معرفی
Margaret H. Wright is Professor of Computer Science at the Courant Institute of Mathematical Sciences, New York University, where her work spans optimization, numerical linear algebra, and scientific computing.
Education: Specific degrees and institutions are not listed in the provided text.
Research Interests: Her scholarship focuses on the theory, algorithms, and practical implementation of optimization methods, especially interior-point techniques for nonlinear programming and the analysis of direct-search algorithms such as the Nelder–Mead simplex method. She pursues both fundamental convergence questions and numerical stability issues arising in large-scale scientific computation.
Publication Trends: Across four decades Wright has co-authored seminal books and journal articles that shaped modern optimization. Her 1981 and 1991 monographs integrated numerical linear algebra with optimization practice, while later papers illuminated the interior-point revolution and provided rigorous convergence analyses of the Nelder–Mead method in low dimensions.
Scientific Awards & Service: The text does not enumerate specific awards, but records major professional service: Chair of the 2010 International Review of Mathematical Sciences Research (United Kingdom), Scientific Advisory Board memberships for Matheon (Berlin) and the Stony Brook Institute for Advanced Computational Science, and Senior Fellow of the Simons Society of Fellows.
Teaching & Grants: During 2018 she taught “Introduction to Numerical Optimization” (fall) and “Numerical Computing” (spring) to undergraduates. No grant information or lists of supervised students are provided.
Labs & Teams: No dedicated laboratory or research group names are mentioned.
