such as sparse coding, low-rank minimization and compressive sensing. However, most of previous studies focused on ...
Don't underestimate the power of a yes-or-no question. Some of the toughest computing problems boil down to thousands of tiny ...
When generative AI arrived, most organizations gave employees better tools for the work they were already doing. Better ...
I am Professor in the Industrial Engineering and Operations Research department at Columbia University. I received my PhD in Algorithms, Combinatorics and Optimization (ACO) in 2008 from Tepper School ...
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