Mark Tygert
About
Mark Tygert has authored 30 papers that have received a total of 1.6k indexed citations.
This includes 14 papers in Computational Mechanics, 13 papers in Artificial Intelligence and 7 papers in Statistics and Probability. The topics of these papers are Sparse and Compressive Sensing Techniques (12 papers), Stochastic Gradient Optimization Techniques (8 papers) and Electromagnetic Scattering and Analysis (6 papers). Mark Tygert is often cited by papers focused on Sparse and Compressive Sensing Techniques (12 papers), Stochastic Gradient Optimization Techniques (8 papers) and Electromagnetic Scattering and Analysis (6 papers) and collaborates with scholars based in United States and Israel. Mark Tygert's co-authors include Vladimir Rokhlin, Per‐Gunnar Martinsson, Arthur Szlam, Edo Liberty and Yann LeCun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Computational Physics
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