Yousef Saad

Orcid: 0000-0002-8614-5360

Affiliations:
  • University of Minnesota, USA


According to our database1, Yousef Saad authored at least 201 papers between 1974 and 2024.

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Bibliography

2024
A rational-Chebyshev projection method for nonlinear eigenvalue problems.
Numer. Linear Algebra Appl., December, 2024

nlTGCR: A Class of Nonlinear Acceleration Procedures Based on Conjugate Residuals.
SIAM J. Matrix Anal. Appl., March, 2024

A Parallel Algorithm for Computing Partial Spectral Factorizations of Matrix Pencils via Chebyshev Approximation.
SIAM J. Sci. Comput., 2024

Anderson Acceleration with Truncated Gram-Schmidt.
SIAM J. Matrix Anal. Appl., 2024

Joint Approximate Partial Diagonalization of Large Matrices.
CoRR, 2024

Randomized linear solvers for computational architectures with straggling workers.
CoRR, 2024

2023
Revisiting the (block) Jacobi subspace rotation method for the symmetric eigenvalue problem.
Numer. Algorithms, January, 2023

Gradient-type subspace iteration methods for the symmetric eigenvalue problem.
CoRR, 2023

On the tubular eigenvalues of third-order tensors.
CoRR, 2023

2022
Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at the SC19 conference.
Dataset, May, 2022

parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices.
Parallel Comput., 2022

A Non-perturbative Approach to Computing Seismic Normal Modes in Rotating Planets.
J. Sci. Comput., 2022

The Origin and Development of Krylov Subspace Methods.
Comput. Sci. Eng., 2022

An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian.
CoRR, 2022

GDA-AM: On the Effectiveness of Solving Min-Imax Optimization via Anderson Mixing.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility.
IEEE Trans. Parallel Distributed Syst., 2021

A Power Schur Complement Low-Rank Correction Preconditioner for General Sparse Linear Systems.
SIAM J. Matrix Anal. Appl., 2021

Proxy-GMRES: Preconditioning via GMRES in Polynomial Space.
SIAM J. Matrix Anal. Appl., 2021

Solve Minimax Optimization by Anderson Acceleration.
CoRR, 2021

Graph coarsening: From scientific computing to machine learning.
CoRR, 2021

2020
Solving the Three-Dimensional High-frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning.
SIAM J. Matrix Anal. Appl., 2020

Multicolor low-rank preconditioner for general sparse linear systems.
Numer. Linear Algebra Appl., 2020

Shanks and Anderson-type acceleration techniques for systems of nonlinear equations.
CoRR, 2020

Spectrum-Adapted Polynomial Approximation for Matrix Functions with Applications in Graph Signal Processing.
Algorithms, 2020

Iterative methods for linear systems of equations: A brief historical journey.
Proceedings of the 75 Years of Mathematics of Computation, 2020

2019
The Eigenvalues Slicing Library (EVSL): Algorithms, Implementation, and Software.
SIAM J. Sci. Comput., 2019

Sampling and multilevel coarsening algorithms for fast matrix approximations.
Numer. Linear Algebra Appl., 2019

A rational approximation method for solving acoustic nonlinear eigenvalue problems.
CoRR, 2019

Find the dimension that counts: Fast dimension estimation and Krylov PCA.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Spectrum-adapted Polynomial Approximation for Matrix Functions.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Phase Retrieval via Reweighted Amplitude Flow.
IEEE Trans. Signal Process., 2018

Fast Computation of Spectral Densities for Generalized Eigenvalue Problems.
SIAM J. Sci. Comput., 2018

Beyond Automated Multilevel Substructuring: Domain Decomposition with Rational Filtering.
SIAM J. Sci. Comput., 2018

A Hierarchical Low Rank Schur Complement Preconditioner for Indefinite Linear Systems.
SIAM J. Sci. Comput., 2018

Shanks Sequence Transformations and Anderson Acceleration.
SIAM Rev., 2018

A scalable iterative dense linear system solver for multiple right-hand sides in data analytics.
Parallel Comput., 2018

Domain decomposition approaches for accelerating contour integration eigenvalue solvers for symmetric eigenvalue problems.
Numer. Linear Algebra Appl., 2018

A posteriori error estimate for computing tr(f(A)) by using the Lanczos method.
Numer. Linear Algebra Appl., 2018

SMASH: Structured matrix approximation by separation and hierarchy.
Numer. Linear Algebra Appl., 2018

Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver.
Proceedings of the International Conference for High Performance Computing, 2018

2017
Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes.
IEEE Trans. Inf. Theory, 2017

A Rational Function Preconditioner For Indefinite Sparse Linear Systems.
SIAM J. Sci. Comput., 2017

Fast Estimation of tr(f(A)) via Stochastic Lanczos Quadrature.
SIAM J. Matrix Anal. Appl., 2017

Low-Rank Correction Methods for Algebraic Domain Decomposition Preconditioners.
SIAM J. Matrix Anal. Appl., 2017

Fast Estimation of Approximate Matrix Ranks Using Spectral Densities.
Neural Comput., 2017

Improving the Incoherence of a Learned Dictionary via Rank Shrinkage.
Neural Comput., 2017

Cucheb: A GPU implementation of the filtered Lanczos procedure.
Comput. Phys. Commun., 2017

Solving Almost all Systems of Random Quadratic Equations.
CoRR, 2017

Low-rank Label Propagation for Semi-supervised Learning with 100 Millions Samples.
CoRR, 2017

Solving Most Systems of Random Quadratic Equations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Applications of Trace Estimation Techniques.
Proceedings of the High Performance Computing in Science and Engineering, 2017

2016
Computing Partial Spectra with Least-Squares Rational Filters.
SIAM J. Sci. Comput., 2016

A Thick-Restart Lanczos Algorithm with Polynomial Filtering for Hermitian Eigenvalue Problems.
SIAM J. Sci. Comput., 2016

Approximating Spectral Densities of Large Matrices.
SIAM Rev., 2016

An Algebraic Multilevel Preconditioner with Low-Rank Corrections for Sparse Symmetric Matrices.
SIAM J. Matrix Anal. Appl., 2016

Analysis of Subspace Iteration for Eigenvalue Problems with Evolving Matrices.
SIAM J. Matrix Anal. Appl., 2016

Efficient estimation of eigenvalue counts in an interval.
Numer. Linear Algebra Appl., 2016

Schur complement-based domain decomposition preconditioners with low-rank corrections.
Numer. Linear Algebra Appl., 2016

PFEAST: a high performance sparse eigenvalue solver using distributed-memory linear solvers.
Proceedings of the International Conference for High Performance Computing, 2016

Fast methods for estimating the Numerical rank of large matrices.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Matrix Reordering Using Multilevel Graph Coarsening for ILU Preconditioning.
SIAM J. Sci. Comput., 2015

Spectral recycling strategies for the solution of nonlinear eigenproblems in thermoacoustics.
Numer. Linear Algebra Appl., 2015

Low Rank Approximation using Error Correcting Coding Matrices.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Graph Partitioning Using Matrix Values for Preconditioning Symmetric Positive Definite Systems.
SIAM J. Sci. Comput., 2014

Preconditioned Krylov Subspace Methods for Sampling Multivariate Gaussian Distributions.
SIAM J. Sci. Comput., 2014

Fast Updating Algorithms for Latent Semantic Indexing.
SIAM J. Matrix Anal. Appl., 2014

Parallel matrix algorithms.
Parallel Comput., 2014

Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition.
Neural Comput., 2014

Chebyshev-filtered subspace iteration method free of sparse diagonalization for solving the Kohn-Sham equation.
J. Comput. Phys., 2014

2013
GPU-accelerated preconditioned iterative linear solvers.
J. Supercomput., 2013

Divide and Conquer Low-Rank Preconditioners for Symmetric Matrices.
SIAM J. Sci. Comput., 2013

2012
Dense Subgraph Extraction with Application to Community Detection.
IEEE Trans. Knowl. Data Eng., 2012

Modification and Compensation Strategies for Threshold-based Incomplete Factorizations.
SIAM J. Sci. Comput., 2012

A Filtered Lanczos Procedure for Extreme and Interior Eigenvalue Problems.
SIAM J. Sci. Comput., 2012

The Trace Ratio Optimization Problem.
SIAM Rev., 2012

A probing method for computing the diagonal of a matrix inverse.
Numer. Linear Algebra Appl., 2012

A spectrum slicing method for the Kohn-Sham problem.
Comput. Phys. Commun., 2012

Quantum algorithms for predicting the properties of complex materials.
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment, 2012

Scaled Gradients on Grassmann Manifolds for Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Parallel Numerical Computing from Illiac IV to Exascale - The Contributions of Ahmed H. Sameh.
Proceedings of the High-Performance Scientific Computing - Algorithms and Applications., 2012

2011
Domain-Decomposition-Type Methods for Computing the Diagonal of a Matrix Inverse.
SIAM J. Sci. Comput., 2011

Computing f(A)b via Least Squares Polynomial Approximations.
SIAM J. Sci. Comput., 2011

Special issue on Parallel Matrix Algorithms and Applications (PMAA'10).
Parallel Comput., 2011

Trace optimization and eigenproblems in dimension reduction methods.
Numer. Linear Algebra Appl., 2011

Rational approximation to the Fermi-Dirac function with applications in density functional theory.
Numer. Algorithms, 2011

2010
Numerical Methods for Electronic Structure Calculations of Materials.
SIAM Rev., 2010

Further Analysis of the Arnoldi Process for Eigenvalue Problems.
SIAM J. Numer. Anal., 2010

The Trace Ratio Optimization Problem for Dimensionality Reduction.
SIAM J. Matrix Anal. Appl., 2010

Special issue on Parallel Matrix Algorithms and Applications.
Parallel Comput., 2010

Incremental incomplete LU factorizations with applications.
Numer. Linear Algebra Appl., 2010

Multilevel manifold learning with application to spectral clustering.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Hypergraph-based multilevel matrix approximation for text information retrieval.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction.
IEEE Trans. Knowl. Data Eng., 2009

Enhanced graph-based dimensionality reduction with repulsion Laplaceans.
Pattern Recognit., 2009

Two classes of multisecant methods for nonlinear acceleration.
Numer. Linear Algebra Appl., 2009

Fast Approximate <i>k</i>NN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection.
J. Mach. Learn. Res., 2009

Divide and Conquer Strategies for Effective Information Retrieval.
Proceedings of the SIAM International Conference on Data Mining, 2009

2008
On the Tensor SVD and the Optimal Low Rank Orthogonal Approximation of Tensors.
SIAM J. Matrix Anal. Appl., 2008

Computation of Large Invariant Subspaces Using Polynomial Filtered Lanczos Iterations with Applications in Density Functional Theory.
SIAM J. Matrix Anal. Appl., 2008

Block Krylov-Schur method for large symmetric eigenvalue problems.
Numer. Algorithms, 2008

Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Farthest Centroids Divisive Clustering.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Greedy Coarsening Strategies for Nonsymmetric Problems.
SIAM J. Sci. Comput., 2007

A Greedy Strategy for Coarse-Grid Selection.
SIAM J. Sci. Comput., 2007

A Chebyshev-Davidson Algorithm for Large Symmetric Eigenproblems.
SIAM J. Matrix Anal. Appl., 2007

Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Linear system solution by null-space approximation and projection (SNAP).
Numer. Linear Algebra Appl., 2007

Algorithms for the evolution of electronic properties in nanocrystals.
Comput. Phys. Commun., 2007

Efficient first-principles calculations of the electronic structure of periodic systems.
Comput. Phys. Commun., 2007

Component-based iterative methods for sparse linear systems.
Concurr. Comput. Pract. Exp., 2007

Higher Order Orthogonal Iteration of Tensors (HOOI) and its Relation to PCA and GLRAM.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

2006
SchurRAS: A Restricted Version of the Overlapping Schur Complement Preconditioner.
SIAM J. Sci. Comput., 2006

A Parallel Multistage ILU Factorization Based on a Hierarchical Graph Decomposition.
SIAM J. Sci. Comput., 2006

Multilevel Preconditioners Constructed From Inverse-Based ILUs.
SIAM J. Sci. Comput., 2006

Filtered Conjugate Residual-type Algorithms with Applications.
SIAM J. Matrix Anal. Appl., 2006

MIQR: A Multilevel Incomplete QR Preconditioner for Large Sparse Least-Squares Problems.
SIAM J. Matrix Anal. Appl., 2006

Self-consistent-field calculations using Chebyshev-filtered subspace iteration.
J. Comput. Phys., 2006

Topic 10: Parallel Numerical Algorithms.
Proceedings of the Euro-Par 2006, Parallel Processing, 12th International Euro-Par Conference, Dresden, Germany, August 28, 2006

2005
Multilevel ILU With Reorderings for Diagonal Dominance.
SIAM J. Sci. Comput., 2005

Computation of Smallest Eigenvalues using Spectral Schur Complements.
SIAM J. Sci. Comput., 2005

Efficient computation of the coupling matrix in time-dependent density functional theory.
Comput. Phys. Commun., 2005

Computing charge densities with partially reorthogonalized Lanczos.
Comput. Phys. Commun., 2005

PCA without eigenvalue calculations: a case study on face recognition.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Face recognition using OPRA-faces.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Orthogonal Neighborhood Preserving Projections.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Preconditioning techniques for the solution of the Helmholtz equation by the finite element method.
Math. Comput. Simul., 2004

Using the parallel algebraic recursive multilevel solver in modern physical applications.
Future Gener. Comput. Syst., 2004

Polynomial filtering in latent semantic indexing for information retrieval.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Applying Parallel Direct Solver Techniques to Build Robust High Performance Preconditioners.
Proceedings of the Applied Parallel Computing, 2004

2003
Finding Exact and Approximate Block Structures for ILU Preconditioning.
SIAM J. Sci. Comput., 2003

Block LU Preconditioners for Symmetric and Nonsymmetric Saddle Point Problems.
SIAM J. Sci. Comput., 2003

Crout Versions of ILU for General Sparse Matrices.
SIAM J. Sci. Comput., 2003

Parallel Matrix Algorithms and Applications (PMAA '02).
Parallel Comput., 2003

pARMS: a parallel version of the algebraic recursive multilevel solver.
Numer. Linear Algebra Appl., 2003

Block Preconditioners for Saddle Point Problems.
Numer. Algorithms, 2003

Preconditionning Techniques for the Solution of the Helmholtz Equation by the Finite Element Method.
Proceedings of the Computational Science and Its Applications, 2003

Iterative methods for sparse linear systems.
SIAM, ISBN: 978-0-89871-534-7, 2003

2002
A Factored Approximate Inverse Preconditioner with Pivoting.
SIAM J. Matrix Anal. Appl., 2002

On the Relations between ILUs and Factored Approximate Inverses.
SIAM J. Matrix Anal. Appl., 2002

ARMS: an algebraic recursive multilevel solver for general sparse linear systems.
Numer. Linear Algebra Appl., 2002

Parallel Iterative Methods in Modern Physical Applications.
Proceedings of the Computational Science - ICCS 2002, 2002

2001
Parallelism in algebraic recursive solvers.
Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing, 2001

pARMS: A Package for Solving General Sparse Linear Systems on Parallel Computers.
Proceedings of the Parallel Processing and Applied Mathematics, 2001

2000
A Deflated Version of the Conjugate Gradient Algorithm.
SIAM J. Sci. Comput., 2000

Preconditioning strategies for linear systems arising in tire design.
Numer. Linear Algebra Appl., 2000

Editorial.
Numer. Linear Algebra Appl., 2000

Further analysis of minimum residual iterations.
Numer. Linear Algebra Appl., 2000

Parallel methods and tools for predicting material properties.
Comput. Sci. Eng., 2000

An Introduction to Iterative Projection Methods.
Proceedings of the Templates for the Solution of Algebraic Eigenvalue Problems, 2000

Non-Hermitian Eigenvalue Problems.
Proceedings of the Templates for the Solution of Algebraic Eigenvalue Problems, 2000

1999
BILUM: Block Versions of Multielimination and Multilevel ILU Preconditioner for General Sparse Linear Systems.
SIAM J. Sci. Comput., 1999

Distributed Schur Complement Techniques for General Sparse Linear Systems.
SIAM J. Sci. Comput., 1999

BILUTM: A Domain-Based Multilevel Block ILUT Preconditioner for General Sparse Matrices.
SIAM J. Matrix Anal. Appl., 1999

Diagonal threshold techniques in robust multi-level ILU preconditioners for general sparse linear systems.
Numer. Linear Algebra Appl., 1999

Use of PSPARSLIB for Solving Three-Dimensional Free Surface Flows.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

Enhanced Parallel Multicolor Preconditioning Techniques for Linear Systems.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

Parallel Solution of Equations for the Electronic Structure of Matter.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

Parallel Finite Element Calculations Using PSPARSLIB.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

Non-standard Parallel Solution Strategies for Distributed Sparse Linear Systems.
Proceedings of the Parallel Computation, 1999

1998
Dynamic Thick Restarting of the Davidson, and the Implicitly Restarted Arnoldi Methods.
SIAM J. Sci. Comput., 1998

Approximate Inverse Preconditioners via Sparse-Sparse Iterations.
SIAM J. Sci. Comput., 1998

Preserving Symmetry in Preconditioned Krylov Subspace Methods.
SIAM J. Sci. Comput., 1998

Preconditioning the Matrix Exponential Operator with Applications.
J. Sci. Comput., 1998

Solution of Distributed Sparse Linear Systems Using PSPARSLIB.
Proceedings of the Applied Parallel Computing, 1998

1997
Analysis of Augmented Krylov Subspace Methods.
SIAM J. Matrix Anal. Appl., April, 1997

Approximate Inverse Techniques for Block-Partitioned Matrices.
SIAM J. Sci. Comput., 1997

Deflated and Augmented Krylov Subspace Techniques.
Numer. Linear Algebra Appl., 1997

Parallel Solution of Eigenvalue Problems in Electronic Structure Calculations.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

PSPARSLIB: A Portable Library of Parallel Sparse Iterative Solvers.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

Parallel Approximate Inverse Preconditioners.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

Tensor Sum Approximation Preconditioners.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

1996
ILUM: A Multi-Elimination ILU Preconditioner for General Sparse Matrices.
SIAM J. Sci. Comput., 1996

DQGMRES: a Direct Quasi-minimal Residual Algorithm Based on Incomplete Orthogonalization.
Numer. Linear Algebra Appl., 1996

Overlapping Domain Decomposition Algorithms for General Sparse Matrices.
Numer. Linear Algebra Appl., 1996

1995
Data Structures, Computational, and Communication Kernels for Distributed Memory Sparse Iterative Solvers.
Proceedings of the Parallel Computing Technologies, 1995

1994
Convergence Theory of Nonlinear Newton-Krylov Algorithms.
SIAM J. Optim., 1994

ILUT: A dual threshold incomplete LU factorization.
Numer. Linear Algebra Appl., 1994

1993
A Flexible Inner-Outer Preconditioned GMRES Algorithm.
SIAM J. Sci. Comput., 1993

Performance of the CM-5 and Message Passing Primitives.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993

Sparse Matrix Computations on the CM-5.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993

Graph Decomposition Techniques for General Sparse Matrices.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993

1992
Efficient Solution of Parabolic Equations by Krylov Approximation Methods.
SIAM J. Sci. Comput., 1992

Numerical Methods in Markov Chain Modeling.
Oper. Res., 1992

1990
Hybrid Krylov Methods for Nonlinear Systems of Equations.
SIAM J. Sci. Comput., 1990

SPARK: a benchmark package for sparse computations.
Proceedings of the 4th international conference on Supercomputing, 1990

1989
Data communication in parallel architectures.
Parallel Comput., 1989

A parallel block cyclic reduction algorithm for the fast solution of elliptic equations.
Parallel Comput., 1989

Data Communication in Hypercubes.
J. Parallel Distributed Comput., 1989

Some Fast Elliptic Solvers on Parallel Architectures and their Complexities.
Int. J. High Speed Comput., 1989

Solving Sparse Triangular Linear Systems on Parallel Computers.
Int. J. High Speed Comput., 1989

Performance Study of Some Supercomputers Using a Sparse Matrix Benchmark.
Proceedings of the Fourth SIAM Conference on Parallel Processing for Scientific Computing, 1989

Efficient Parallel Solutions of Parabolic Equations: Explicit Methods.
Proceedings of the Fourth SIAM Conference on Parallel Processing for Scientific Computing, 1989

Efficient Parallel Solution of Parabolic Equations: Implicit Methods on the Cedar Multicluster.
Proceedings of the Fourth SIAM Conference on Parallel Processing for Scientific Computing, 1989

On the parallel solution of parabolic equations.
Proceedings of the 3rd international conference on Supercomputing, 1989

1988
Topological properties of hypercubes.
IEEE Trans. Computers, 1988

A benchmark package for sparse matrix computations.
Proceedings of the 2nd international conference on Supercomputing, 1988

1987
Parallel Rapid Elliptic Solvers.
Proceedings of the Third SIAM Conference on Parallel Processing for Scientific Computing, 1987

Preconditioned Conjugate Gradient Methods for General Sparse Matrices on Shared Memory Machines.
Proceedings of the Third SIAM Conference on Parallel Processing for Scientific Computing, 1987

1986
Multigrid Algorithms on the Hypercube Multiprocessor.
IEEE Trans. Computers, 1986

1974
Calcul de valeurs propres de grandes matrices hermitiennes par des techniques de partitionnement.
PhD thesis, 1974

Shifts of Origin for the QR Algorithm.
Proceedings of the Information Processing, 1974


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