Yuji Nakatsukasa

According to our database, Yuji Nakatsukasa authored at least 81 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Speeding Up Krylov Subspace Methods for Computing \(\boldsymbol{{f}(A){b}}\) via Randomization.

Alice Cortinovis, Daniel Kressner, Yuji Nakatsukasa

SIAM J. Matrix Anal. Appl., March, 2024

AAA Rational Approximation on a Continuum.

Tobin A. Driscoll, Yuji Nakatsukasa, Lloyd N. Trefethen

SIAM J. Sci. Comput., 2024

Fast and Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems.

Yuji Nakatsukasa, Joel A. Tropp

SIAM J. Matrix Anal. Appl., 2024

Are Sketch-and-Precondition Least Squares Solvers Numerically Stable?

Maike Meier, Yuji Nakatsukasa, Alex Townsend, Marcus Webb

SIAM J. Matrix Anal. Appl., 2024

Efficient Bounds and Estimates for Canonical Angles in Randomized Subspace Approximations.

Yijun Dong, Per-Gunnar Martinsson, Yuji Nakatsukasa

SIAM J. Matrix Anal. Appl., 2024

Polynomial approximation of noisy functions.

Takeru Matsuda, Yuji Nakatsukasa

CoRR, 2024

Matrix perturbation analysis of methods for extracting singular values from approximate singular subspaces.

Lorenzo Lazzarino, Hussam Al Daas, Yuji Nakatsukasa

CoRR, 2024

Low-rank approximation of parameter-dependent matrices via CUR decomposition.

Taejun Park, Yuji Nakatsukasa

CoRR, 2024

A Sherman-Morrison-Woodbury approach to solving least squares problems with low-rank updates.

Stefan Güttel, Yuji Nakatsukasa, Marcus Webb, Alban Bloor Riley

CoRR, 2024

Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers.

Ethan N. Epperly, Maike Meier, Yuji Nakatsukasa

CoRR, 2024

Accuracy and Stability of CUR decompositions with Oversampling.

Taejun Park, Yuji Nakatsukasa

CoRR, 2024

A Cholesky QR type algorithm for computing tall-skinny QR factorization with column pivoting.

Takeshi Fukaya, Yuji Nakatsukasa, Yusaku Yamamoto

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Randomized Low-Rank Approximation for Symmetric Indefinite Matrices.

Yuji Nakatsukasa, Taejun Park

SIAM J. Matrix Anal. Appl., September, 2023

A Structure-Preserving Divide-and-Conquer Method for Pseudosymmetric Matrices.

Peter Benner, Yuji Nakatsukasa, Carolin Penke

SIAM J. Matrix Anal. Appl., September, 2023

The first five years of the AAA algorithm.

Yuji Nakatsukasa, Olivier Sète, Lloyd N. Trefethen

CoRR, 2023

RTSMS: Randomized Tucker with single-mode sketching.

Behnam Hashemi, Yuji Nakatsukasa

CoRR, 2023

Approximating Sparse Matrices and their Functions using Matrix-vector products.

Taejun Park, Yuji Nakatsukasa

CoRR, 2023

AAA rational approximation on a continuum.

Toby Driscoll, Yuji Nakatsukasa, Lloyd N. Trefethen

CoRR, 2023

Convergence and Near-optimal Sampling for Multivariate Function Approximations in Irregular Domains via Vandermonde with Arnoldi.

Wenqi Zhu, Yuji Nakatsukasa

CoRR, 2023

High-Performance SVD Partial Spectrum Computation.

David E. Keyes, Hatem Ltaief, Yuji Nakatsukasa, Dalal Sukkari

Proceedings of the International Conference for High Performance Computing, 2023

2022

Least-Squares Spectral Methods for ODE Eigenvalue Problems.

Behnam Hashemi, Yuji Nakatsukasa

SIAM J. Sci. Comput., October, 2022

A Theory of Quantum Subspace Diagonalization.

Ethan N. Epperly, Lin Lin, Yuji Nakatsukasa

SIAM J. Matrix Anal. Appl., September, 2022

Twice Is Enough for Dangerous Eigenvalues.

Andrew Horning, Yuji Nakatsukasa

SIAM J. Matrix Anal. Appl., 2022

Stable and Efficient Computation of Generalized Polar Decompositions.

Peter Benner, Yuji Nakatsukasa, Carolin Penke

SIAM J. Matrix Anal. Appl., 2022

An active-set algorithm for norm constrained quadratic problems.

Nikitas Rontsis, Paul J. Goulart, Yuji Nakatsukasa

Math. Program., 2022

Efficient Semidefinite Programming with Approximate ADMM.

Nikitas Rontsis, Paul Goulart, Yuji Nakatsukasa

J. Optim. Theory Appl., 2022

Speeding up Krylov subspace methods for computing f(A)b via randomization.

Alice Cortinovis, Daniel Kressner, Yuji Nakatsukasa

CoRR, 2022

A Fast Randomized Algorithm for computing the Null Space.

Yuji Nakatsukasa, Taejun Park

CoRR, 2022

Randomized algorithms for Tikhonov regularization in linear least squares.

Maike Meier, Yuji Nakatsukasa

CoRR, 2022

Stochastic diagonal estimation: probabilistic bounds and an improved algorithm.

Robert A. Baston, Yuji Nakatsukasa

CoRR, 2022

Rectangular eigenvalue problems.

Behnam Hashemi, Yuji Nakatsukasa, Lloyd N. Trefethen

Adv. Comput. Math., 2022

2021

Vandermonde with Arnoldi.

Pablo D. Brubeck, Yuji Nakatsukasa, Lloyd N. Trefethen

SIAM Rev., 2021

Reciprocal-Log Approximation and Planar PDE Solvers.

Yuji Nakatsukasa, Lloyd N. Trefethen

SIAM J. Numer. Anal., 2021

Error Localization of Best L₁ Polynomial Approximants.

Yuji Nakatsukasa, Alex Townsend

SIAM J. Numer. Anal., 2021

Exponential node clustering at singularities for rational approximation, quadrature, and PDEs.

Lloyd N. Trefethen, Yuji Nakatsukasa, J. A. C. Weideman

Numerische Mathematik, 2021

Approximating the pth root by composite rational functions.

Evan S. Gawlik, Yuji Nakatsukasa

J. Approx. Theory, 2021

Fast & Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems.

Yuji Nakatsukasa, Joel A. Tropp

CoRR, 2021

Full operator preconditioning and the accuracy of solving linear systems.

Stephan Mohr, Yuji Nakatsukasa, Carolina Urzúa-Torres

CoRR, 2021

Fast randomized numerical rank estimation.

Maike Meier, Yuji Nakatsukasa

CoRR, 2021

High-Performance Partial Spectrum Computation for Symmetric eigenvalue problems and the SVD.

David E. Keyes, Hatem Ltaief, Yuji Nakatsukasa, Dalal Sukkari

CoRR, 2021

2020

Fast Graph Sampling Set Selection Using Gershgorin Disc Alignment.

Yuanchao Bai, Fen Wang, Gene Cheung, Yuji Nakatsukasa, Wen Gao

IEEE Trans. Signal Process., 2020

An Algorithm for Real and Complex Rational Minimax Approximation.

Yuji Nakatsukasa, Lloyd N. Trefethen

SIAM J. Sci. Comput., 2020

Shifted Cholesky QR for Computing the QR Factorization of Ill-Conditioned Matrices.

Takeshi Fukaya, Ramaseshan Kannan, Yuji Nakatsukasa, Yusaku Yamamoto, Yuka Yanagisawa

SIAM J. Sci. Comput., 2020

Sharp error bounds for Ritz vectors and approximate singular vectors.

Yuji Nakatsukasa

Math. Comput., 2020

Zolotarev's fifth and sixth problems.

Evan S. Gawlik, Yuji Nakatsukasa

CoRR, 2020

Fast and stable randomized low-rank matrix approximation.

Yuji Nakatsukasa

CoRR, 2020

Solving two-parameter eigenvalue problems using an alternating method.

Henrik Eisenmann, Yuji Nakatsukasa

CoRR, 2020

Rational neural networks.

Nicolas Boullé, Yuji Nakatsukasa, Alex Townsend

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Massively Parallel Polar Decomposition on Distributed-memory Systems.

Hatem Ltaief, Dalal Sukkari, Aniello Esposito, Yuji Nakatsukasa, David E. Keyes

ACM Trans. Parallel Comput., 2019

Eigenvalue-based algorithm and analysis for nonconvex QCQP with one constraint.

Satoru Adachi, Yuji Nakatsukasa

Math. Program., 2019

Weighted Monte Carlo with least squares and randomized extended Kaczmarz for option pricing.

Damir Filipovic, Kathrin Glau, Yuji Nakatsukasa, Francesco Statti

CoRR, 2019

Classification of chaotic time series with deep learning.

Nicolas Boullé, Vassilios Dallas, Yuji Nakatsukasa, D. Samaddar

CoRR, 2019

Accuracy of approximate projection to the semidefinite cone.

Paul J. Goulart, Yuji Nakatsukasa, Nikitas Rontsis

CoRR, 2019

2018

The AAA Algorithm for Rational Approximation.

Yuji Nakatsukasa, Olivier Sète, Lloyd N. Trefethen

SIAM J. Sci. Comput., 2018

Fourth-Order Time-Stepping For Stiff PDEs On The Sphere.

Hadrien Montanelli, Yuji Nakatsukasa

SIAM J. Sci. Comput., 2018

Rational Minimax Approximation via Adaptive Barycentric Representations.

Silviu-Ioan Filip, Yuji Nakatsukasa, Lloyd N. Trefethen, Bernhard Beckermann

SIAM J. Sci. Comput., 2018

Reduction of Matrix Polynomials to Simpler Forms.

Yuji Nakatsukasa, Leo Taslaman, Françoise Tisseur, Ion Zaballa

SIAM J. Matrix Anal. Appl., 2018

On Orthogonal Tensors and Best Rank-One Approximation Ratio.

Zhening Li, Yuji Nakatsukasa, Tasuku Soma, André Uschmajew

SIAM J. Matrix Anal. Appl., 2018

A Backward Stable Algorithm for Computing the CS Decomposition via the Polar Decomposition.

Evan S. Gawlik, Yuji Nakatsukasa, Brian D. Sutton

SIAM J. Matrix Anal. Appl., 2018

Stable polefinding and rational least-squares fitting via eigenvalues.

Shinji Ito, Yuji Nakatsukasa

Numerische Mathematik, 2018

2017

Vector Spaces of Linearizations for Matrix Polynomials: A Bivariate Polynomial Approach.

Yuji Nakatsukasa, Vanni Noferini, Alex Townsend

SIAM J. Matrix Anal. Appl., 2017

Solving the Trust-Region Subproblem By a Generalized Eigenvalue Problem.

Satoru Adachi, Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda

SIAM J. Optim., 2017

Finding a low-rank basis in a matrix subspace.

Yuji Nakatsukasa, Tasuku Soma, André Uschmajew

Math. Program., 2017

2016

Computing Fundamental Matrix Decompositions Accurately via the Matrix Sign Function in Two Iterations: The Power of Zolotarev's Functions.

Yuji Nakatsukasa, Roland W. Freund

SIAM Rev., 2016

Scaled and Squared Subdiagonal Padé Approximation for the Matrix Exponential.

Stefan Güttel, Yuji Nakatsukasa

SIAM J. Matrix Anal. Appl., 2016

Solving Generalized CDT Problems via Two-Parameter Eigenvalues.

Shinsaku Sakaue, Yuji Nakatsukasa, Akiko Takeda, Satoru Iwata

SIAM J. Optim., 2016

On the stability of computing polynomial roots via confederate linearizations.

Yuji Nakatsukasa, Vanni Noferini

Math. Comput., 2016

Roundoff error analysis of the CholeskyQR2 algorithm in an oblique inner product.

Yusaku Yamamoto, Yuji Nakatsukasa, Yuka Yanagisawa, Takeshi Fukaya

JSIAM Lett., 2016

2015

Computing the Signed Distance Between Overlapping Ellipsoids.

Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda

SIAM J. Optim., 2015

Computing the common zeros of two bivariate functions via Bézout resultants.

Yuji Nakatsukasa, Vanni Noferini, Alex Townsend

Numerische Mathematik, 2015

2014

A Logarithmic Minimization Property of the Unitary Polar Factor in the Spectral and Frobenius Norms.

Patrizio Neff, Yuji Nakatsukasa, Andreas Fischle

SIAM J. Matrix Anal. Appl., 2014

CholeskyQR2: a simple and communication-avoiding algorithm for computing a tall-skinny QR factorization on a large-scale parallel system.

Takeshi Fukaya, Yuji Nakatsukasa, Yuka Yanagisawa, Yusaku Yamamoto

Proceedings of the 5th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2014

Global Optimization Methods for Extended Fisher Discriminant Analysis.

Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Stable and Efficient Spectral Divide and Conquer Algorithms for the Symmetric Eigenvalue Decomposition and the SVD.

Yuji Nakatsukasa, Nicholas J. Higham

SIAM J. Sci. Comput., 2013

Erratum: Perturbation of Partitioned Hermitian Definite Generalized Eigenvalue Problems.

Ren-Cang Li, Yuji Nakatsukasa, Ninoslav Truhar, Shufang Xu

SIAM J. Matrix Anal. Appl., 2013

2012

Backward Stability of Iterations for Computing the Polar Decomposition.

Yuji Nakatsukasa, Nicholas J. Higham

SIAM J. Matrix Anal. Appl., 2012

dqds with Aggressive Early Deflation.

Yuji Nakatsukasa, Kensuke Aishima, Ichitaro Yamazaki

SIAM J. Matrix Anal. Appl., 2012

On the condition numbers of a multiple eigenvalue of a generalized eigenvalue problem.

Yuji Nakatsukasa

Numerische Mathematik, 2012

2011

Perturbation of Partitioned Hermitian Definite Generalized Eigenvalue Problems.

Ren-Cang Li, Yuji Nakatsukasa, Ninoslav Truhar, Shufang Xu

SIAM J. Matrix Anal. Appl., 2011

Gerschgorin's theorem for generalized eigenvalue problems in the Euclidean metric.

Yuji Nakatsukasa

Math. Comput., 2011

2010

Optimizing Halley's Iteration for Computing the Matrix Polar Decomposition.

Yuji Nakatsukasa, Zhaojun Bai, François Gygi

SIAM J. Matrix Anal. Appl., 2010