| Julia: A fresh approach to numerical computing J Bezanson, A Edelman, S Karpinski, VB Shah SIAM review 59 (1), 65-98, 2017 | 6911 | 2017 |
| The geometry of algorithms with orthogonality constraints A Edelman, TA Arias, ST Smith SIAM journal on Matrix Analysis and Applications 20 (2), 303-353, 1998 | 3387 | 1998 |
| Eigenvalues and condition numbers of random matrices A Edelman SIAM journal on matrix analysis and applications 9 (4), 543-560, 1988 | 1654 | 1988 |
| Julia: A fast dynamic language for technical computing J Bezanson, S Karpinski, VB Shah, A Edelman arXiv preprint arXiv:1209.5145, 2012 | 1068 | 2012 |
| Matrix models for beta ensembles I Dumitriu, A Edelman arXiv preprint math-ph/0206043, 2002 | 788 | 2002 |
| Universal differential equations for scientific machine learning C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385, 2020 | 759 | 2020 |
| Random matrix theory A Edelman, NR Rao Acta numerica 14, 233-297, 2005 | 641 | 2005 |
| How many zeros of a random polynomial are real? A Edelman, E Kostlan Bulletin of the American Mathematical Society 32 (1), 1-37, 1995 | 548 | 1995 |
| Petabricks: A language and compiler for algorithmic choice J Ansel, C Chan, YL Wong, M Olszewski, Q Zhao, A Edelman, ... ACM Sigplan Notices 44 (6), 38-49, 2009 | 525 | 2009 |
| Modeling and rendering of weathered stone J Dorsey, A Edelman, HW Jensen, J Legakis, HK Pedersen ACM SIGGRAPH 2005 Courses, 4-es, 2005 | 436 | 2005 |
| Sample eigenvalue based detection of high-dimensional signals in white noise using relatively few samples RR Nadakuditi, A Edelman IEEE Transactions on Signal Processing 56 (7), 2625-2638, 2008 | 355 | 2008 |
| Polynomial roots from companion matrix eigenvalues A Edelman, H Murakami Mathematics of Computation 64 (210), 763-776, 1995 | 335 | 1995 |
| The efficient evaluation of the hypergeometric function of a matrix argument P Koev, A Edelman Mathematics of Computation 75 (254), 833-846, 2006 | 298 | 2006 |
| The probability that a random real gaussian matrix haskreal eigenvalues, related distributions, and the circular law A Edelman journal of multivariate analysis 60 (2), 203-232, 1997 | 290 | 1997 |
| Nonnegativity-, monotonicity-, or convexity-preserving cubic and quintic Hermite interpolation RL Dougherty, AS Edelman, JM Hyman mathematics of computation 52 (186), 471-494, 1989 | 241 | 1989 |
| How many eigenvalues of a random matrix are real? A Edelman, E Kostlan, M Shub Journal of the American Mathematical Society 7 (1), 247-267, 1994 | 239 | 1994 |
| A differentiable programming system to bridge machine learning and scientific computing M Innes, A Edelman, K Fischer, C Rackauckas, E Saba, VB Shah, ... arXiv preprint arXiv:1907.07587, 2019 | 227 | 2019 |
| Parallel MATLAB: Doing it right R Choy, A Edelman Proceedings of the IEEE 93 (2), 331-341, 2005 | 218 | 2005 |
| A geometric approach to perturbation theory of matrices and matrix pencils. Part I: Versal deformations A Edelman, E Elmroth, B Kågström SIAM Journal on Matrix Analysis and Applications 18 (3), 653-692, 1997 | 185 | 1997 |
| Language and compiler support for auto-tuning variable-accuracy algorithms J Ansel, YL Wong, C Chan, M Olszewski, A Edelman, S Amarasinghe International Symposium on Code Generation and Optimization (CGO 2011), 85-96, 2011 | 176 | 2011 |
Viral B. ShahCo-founder and CEO, JuliaHubVerified email at juliahub.com