Sciweavers

Share
123 search results - page 1 / 25
» A Quadratically Convergent Algorithm for Structured Low-Rank...
Sort
View
FOCM
2016
3 years 10 months ago
A Quadratically Convergent Algorithm for Structured Low-Rank Approximation
Structured Low-Rank Approximation is a problem arising in a wide range of applications in Numerical Analysis and Engineering Sciences. Given an input matrix M, the goal is to comp...
Éric Schost, Pierre-Jean Spaenlehauer
ICCAD
2001
IEEE
124views Hardware» more  ICCAD 2001»
9 years 11 months ago
Highly Accurate Fast Methods for Extraction and Sparsification of Substrate Coupling Based on Low-Rank Approximation
More aggressive design practices have created renewed interest in techniques for analyzing substrate coupling problems. Most previous work has focused primarily on faster techniqu...
Joe Kanapka, Jacob White
SIAMMAX
2011
79views more  SIAMMAX 2011»
8 years 5 months ago
Nonlinear Low Rank Modification of a Symmetric Eigenvalue Problem
This paper studies existence and uniqueness results and interlacing properties of nonlinear modifications of small rank of symmetric eigenvalue problems. Approximation properties ...
Heinrich Voss, Kemal Yildiztekin, Xin Huang
IFIP
2005
Springer
9 years 8 months ago
A New Low Rank Quasi-Newton Update Scheme for Nonlinear Programming
A new quasi-Newton scheme for updating a low rank positive semi-definite Hessian approximation is described, primarily for use in sequential quadratic programming methods for non...
R. Fletcher
TSP
2008
178views more  TSP 2008»
9 years 2 months ago
Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
Pei Chen
books