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SIAMJO
2010
137views more  SIAMJO 2010»
13 years 5 months ago
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
In this paper, we propose a hybrid Gauss-Newton structured BFGS method with a new update formula and a new switch criterion for the iterative matrix to solve nonlinear least square...
Weijun Zhou, Xiaojun Chen
JGO
2010
89views more  JGO 2010»
13 years 5 months ago
Iterative regularization algorithms for constrained image deblurring on graphics processors
Abstract The ability of the modern graphics processors to operate on large matrices in parallel can be exploited for solving constrained image deblurring problems in a short time. ...
Valeria Ruggiero, Thomas Serafini, Riccardo Zanell...
PC
2010
145views Management» more  PC 2010»
13 years 5 months ago
GPU computing with Kaczmarz's and other iterative algorithms for linear systems
The graphics processing unit (GPU) is used to solve large linear systems derived from partial differential equations. The differential equations studied are strongly convection-...
Joseph M. Elble, Nikolaos V. Sahinidis, Panagiotis...
VECPAR
2004
Springer
14 years 22 days ago
Domain Decomposition Methods for PDE Constrained Optimization Problems
Abstract. Optimization problems constrained by nonlinear partial differential equations have been the focus of intense research in scientific computing lately. Current methods for...
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan ...
AAAI
1996
13 years 8 months ago
Enhancements of Branch and Bound Methods for the Maximal Constraint Satisfaction Problem
Two methods are described for enhancing performance of branch and bound methods for overconstrained CSPS. These methods improve either the upper or lower bound, respectively, duri...
Richard J. Wallace