Daniel Szyld
Temple University · as of May 2026
1 contribution type · 2 talks
Latest: Provable Convergence rate for Asynchronous methods via Randomized Gauss-Seidel · May 5, 2026
People in Numerical Analysis
Ranked by variety of contributions in Numerical Analysis over the past three years and next three months. Repeated hosting of the same series counts once.
Yousef Saad
University of Minnesota · as of May 2026
1 contribution type · 1 talk
Latest: Relaxed gradient-type descent methods · May 7, 2026
Matthias Bolten
Bergische Universität Wuppertal · as of May 2026
1 contribution type · 1 talk
Latest: Multigrid methods on high performance computers · May 6, 2026
Vasileios Kalantzis
IBM Research · as of May 2026
1 contribution type · 1 talk
Latest: Straggler-Tolerant Iterative Methods for Linear Systems and Eigenvector Computations with Partial Matrix-Vector Products · May 5, 2026
Evan Coleman
University of Mary Washington · as of May 2026
1 contribution type · 1 talk
Latest: Acceleration and Adaptive Selection in Asynchronous Iterative Solvers · May 5, 2026
Erik Boman
Sandia National Laboratories · as of May 2026
1 contribution type · 1 talk
Latest: Asynchronous preconditioners and linear solvers · May 5, 2026
Edmond Chow
Georgia Institute of Technology · as of May 2026
1 contribution type · 1 talk
Latest: Asynchronous Iterative Methods: From Numerical Solvers to Reinforcement Learning · May 4, 2026
Misha Kilmer
Tufts University · as of Feb 2026
1 contribution type · 1 talk
Latest: Structured Matrix Approximations via Tensor Decompositions · Feb 6, 2026
Robert Gower
Flatiron Institute · as of Feb 2026
1 contribution type · 1 talk
Latest: The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm · Feb 6, 2026
David Woodruff
Carnegie Mellon University · as of Feb 2026
1 contribution type · 1 talk
Latest: Tight Sampling Bounds for Eigenvalue Approximation · Feb 6, 2026
Robert Webber
UC San Diego · as of Feb 2026
1 contribution type · 1 talk
Latest: Everything is Vecchia: Unifying low-rank and sparse inverse approximations · Feb 5, 2026
Alice Cortinovis
University of Pisa · as of Feb 2026
1 contribution type · 1 talk
Latest: An adaptive randomized pivoting strategy for low-rank approximation · Feb 5, 2026
Tyler Chen
JPMorganChase · as of Feb 2026
1 contribution type · 1 talk
Latest: Preconditioning without a preconditioner using block Krylov subspace methods · Feb 5, 2026
Michal Dereziński
University of Michigan · as of Feb 2026
1 contribution type · 1 talk
Latest: Closing the Theory-Practice Gap in Oblivious Subspace Embeddings · Feb 5, 2026
Alex Townsend
Cornell University · as of Feb 2026
1 contribution type · 1 talk
Latest: Estimating a matrix's singular values with interpolative decompositions · Feb 5, 2026
Chris Musco
New York University · as of Feb 2026
1 contribution type · 1 talk
Latest: Structured Matrix Learning from Matrix-Vector Products · Feb 4, 2026
Davide Palitta
Alma Mater Studiorum, Universita' di Bologna · as of Feb 2026
1 contribution type · 1 talk
Latest: The S^T S-SVD with Applications · Feb 4, 2026
Daniel Kressner
École Polytechnique Fédérale de Lausanne · as of Feb 2026
1 contribution type · 1 talk
Latest: Randomized methods for joint eigenvalue problems · Feb 4, 2026
Sherry Xiaoye Li
Lawrence Berkeley National Laboratory · as of Feb 2026
1 contribution type · 1 talk
Latest: Fast Construction of Hierarchically Low-Rank Matrices Using Randomized Sketching · Feb 3, 2026
Alberto Bucci
University of Edinburgh · as of Feb 2026
1 contribution type · 1 talk
Latest: Streaming randomized techniques for low-rank approximation of tensors with applications · Feb 3, 2026