Ilse Ipsen
Mathematics
- Phone: 919-515-3399
- Email: ipsen@ncsu.edu
- Office: SAS Hall 4234
- Website: http://www4.ncsu.edu/~ipsen/index.html
Research Interests
- Numerical linear algebra
- randomized algorithms
- scientific computation
- numerical analysis
- matrix theory
- applications to nonlinear problems
- parameter estimation and statistics.
Education
Degree | Program | School | Year |
---|---|---|---|
Ph.D. | Doctor of Philosophy in Computer Science | The Pennsylvania State University | 1983 |
Vordiplom | Vordiplom Informatik | Universitat Kaiserslautern | 1977 |
Vordiplom | Vordiplom Mathematik | Universitat Kaiserslautern | 1977 |
Honors and Awards
- Fellow of the AAAS
- Fellow of SIAM
- 2016 – 2017 | SIAM VP at Large
- 2004 – 2009 | SIAM VP for Programs
- 2005 – 2011 | Section Editor, SIAM Review
Publications
- Small Singular Values Can Increase in Lower Precision
- Boutsikas, C., Drineas, P., & Ipsen, I. C. F. (2024), SIAM Journal on Matrix Analysis and Applications. https://doi.org/10.1137/23M1557209
- MONTE CARLO METHODS FOR ESTIMATING THE DIAGONAL OF A REAL SYMMETRIC MATRIX
- Hallman, E., Ipsen, I. C. F., & Saibaba, A. K. (2023), SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 44(1), 240–269. https://doi.org/10.1137/22M1476277
- Precision-aware deterministic and probabilistic error bounds for floating point summation
- Hallman, E., & Ipsen, I. C. F. (2023, August 30), NUMERISCHE MATHEMATIK, Vol. 8. https://doi.org/10.1007/s00211-023-01370
- Precision-aware deterministic and probabilistic error bounds for floating point summation
- Hallman, E., & Ipsen, I. C. F. (2023), NUMERISCHE MATHEMATIK, 155(1-2), 83–119. https://doi.org/10.1007/s00211-023-01370-y
- Statistical properties of BayesCG under the Krylov prior
- Reid, T. W., Ipsen, I. C. F., Cockayne, J., & Oates, C. J. (2023, October 12), NUMERISCHE MATHEMATIK, Vol. 10. https://doi.org/10.1007/s00211-023-01375-7
- A projector-based approach to quantifying total and excess uncertainties for sketched linear regression
- Chi, J. T., & Ipsen, I. C. F. (2021, August 11), INFORMATION AND INFERENCE-A JOURNAL OF THE IMA, Vol. 8. https://doi.org/10.1093/imaiai/iaab016
- Multiplicative perturbation bounds for multivariate multiple linear regression in Schatten p-norms
- Chi, J. T., & Ipsen, I. C. F. (2021), LINEAR ALGEBRA AND ITS APPLICATIONS, 624, 87–102. https://doi.org/10.1016/j.laa.2021.03.039
- Probabilistic Iterative Methods for Linear Systems
- , (2021). Journal of Machine Learning Research. Retrieved from http://jmlr.org/papers/v22/21-0031.html
- SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data
- Chi, J. T., Ipsen, I. C. F., Hsiao, T.-H., Lin, C.-H., Wang, L.-S., Lee, W.-P., … Tzeng, J.-Y. (2021), FRONTIERS IN GENETICS, 12. https://doi.org/10.3389/fgene.2021.710055
- SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-based GxE Tests in Biobank Data
- , . (2021). https://doi.org/https://doi.org/10.3389/fgene.2021.710055