World's Best Scientists 2026 revealed!
Danny C. Sorensen

Danny C. Sorensen

D-Index & Metrics

Mathematics

D-Index
58
Citations
24729
World Ranking
613
National Ranking
308

Engineering and Technology

D-Index
59
Citations
27911
World Ranking
2274
National Ranking
708

Research.com Recognitions

  • 2010 - SIAM Fellow For contributions to numerical linear algebra, optimization, and model reduction.
  • 2009 - Fellow of the American Statistical Association (ASA)

Overview

Danny C. Sorensen is affiliated with Rice University in the United States. Their work spans multiple areas within applied mathematics and computational science, focusing on numerical linear algebra, optimization, and model reduction.

Sorensen's research contributions have been recognized by several professional organizations. They were named a Fellow of the American Statistical Association (ASA) in 2009. In 2010, they were awarded the distinction of SIAM Fellow for contributions to numerical linear algebra, optimization, and model reduction.

Throughout their career, Sorensen has engaged with various research topics involving mathematical methods and algorithms that support scientific computing. Their emphasis on optimization and model reduction indicates work that likely integrates computational techniques for improving efficiency and accuracy in solving complex mathematical problems.

Their involvement at Rice University aligns with the institution's focus on science and engineering, which often encourages interdisciplinary approaches combining statistics, applied mathematics, and computational technologies.

Best Publications

  • ARPACK Users' Guide: Solution of Large-Scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods

    R. B. Lehoucq;D. C. Sorensen;C. Yang

  • Nonlinear Model Reduction via Discrete Empirical Interpolation

    Saifon Chaturantabut;Danny C. Sorensen

  • Computing a Trust Region Step

    Jorge J. Moré;D. C. Sorensen

  • Implicit application of polynomial filters in a k-step Arnoldi method

    D. C. Sorensen

  • Deflation Techniques for an Implicitly Restarted Arnoldi Iteration

    R. B. Lehoucq;D. C. Sorensen

  • A Survey of Model Reduction Methods for Large-Scale Systems

    A.C. Antoulas;D.C. Sorensen;S. Gugercin

  • Solving Linear Systems on Vector and: Shared Memory Computers

    Jack J. Dongarra;Iain S. Duff;Danny C. Sorensen;Henk Van Der Vorst

  • Newton's method with a model trust region modification

    D. C. Sorensen

  • Numerical linear algebra for high-performance computers

    Jack J. Dongarra;Lain S. Duff;Danny C. Sorensen;Henk A. Vander Vorst

  • Rank-one modification of the symmetric eigenproblem

    James R. Bunch;Christopher P. Nielsen;Danny C. Sorensen

  • LAPACK: a portable linear algebra library for high-performance computers

    E. Anderson;Z. Bai;J. Dongarra;A. Greenbaum

  • LAPACK Users' Guide, 3rd ed.

    Ed Anderson;Zhaojun Bai;Christian Bischof;Susan Blackford

  • Approximation of large-scale dynamical systems: an overview

    Athanasios C. Antoulas;Dan C. Sorensen

  • A fully parallel algorithm for the symmetric eigenvalue problem

    J. J. Dongarra;D. C. Sorensen

  • AN IMPLICITLY RESTARTED LANCZOS METHOD FOR LARGE SYMMETRIC EIGENVALUE PROBLEMS

    D. Calvetti;L. Reichel;D. C. Sorensen

  • The ground state correlation energy of the random phase approximation from a ring coupled cluster doubles approach.

    Gustavo E. Scuseria;Thomas M. Henderson;Danny C. Sorensen

  • IMPLICITLY RESTARTED ARNOLDI/LANCZOS METHODS FOR LARGE SCALE EIGENVALUE CALCULATIONS

    Danny C. Sorensen

  • Dynamics of Proteins in Crystals: Comparison of Experiment with Simple Models

    Sibsankar Kundu;Julia S. Melton;Dan C. Sorensen;George N. Phillips

  • Krylov methods for the incompressible Navier-Stokes equations

    W. S. Edwards;L. S. Tuckerman;R. A. Friesner;D. C. Sorensen

  • Block reduction of matrices to condensed forms for eigenvalue computations

    Jack J. Dongarra;Danny C. Sorensen;Sven J. Hammarling

  • Numerical methods for large eigenvalue problems

    Danny C. Sorensen

  • Approximation of Large-Scale Dynamical Systems: An Overview

    A.C. Antoulas

Frequent Co-Authors

Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Athanasios C. Antoulas
Athanasios C. Antoulas Rice University
Iain S. Duff
Iain S. Duff Rutherford Appleton Laboratory
James Demmel
James Demmel University of California, Berkeley
Zhaojun Bai
Zhaojun Bai University of California, Davis
Roland Glowinski
Roland Glowinski University of Houston
Peter Benner
Peter Benner Max Planck Institute for Dynamics of Complex Technical Systems
Richard B. Lehoucq
Richard B. Lehoucq Sandia National Laboratories
Roger J.-B. Wets
Roger J.-B. Wets University of California, Davis

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