Zobrazeno 1 - 10
of 121
pro vyhledávání: '"YUJI NAKATSUKASA"'
Publikováno v:
SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 2, pA929-A952, 24p
Publikováno v:
SIAM Journal on Matrix Analysis & Applications; 2024, Vol. 45 Issue 1, p619-633, 15p
Autor:
YUJI NAKATSUKASA1 nakatsukasa@maths.ox.ac.uk, TAEJUN PARK1 park@maths.ox.ac.uk
Publikováno v:
SIAM Journal on Matrix Analysis & Applications. 2023, Vol. 44 Issue 3, p1370-1392. 23p.
Autor:
BENNER, PETER1 benner@mpi-magdeburg.mpg.de, YUJI NAKATSUKASA2 nakatsukasa@maths.ox.ac.uk, PENKE, CAROLIN1 penke@mpi-magdeburg.mpg.de
Publikováno v:
SIAM Journal on Matrix Analysis & Applications. 2023, Vol. 44 Issue 3, p1245-1270. 26p.
Publikováno v:
Mathematical Programming. 193:447-483
We present an algorithm for the minimization of a nonconvex quadratic function subject to linear inequality constraints and a two-sided bound on the 2-norm of its solution. The algorithm minimizes the objective using an active-set method by solving a
Autor:
Yuji Nakatsukasa, Alex Townsend
Publikováno v:
SIAM Journal on Numerical Analysis. 59:314-333
An important observation in compressed sensing is that the $\ell_0$ minimizer of an underdetermined linear system is equal to the $\ell_1$ minimizer when there exists a sparse solution vector and a certain restricted isometry property holds. Here, we
Publikováno v:
Linear Algebra and its Applications. 594:177-192
When a projection of a symmetric or Hermitian matrix to the positive semidefinite cone is computed approximately (or to working precision on a computer), a natural question is to quantify its accuracy. A straightforward bound invoking standard eigenv
Quantum subspace diagonalization methods are an exciting new class of algorithms for solving large\rev{-}scale eigenvalue problems using quantum computers. Unfortunately, these methods require the solution of an ill-conditioned generalized eigenvalue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf426417380c042628d227f55d8f6c16
http://arxiv.org/abs/2110.07492
http://arxiv.org/abs/2110.07492
Autor:
BENNER, PETER1 benner@mpi-magdeburg.mpg.de, YUJI NAKATSUKASA2 nakatsukasa@maths.ox.ac.uk, PENKE, CAROLIN1 penke@mpi-magdeburg.mpg.de
Publikováno v:
SIAM Journal on Matrix Analysis & Applications. 2022, Vol. 43 Issue 3, p1058-1083. 26p.
Autor:
Yuji Nakatsukasa, Lloyd N. Trefethen
This article is about both approximation theory and the numerical solution of partial differential equations (PDEs). First we introduce the notion of {\em reciprocal-log} or {\em log-lightning approximation} of analytic functions with branch point si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e59ac60809388ea0890aee288b2a23f
https://doi.org/10.1137/20m1369555
https://doi.org/10.1137/20m1369555