World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
19931
World Ranking
1974
National Ranking
832

Engineering and Technology

D-Index
41
Citations
20161
World Ranking
6777
National Ranking
1834

Research.com Recognitions

  • 2010 - ACM Fellow For leadership of the computing community in education and diversity, and for contributions to numerical optimization.
  • 2009 - SIAM Fellow For contributions to numerical optimization.

Overview

Robert B. Schnabel is affiliated with the University of Colorado Boulder in the United States. Their research spans multiple fields, including Social Sciences, Computer Science, and Decision Sciences.

Their work is distributed among several specialized subfields such as Safety Research, Signal Processing, and Information Systems and Management. Across these areas, Schnabel has contributed to topics that include:

  • Ethics and Social Impacts of AI
  • Advanced Malware Detection Techniques
  • Ethics in Business and Education

Collaborations form a part of Schnabel's academic activity, with frequent co-authors including Ariana Cuvin and Olivier St-Cyr.

In terms of publications, Schnabel has authored a book titled OER for Ethics and Computing Open Access Collection, published by the Association for Computing Machinery in 2023.

Awards recognizing Schnabel's contributions include being named an ACM Fellow in 2010 for leadership in the computing community related to education and diversity as well as contributions to numerical optimization. Additionally, Schnabel was honored as a SIAM Fellow in 2009 for contributions to numerical optimization.

Best Publications

  • Numerical methods for unconstrained optimization and nonlinear equations

    J. E. Dennis;Robert B. Schnabel

  • Representations of quasi-Newton matrices and their use in limited memory methods

    Richard H. Byrd;Jorge Nocedal;Robert B. Schnabel

  • Approximate solution of the trust region problem by minimization over two-dimensional subspaces

    Richard H. Byrd;Robert B. Schnabel;Gerald A. Shultz

  • A Trust Region Algorithm for Nonlinearly Constrained Optimization

    Richard H. Byrd;Robert B. Schnabel;Gerald A. Shultz

  • A Stable and Efficient Algorithm for Nonlinear Orthogonal Distance Regression

    Paul T. Boggs;Richard H. Byrd;Robert B. Schnabel

  • A Family of Trust Region Based Algorithms for Unconstrained Minimization with Strong Global Convergence Properties.

    Gerald A. Shultz;Robert B. Schnabel;Richard H. Byrd

  • Algorithm 676: ODRPACK: software for weighted orthogonal distance regression

    Paul T. Boggs;Janet R. Donaldson;Richaard h. Byrd;Robert B. Schnabel

  • Computational Experience With Confidence Regions and Confidence Intervals for Nonlinear Least Squares

    Janet R. Donaldson;Robert B. Schnabel

  • Least Change Secant Updates for Quasi-Newton Methods

    John E. Dennis;Robert B. Schnabel

  • A modular system of algorithms for unconstrained minimization

    Robert B. Schnabel;John E. Koonatz;Barry E. Weiss

  • User's reference guide for ODRPACK version 2.01:: software for weighted orthogonal distance regression

    Paul T Boggs;Richard H Byrd;Janet E Rogers;Robert B Schnabel

  • A New Modified Cholesky Factorization.

    Robert B. Schnabel;Elizabeth Eskow

  • Tensor Methods for Nonlinear Equations.

    Robert B. Schnabel;Paul D. Frank

  • A Theoretical and Experimental Study of the Symmetric Rank-One Update

    Humaid Khalfan;Richard H. Byrd;Robert B. Schnabel

  • Numerical Methods for Unconstrained Optimization and Nonlinear Equations.

    Robert E. Kass;John E. Dennis;Robert B. Schnabel

  • Parallel quasi-Newton methods for unconstrained optimization

    R. H. Byrd;R. B. Schnabel;G. A. Shultz

  • A view of unconstrained optimization

    J. E. Dennis;R. B. Schnabel

  • The DINO parallel programming language

    Matthew Rosing;Robert B. Schnabel;Robert P. Weaver

  • Analysis of a Symmetric Rank-One Trust Region Method

    Richard H. Byrd;Humaid Fayez Khalfan;Robert B. Schnabel

  • A computational examination of orthogonal distance regression

    Paul T Boggs;Janet R Donaldson;Robert B Schnabel;Clifford H Spiegelman

  • A Family of Trust Region Based Algorithms for Unconstrained Minimization with Strong Global Convergence Properties ; CU-CS-216-82

    Gerald A Shultz;Robert B Schnabel;Richard H Byrd

  • A Trust Region Algorithm for Nonlinearly Constrained Optimization ; CU-CS-313-85

    Richard H Byrd;Robert B Schnabel;Gerald A Shultz

  • Approximate Solution of the Trust Region Problem by Minimization over Two-Dimensional Subspaces ; CU-CS-346-86

    Richard H Byrd;Robert B Schnabel;Gerald A Schultz

Frequent Co-Authors

Richard H. Byrd
Richard H. Byrd University of Colorado Boulder
John E. Dennis
John E. Dennis Rice University
Teresa Head-Gordon
Teresa Head-Gordon University of California, Berkeley
André van der Hoek
André van der Hoek University of California, Irvine
Benjamin G. Zorn
Benjamin G. Zorn Microsoft (United States)
Jorge Nocedal
Jorge Nocedal Northwestern University
Philippe L. Toint
Philippe L. Toint University of Namur
J. Strother Moore
J. Strother Moore The University of Texas at Austin

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