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Michael Overton

Silver Professor; Professor of Computer Science and Mathematics

    1979 …2019
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    Fingerprint Weighted list of dominant concepts in the researcher's publications (titles and abstracts).

    Abscissa Mathematics
    Pseudospectra Mathematics
    Eigenvalue Mathematics
    Variational Analysis Mathematics
    Semidefinite Programming Mathematics
    Polynomials Engineering & Materials Science
    Controllers Engineering & Materials Science
    Newton-Raphson method Engineering & Materials Science

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    Research Output 1979 2019

    Steepest descent method
    Nonsmooth Function
    Gradient methods
    Line Search
    Gradient Method

    Low-Order Control Design using a Reduced-Order Model with a Stability Constraint on the Full-Order Model

    Benner, P., Mitchell, T. & Overton, M., Jan 18 2019, 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3000-3005 6 p. 8619449. (Proceedings of the IEEE Conference on Decision and Control; vol. 2018-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Reduced Order Model
    Control Design
    Controller
    Controllers
    Model Order Reduction

    Approximating the real structured stability radius with frobenius-norm bounded perturbations

    Guglielmi, N., Gürbüzbalaban, M., Mitchell, T. & Overton, M., Jan 1 2017, In : SIAM Journal on Matrix Analysis and Applications. 38, 4, p. 1323-1353 31 p.

    Research output: Contribution to journalArticle

    Stability Radius
    Frobenius norm
    Perturbation
    Pseudospectra
    Abscissa

    A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles

    Curtis, F. E., Mitchell, T. & Overton, M., Jul 16 2016, (Accepted/In press) In : Optimization Methods and Software. p. 1-34 34 p.

    Research output: Contribution to journalArticle

    SQP Method
    Constrained optimization
    Constrained Optimization
    Evaluation
    Lipschitz

    Hybrid expansion-contraction: A robust scaleable method for approximating the H norm

    Mitchell, T. & Overton, M., Jul 1 2016, In : IMA Journal of Numerical Analysis. 36, 3, p. 985-1014 30 p.

    Research output: Contribution to journalArticle

    Robust Methods
    Contraction
    Stationary point
    Norm
    Contraction Method