Results 21 to 30 of about 147,801 (260)

Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction

open access: yesMathematical and Computational Applications, 2022
We propose two enhancements of quasi-Newton methods used to accelerate coupling iterations for partitioned fluid-structure interaction. Quasi-Newton methods have been established as flexible, yet robust, efficient and accurate coupling methods of multi ...
Kyle Davis   +2 more
doaj   +1 more source

Practical Inexact Proximal Quasi-Newton Method with Global Complexity Analysis [PDF]

open access: yes, 2015
Recently several methods were proposed for sparse optimization which make careful use of second-order information [10, 28, 16, 3] to improve local convergence rates.
Scheinberg, Katya, Tang, Xiaocheng
core   +1 more source

The algorithms of Broyden-CG for unconstrained optimization problems [PDF]

open access: yes, 2014
The conjugate gradient method plays an important role in solving large-scaled problems and the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems.
Ibrahim, Mohd Asrul Hery   +3 more
core   +1 more source

A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization [PDF]

open access: yes, 2011
Conjugate gradient methods are widely used for solving large-scale unconstrained optimization problems, because they do not need the storage of matrices.
Hager W. W.   +4 more
core   +1 more source

A Modified Broyden Algorithm

open access: yesJournal of Harbin University of Science and Technology, 2017
A Modified Broyden algorithm is presented to solve nonlinear equations in this paper. The convergence of the new algorithml is proved. The convergent order and effectiveness of improved Broyden method can be verified by numerical experiments. Through ...
LI Fu-xiang, HUANG Jia-yue
doaj   +1 more source

A Symmetric Rank-one Quasi Newton Method for Non-negative Matrix Factorization [PDF]

open access: yes, 2013
As we all known, the nonnegative matrix factorization (NMF) is a dimension reduction method that has been widely used in image processing, text compressing and signal processing etc.
Lai, Shu-Zhen   +2 more
core   +3 more sources

The optimum design of electrode and insulator contours by nonlinear programming using the surface charge simulation method [PDF]

open access: yes, 1988
A new method is presented for optimizing electrode and insulator contours. The contours are modified by using the iteration methods of nonlinear programming until the desired electric field distribution is obtained.
Misaki, T., Tsuboi, H.
core   +1 more source

A symmetric rank-one Quasi-Newton line-search method using negative curvature directions [PDF]

open access: yes, 2010
We propose a quasi-Newton line-search method that uses negative curvature directions for solving unconstrained optimization problems. In this method, the symmetric rank-one (SR1) rule is used to update the Hessian approximation.
Birbil, S. Ilker   +3 more
core   +1 more source

Multi-Constrained Seismic Multi-Parameter Full Waveform Inversion Based on Projected Quasi-Newton Algorithm

open access: yesRemote Sensing, 2023
The multi-parameter full waveform inversion (FWI) that integrates velocity and density can make full use of the kinematic and dynamic information of the measured data to reconstruct the underground model.
Deshan Feng   +5 more
doaj   +1 more source

The CG-BFGS method for unconstrained optimization problems [PDF]

open access: yes, 2013
In this paper we present a new search direction known as the CG-BFGS method, which uses the search direction of the conjugate gradient method approach in the quasi-Newton methods.
Ibrahim, Mohd Asrul Hery   +3 more
core   +1 more source

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