World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
46
Citations
12734
World Ranking
1326
National Ranking
597

Overview

Roland W. Freund is affiliated with the University of California, Davis, located in the United States. Their research spans multiple scientific disciplines with contributions documented across computer science, physics and astronomy, as well as engineering.

Their primary fields of study include:

  • Computer Science
  • Physics and Astronomy
  • Engineering

Within these broad fields, their work extends into specialized subfields such as:

  • Computational Theory and Mathematics
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

The main topics covered in their research involve:

  • Matrix Theory and Algorithms
  • Electromagnetic Scattering and Analysis
  • Low-power high-performance VLSI design

This indicates an interdisciplinary approach, bridging theoretical and applied aspects of science and engineering. The focus on matrix theory and algorithms suggests engagement with mathematical foundations critical in computational methods.

Simultaneously, work in electromagnetic scattering and analysis aligns with research in physics and electrical engineering, particularly in areas related to the interaction of electromagnetic waves with materials.

The interest in low-power high-performance VLSI design reflects contributions to advancing electronic circuit design with considerations of efficiency and performance, relevant to modern hardware engineering.

Best Publications

  • Efficient linear circuit analysis by Pade approximation via the Lanczos process

    P. Feldmann;R.W. Freund

  • QMR: a quasi-minimal residual method for non-Hermitian linear systems

    Roland W. Freund;Noël M. Nachtigal

  • A transpose-free quasi-minimal residual algorithm for non-Hermitian linear systems

    Roland W. Freund

  • Iterative solution of linear systems

    Roland W. Freund;Gene H. Golub;Noel M. Nachtigal

  • Krylov-subspace methods for reduced-order modeling in circuit simulation

    Roland W. Freund

  • Conjugate gradient-type methods for linear systems with complex symmetric coefficient matrices

    Roland W. Freund

  • An implementation of the look-ahead Lanczos algorithm for non-Hermitian matrices

    Roland W. Freund;Martin H. Gutknecht;Noël M. Nachtigal

  • Model reduction methods based on Krylov subspaces

    Roland W. Freund

  • An implementation of the QMR method based on coupled two-term recurrences

    Roland W. Freund;Noël M. Nachtigal

  • Reduced-Order Modeling of Large Linear Subcircuits via a Block Lanczos Algorithm

    P. Feldmann;R. W. Freund

  • SPRIM: structure-preserving reduced-order interconnect macromodeling

    R. W. Freund

  • Solving the Sum-of-Ratios Problem by an Interior-Point Method

    Roland W. Freund;Florian Jarre

  • A block QMR algorithm for non-Hermitian linear systems with multiple right-hand sides

    Roland W. Freund;Manish Malhotra

  • Reduced-Order Modeling Techniques Based on Krylov Subspaces and Their Use in Circuit Simulation

    Roland W. Freund

  • A new Krylov-subspace method for symmetric indefinite linear systems

    R.W. Freund;N.M. Nachtigal

  • Software for simplified Lanczos and QMR algorithms

    Roland W. Freund;Noël M. Nachtigal

  • Reduced-order modeling of large passive linear circuits by means of the SYPVL algorithm

    R. W. Freund;P. Feldmann

  • A Lanczos-type method for multiple starting vectors

    J. I. Aliaga;D. L. Boley;R. W. Freund;V. Hernández

  • On conjugate gradient type methods and polynomial preconditioners for a class of complex non-hermitian matrices

    Roland Freund

  • An extension of the positive real lemma to descriptor systems

    Roland W. Freund;Florian Jarre

Frequent Co-Authors

Zhaojun Bai
Zhaojun Bai University of California, Davis
Gene H. Golub
Gene H. Golub Stanford University
Tin Kam Ho
Tin Kam Ho IBM (United States)
Danny C. Sorensen
Danny C. Sorensen Rice University
Peter Benner
Peter Benner Max Planck Institute for Dynamics of Complex Technical Systems
Yousef Saad
Yousef Saad University of Minnesota
Peter Deuflhard
Peter Deuflhard Zuse Institute Berlin
Richard B. Lehoucq
Richard B. Lehoucq Sandia National Laboratories
Michele Benzi
Michele Benzi Scuola Normale Superiore di Pisa
Howard C. Elman
Howard C. Elman University of Maryland, College Park

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