World's Best Scientists 2026 revealed!
Bo Kågström

Bo Kågström

D-Index & Metrics

Computer Science

D-Index
31
Citations
4148
World Ranking
13656
National Ranking
105

Mathematics

D-Index
32
Citations
4372
World Ranking
3191
National Ranking
24

Overview

Bo Kågström is affiliated with Umeå University in Sweden. Their professional focus and contributions are centered within this academic environment.

There is no publicly available information about specific recent papers authored by Bo Kågström, nor any recorded frequent co-authors or recurring publication venues linked to their work. Likewise, specific book publications, main fields or subfields of study, and primary research topics have not been documented in accessible records.

Details regarding awards or honors received by Bo Kågström have not been identified. The absence of this data suggests a limited public footprint in widely indexed academic databases.

This profile reflects the current publicly available information without extrapolations beyond confirmed facts related to Bo Kågström's academic activity at Umeå University.

Best Publications

  • GEMM-based level 3 BLAS: high-performance model implementations and performance evaluation benchmark

    Bo Kågström;Per Ling;Charles van Loan

  • The generalized Schur decomposition of an arbitrary pencil A–lB—robust software with error bounds and applications. Part I: theory and algorithms

    James Demmel;Bo Kågström

  • Recursive Blocked Algorithms and Hybrid Data Structures for Dense Matrix Library Software

    Erik Elmroth;Fred G. Gustavson;Isak Jonsson;Bo Kågström

  • A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part I: Versal Deformations

    Alan Edelman;Erik Elmroth;Bo Kågström

  • Recursive blocked algorithms for solving triangular systems—Part I: one-sided and coupled Sylvester-type matrix equations

    Isak Jonsson;Bo Kågström

  • The generalized Schur decomposition of an arbitrary pencil A–lB—robust software with error bounds and applications. Part II: software and applications

    James Demmel;Bo Kågström

  • Generalized Schur methods with condition estimators for solving the generalized Sylvester equation

    B. Kagstrom;L. Westin

  • An Algorithm for Numerical Computation of the Jordan Normal Form of a Complex Matrix

    Bo Kågström;Axel Ruhe

  • Computing Stable Eigendecompositions of Matrix Pencils

    James Weldon Demmel;Bo Kågström

  • A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part II: A Stratification-Enhanced Staircase Algorithm

    Alan Edelman;Erik Elmroth;Bo KÅgström

  • Recursive blocked algorithms for solving triangular systems—Part II: two-sided and generalized Sylvester and Lyapunov matrix equations

    Isak Jonsson;Bo Kågström

  • Recursive Blocked Data Formats and BLAS's for Dense Linear Algebra Algorithms

    Fred G. Gustavson;André Henriksson;Isak Jonsson;Bo Kågström

  • Bounds and perturbation bounds for the matrix exponential

    Bo Kågström

  • Computing eigenspaces with specified eigenvalues of a regular matrix pair (A, B) and condition estimation: theory, algorithms and software

    Bo Kågström;Peter Poromaa

  • A Perturbation Analysis of the Generalized Sylvester Equation $(AR - LB, DR - LE) = (C, F)$

    Bo Kagstrom

  • Parallel and Cache-Efficient In-Place Matrix Storage Format Conversion

    Fred Gustavson;Lars Karlsson;Bo Kågström

  • LAPACK-style algorithms and software for solving the generalized Sylvester equation and estimating the separation between regular matrix pairs

    Bo Kågström;Peter Poromaa

  • A generalized state-space approach for the additive decomposition of a transfer matrix

    B. Kagstrom;Paul Van Dooren

  • Coupled Sylvester-type Matrix Equations and Block Diagonalization

    Andrii Dmytryshyn;Bo Kågström

  • Accurate solutions of ill-posed problems in control theory

    James Demmel;Bo Kågström

  • Applied Parallel Computing. State of the Art in Scientific Computing, 8th International Workshop, PARA 2006, Umeå, Sweden, June 18-21, 2006, Revised Selected Papers

    Bo Kågström;Erik Elmroth;Jack Dongarra;Jerzy Wasniewski

Frequent Co-Authors

Erik Elmroth
Erik Elmroth Umeå University
Daniel Kressner
Daniel Kressner École Polytechnique Fédérale de Lausanne
Fred G. Gustavson
Fred G. Gustavson Umeå University
James Demmel
James Demmel University of California, Berkeley
Paul Van Dooren
Paul Van Dooren Université Catholique de Louvain
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Uwe Sauer
Uwe Sauer ETH Zurich
Anton S. Shiriaev
Anton S. Shiriaev Norwegian University of Science and Technology
Gene H. Golub
Gene H. Golub Stanford University

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