Ilse Ipsen

Mathematics

Research Interests

  • Numerical linear algebra
  • randomized algorithms
  • scientific computation
  • numerical analysis
  • matrix theory
  • applications to nonlinear problems
  • parameter estimation and statistics.

Education

DegreeProgramSchoolYear
Ph.D.Doctor of Philosophy in Computer ScienceThe Pennsylvania State University1983
VordiplomVordiplom InformatikUniversitat Kaiserslautern1977
VordiplomVordiplom MathematikUniversitat Kaiserslautern1977

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

View all publications via NC State Libraries

Ilse Ipsen