他組織イベント案内

2018-03-06 Reichel教授による数値線形代数の講演/Lectures on Numerical Linear Algebra by Prof. Lothar Reich

投稿者:  速水 謙(国立情報学研究所)
会場: 国立情報学研究所
概要: クリロフ部分空間法による画像復元およびガウス型積分における構造行列に関する2講演

日程 2018年 3月 6日(火) 2:00-4:00pm
会場 国立情報学研究所 12F, 1212号室
Place: National Institute of Informatics, 12F, Room 1212 (Lecture room 1)
access
Speaker Professor Lothar Reichel
Department of Mathematical Sciences, Kent State University, USA
Program 2:00-
Title: Generalized Krylov subspace methods for l_p-l_q minimization with application to image restoration.

Abstract: This talk presents new efficient approaches for the solution of l_p-l_q minimization problems based on the application of successive orthogonal projections onto generalized Krylov subspaces of increasing dimension. The subspaces are generated according to the iteratively reweighted least-squares strategy for the approximation of
l_p- and l_q-norms (or quasi-norms for 0

3:00-
Title: Some structured matrix problems in Gauss-type quadrature

Abstract: It is well-known that Gauss quadrature rules can be computed by evaluating the integrand at a symmetric tridiagonal matrix determined by recursion coefficients of orthogonal polynomials associated with the underlying measure. This talk describes several generalizations that can be applied to approximate certain matrix functions and estimate the error in the approximations so determined. These generalizations involve symmetric and nonsymmetric tridiagonal and block tridiagonal matrices. The talk presents joint work with H. Alqahtani and M. Pranic'.
問い合わせ先, Contatcs 速水 謙(Ken Hayami)
〒101-8430 東京都 千代田区 一ツ橋 2-1-2 国立情報学研究所
e-mail: hayamiseparatornii.ac.jp
詳細 web http://www.nii.ac.jp/en/event/2018/0306.html