Alan J. Laub
About
Alan J. Laub has authored 116 papers that have received a total of 6.3k indexed citations.
This includes 49 papers in Computational Theory and Mathematics, 49 papers in Statistical and Nonlinear Physics and 46 papers in Numerical Analysis. The topics of these papers are Matrix Theory and Algorithms (42 papers), Model Reduction and Neural Networks (38 papers) and Numerical methods for differential equations (35 papers). Alan J. Laub is often cited by papers focused on Matrix Theory and Algorithms (42 papers), Model Reduction and Neural Networks (38 papers) and Numerical methods for differential equations (35 papers) and collaborates with scholars based in United States, Canada and Germany. Alan J. Laub's co-authors include Charles Kenney, P. Gahinet, Judith D. Gardiner, B. Moore and Philip M. Papadopoulos and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Automatica
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