World's Best Scientists 2026 revealed!
Margaret H. Wright

Margaret H. Wright

D-Index & Metrics

Mathematics

D-Index
38
Citations
18903
World Ranking
2260
National Ranking
950

Engineering and Technology

D-Index
39
Citations
26753
World Ranking
7485
National Ranking
2036

Research.com Recognitions

  • 2019 - John von Neumann Lecturer
  • 2013 - Fellow of the American Mathematical Society
  • 2009 - SIAM Fellow For contributions to numerical optimization and service to the profession.
  • 2005 - Member of the National Academy of Sciences
  • 2001 - Fellow of the American Academy of Arts and Sciences
  • 1997 - Member of the National Academy of Engineering For development of numerical optimization algorithms and for leadership in the applied mathematics community.

Overview

Margaret H. Wright is affiliated with New York University in the United States. Their research spans multiple fields within computer science and mathematics, focusing particularly on computational theory, numerical analysis, and applied optimization techniques.

The main fields of study in their work include:

  • Computer Science
  • Mathematics

Within these disciplines, their subfields of specialization cover:

  • Computational Theory and Mathematics
  • Numerical Analysis

Key topics central to their research encompass:

  • Advanced Optimization Algorithms Research
  • Matrix Theory and Algorithms
  • Numerical Methods and Algorithms

Margaret H. Wright has collaborated frequently with co-authors Philip E. Gill and Walter Murray, each credited alongside Wright in eight joint publications.

Among their scholarly contributions is a book published by the Society for Industrial and Applied Mathematics, titled Numerical Linear Algebra and Optimization, released in 2021. This work has been cited over 500 times, indicating its presence in the academic community.

The scientist's career includes recognition through various awards:

  • John von Neumann Lecturer (2019)
  • Fellow of the American Mathematical Society (2013)
  • SIAM Fellow (2009), awarded for contributions to numerical optimization and service to the profession
  • Member of the National Academy of Sciences (2005)
  • Fellow of the American Academy of Arts and Sciences (2001)
  • Member of the National Academy of Engineering (1997), recognized for development of numerical optimization algorithms and leadership in the applied mathematics community

Best Publications

  • Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions

    Jeffrey C. Lagarias;James A. Reeds;Margaret H. Wright;Paul E. Wright

  • Interior Methods for Nonlinear Optimization

    Anders Forsgren;Philip E. Gill;Margaret H. Wright

  • Numerical Linear Algebra and Optimization

    Philip E. Gill;Walter Murray;Margaret H. Wright

  • On projected Newton barrier methods for linear programming and an equivalence to Karmarkar's projective method

    Philip E. Gill;Walter Murray;Michael A. Saunders;J. A. Tomlin

  • User's Guide for NPSOL (Version 4.0): A Fortran Package for Nonlinear Programming.

    Philip E Gill;Walter Murray;Michael A Saunders;Margaret H Wright

  • The interior-point revolution in optimization: History, recent developments, and lasting consequences

    Margaret H. Wright

  • WISE design of indoor wireless systems: practical computation and optimization

    S.J. Fortune;B.W. Kernighan;O. Landron

  • Direct search methods: Once scorned, now respectable

    Margaret Wright

  • Aquifer Reclamation Design: The Use of Contaminant Transport Simulation Combined With Nonlinear Programing

    Steven M. Gorelick;Clifford I. Voss;Philip E. Gill;Walter Murray

  • User's Guide for SOL/NPSOL: A Fortran Package for Nonlinear Programming.

    Philip E Gill;Walter Murray;Michael A Saunders;Margaret H Wright

  • Interior methods for constrained optimization

    Margaret H. Wright

  • Procedures for optimization problems with a mixture of bounds and general linear constraints

    Philip E. Gill;Walter Murray;Michael A. Saunders;Margaret H. Wright

  • The opportunities and challenges of exascale computing

    Margaret Wright

  • Fortran package for nonlinear programming. User's Guide for NPSOL (Version 4. 0)

    P.E. Gill;W. Murray;Saunders;M.H. Wright

  • A practical anti-cycling procedure for linearly constrained optimization

    P. E. Gill;W. Murray;M. A. Saunders;M. H. Wright

  • A deferred correction method for nonlinear two-point boundary value problems: implementation and numerical evaluation

    J. R. Cash;M. H. Wright

  • A Primal-dual Interior Method for Nonconvex Nonlinear Programming

    Michael L. Overton;Margaret H. Wright

  • Inertia-controlling methods for general quadratic programming

    P. E. Gill;W. Murray;M. A. Saunders;M. H. Wright

  • Computing Forward-Difference Intervals for Numerical Optimization

    Philip E. Gill;Walter Murray;Michael A. Saunders;Margaret H. Wright

  • Ill-Conditioning and Computational Error in Interior Methods for Nonlinear Programming

    Margaret H. Wright

Frequent Co-Authors

Philip E. Gill
Philip E. Gill University of California, San Diego
Walter Murray
Walter Murray Stanford University
Michael A. Saunders
Michael A. Saunders Stanford University
Jeffrey C. Lagarias
Jeffrey C. Lagarias University of Michigan–Ann Arbor
Nicholas I. M. Gould
Nicholas I. M. Gould University of Oxford
Michael L. Overton
Michael L. Overton Courant Institute of Mathematical Sciences
Frank H. Stillinger
Frank H. Stillinger Princeton University
Lorenz T. Biegler
Lorenz T. Biegler Carnegie Mellon University
Reinaldo A. Valenzuela
Reinaldo A. Valenzuela Nokia (United States)

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

Pursuing a Mathematics degree in the USA opens doors to various online graduate programs that complement mathematical skills. For those interested in turning data into actionable insights, analytics masters programs are a natural extension. These programs focus on statistical methods, machine learning, and data visualization, bridging the gap between theoretical math and real-world application.

Many professionals seeking leadership roles in tech or finance consider advancing their education with business degrees. In this regard, options like the easiest mba provide a flexible pathway to build management skills without the demanding entry requirements of traditional programs.

Online learning has made obtaining an MBA more accessible than ever. Students balancing work and study often explore the easiest online mba programs to get into, which offer convenience alongside a recognized qualification.

For those aiming at senior executive roles, a Doctor of Business Administration can be a powerful asset. The cheapest dba online options provide cost-effective solutions without compromising quality, making high-level academic achievement more attainable.

Best Scientists Citing Margaret H. Wright

Trending Scientists