Matt Menickelly
About
Matt Menickelly has authored 15 papers that have received a total of 407 indexed citations.
This includes 9 papers in Artificial Intelligence, 7 papers in Computational Mechanics and 5 papers in Numerical Analysis. The topics of these papers are Sparse and Compressive Sensing Techniques (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Advanced Optimization Algorithms Research (4 papers). Matt Menickelly is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Advanced Optimization Algorithms Research (4 papers) and collaborates with scholars based in United States, Germany and United Kingdom. Matt Menickelly's co-authors include Stefan M. Wild, Katya Scheinberg, Jeffrey Larson, Jayant Kalagnanam and Dzung T. Phan and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Scientific Computing and SIAM Journal on Optimization
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