World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
52
Citations
10589
World Ranking
961
National Ranking
447

Engineering and Technology

D-Index
52
Citations
10597
World Ranking
3615
National Ranking
1059

Research.com Recognitions

  • 2009 - SIAM Fellow For advances in numerical optimization and eigenvalue problems.

Overview

Michael L. Overton is affiliated with the Courant Institute of Mathematical Sciences in the United States. Their research spans multiple disciplines, primarily within Mathematics, Computer Science, and Engineering. The subfields of study associated with their work include Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Applied Mathematics, and Artificial Intelligence.

Their work focuses on several main topics, including Advanced Optimization Algorithms Research, Matrix Theory and Algorithms, Sparse and Compressive Sensing Techniques, Mathematical Functions and Polynomials, Stochastic Gradient Optimization Techniques, Model Reduction and Neural Networks, and Probabilistic and Robust Engineering Design.

Publication venues in which Michael L. Overton frequently appears include:

  • arXiv (Cornell University)
  • SIAM Review
  • CALCOLO
  • Optimization Letters
  • SIAM Journal on Scientific Computing

Significant papers authored or coauthored by Michael L. Overton include:

  • Local minimizers of the Crouzeix ratio: a nonsmooth optimization case study, 2021, CALCOLO
  • First-Order Perturbation Theory for Eigenvalues and Eigenvectors, 2020, SIAM Review (Authored by Anne Greenbaum)
  • Multifidelity Robust Controller Design with Gradient Sampling, 2023, SIAM Journal on Scientific Computing (Authored by Steffen W. R. Werner)
  • Analysis of limited-memory BFGS on a class of nonsmooth convex functions, 2020, IMA Journal of Numerical Analysis (Authored by A Nasrollah Zadeh Asl)
  • H-infinity Strong Stabilization via HIFOO, a Package for Fixed-Order Controller Design, 2020, arXiv (Cornell University) (Authored by Suat Gümüşsoy)

Frequent coauthors working alongside Michael L. Overton include:

  • A Nasrollah Zadeh Asl
  • Tim Mitchell
  • Steffen W. R. Werner
  • Benjamin Peherstorfer
  • Pinze Yu

In addition to journal and conference papers, Michael L. Overton has contributed to book publications. They have a work published by the Society for Industrial and Applied Mathematics titled Numerical Computing with IEEE Floating Point Arithmetic: Including One Theorem, One Rule of Thumb, and One Hundred and Six Exercises, Second Edition, with the edition scheduled for 2025.

Michael L. Overton was recognized as a SIAM Fellow in 2009 for advances in numerical optimization and eigenvalue problems.

Best Publications

  • Primal-Dual Interior-Point Methods for Semidefinite Programming: Convergence Rates, Stability and Numerical Results

    Farid Alizadeh;Jean-Pierre A. Haeberly;Michael L. Overton

  • A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization

    James V. Burke;Adrian S. Lewis;Michael L. Overton

  • Numerical Computing with IEEE Floating Point Arithmetic

    Michael L. Overton

  • Nonsmooth optimization via quasi-Newton methods

    Adrian S. Lewis;Michael L. Overton

  • Complementarity and nondegeneracy in semidefinite programming

    Farid Alizadeh;Jean-Pierre A. Haeberly;Michael L. Overton

  • HIFOO - A MATLAB package for fixed-order controller design and H ∞ optimization

    J.V. Burke;D. Henrion;A.S. Lewis;M.L. Overton

  • Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization

    Jorge Nocedal;Michael L. Overton

  • On minimizing the maximum eigenvalue of a symmetric matrix

    Michael L. Overton

  • Large-Scale Optimization of Eigenvalues

    M. Overton

  • The reduced density matrix method for electronic structure calculations and the role of three-index representability conditions

    Zhengji Zhao;Bastiaan J. Braams;Mituhiro Fukuda;Michael L. Overton

  • The Formulation and Analysis of Numerical Methods for Inverse Eigenvalue Problems

    S. Friedland;J. Nocedal;M. L. Overton

  • Optimality Conditions and Duality Theory for Minimizing Sums of the Largest Eigenvalues of Symmetric Matrices

    M. L. Overton;R. S. Womersley

  • Multiobjective robust control with HIFOO 2.0

    Suat Gumussoy;Didier Henrion;Didier Henrion;Marc Millstone;Michael L. Overton

  • A Block Lanczos Method for Computing the Singular Values and Corresponding Singular Vectors of a Matrix

    Gene H. Golub;Franklin T. Luk;Michael L. Overton

  • On the Lidskii--Vishik--Lyusternik Perturbation Theory for Eigenvalues of Matrices with Arbitrary Jordan Structure

    Julio Moro;James V. Burke;Michael L. Overton

  • An Efficient Primal-Dual Interior-Point Method for Minimizing a Sum of Euclidean Norms

    Knud D. Andersen;Edmund Christiansen;Andrew R. Conn;Michael L. Overton

  • Stabilization via Nonsmooth, Nonconvex Optimization

    J.V. Burke;D. Henrion;A.S. Lewis;M.L. Overton

  • A Primal-dual Interior Method for Nonconvex Nonlinear Programming

    Michael L. Overton;Margaret H. Wright

  • The convergence of inexact Chebyshev and Richardson iterative methods for solving linear systems

    Gene H. Golub;Michael L. Overton

  • On the sum of the largest eigenvalues of a symmetric matrix

    Michael L. Overton;Robert S. Womersley

  • SIAM Journal on Optimization

    C Audet;H H Bauschke;L T Biegler;P L Combettes

  • Eigenvalue optimization

    Unknown

Frequent Co-Authors

James V. Burke
James V. Burke University of Washington
Adrian S. Lewis
Adrian S. Lewis Cornell University
Jorge Nocedal
Jorge Nocedal Northwestern University
Tamar Schlick
Tamar Schlick New York University
Robert S. Womersley
Robert S. Womersley University of New South Wales
Charles S. Peskin
Charles S. Peskin Courant Institute of Mathematical Sciences
Suse Broyde
Suse Broyde New York University
Vincent D. Blondel
Vincent D. Blondel Université Catholique de Louvain
Franz Rendl
Franz Rendl University of Klagenfurt
Margaret H. Wright
Margaret H. Wright New York University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, expanding skillsets through related online degrees can open diverse career opportunities. Many professionals complement their math background with an MBA to enhance leadership and business analytics skills. Options like the cheapest 1 year online mba programs provide affordable, accelerated pathways without compromising quality.

Transferable credits can make these programs more accessible. For those looking to continue their academic journey, exploring mba programs that accept transfer credits can significantly reduce time and cost by leveraging prior coursework.

Beyond business, data-driven roles are booming. Analysts and data scientists rely heavily on strong mathematical foundations. Pursuing an analytics masters programs can provide targeted expertise in interpreting big data, predictive modeling, and decision-making frameworks.

For those balancing work and study, identifying the easiest mba programs to get into allows for smoother transitions into graduate education while maintaining professional commitments. Each pathway can uniquely complement a mathematics degree and enhance career prospects.

Best Scientists Citing Michael L. Overton

Trending Scientists

Recently Published Articles