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Broyden–Fletcher–Goldfarb–Shanno algorithm

Known as: BFGS, Broydon-Fletcher-Goldfarb-Shanno, BFGS method 
In numerical optimization, the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm is an iterative method for solving unconstrained nonlinear… 
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Related topics

Related topics

25 relations
Approximation theoryBerndt–Hall–Hall–Hausman algorithmBroyden's methodDavidon–Fletcher–Powell formula

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Broyden-Fletcher-Goldfarb-Shanno algorithm based on new quasi-Newton equation
Based on the error analysis of the Taylor expansion,a new model for improving the quadratic model is put forward,and the new… 
Highly Cited
2007
Highly Cited
2007
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these… 
2003
2003
Extension of Quasi-Newton Methods to Mathematical Programs with Complementarity Constraints
Quasi-Newton methods in conjunction with the piecewise sequential quadratic programming are investigated for solving mathematical… 
2001
2001
Design of linear phase IIR filters via weighted least-squares approximation
A new method for designing IIR digital filters with linear phase in the passband is proposed. This method is based on frequency… 
Highly Cited
1997
Highly Cited
1997
Limited-memory matrix methods with applications
The focus of this dissertation is on matrix decompositions that use a limited amount of computer memory, thereby allowing… 
1997
1997
Nonlinear PLS modelling using radial basis functions
An approach to nonlinear partial least squares (PLS) modelling using radial basis function (RBF) neural networks to provide a… 
1991
1991
Parallel-vector computation for linear structural analysis and non-linear unconstrained optimization problems
1990
1990
Deriving collinear scaling algorithms as extensions of quasi-Newton methods and the local convergence of DFP- and BFGS-related collinear scaling algorithms
This paper is concerned with collinear scaling algorithms for unconstrained minimization where the underlying local approximants… 
1989
1989
Nonlinear parameter estimation experiments for static load modelling in electric power systems
In the paper, we consider the problem of estimating the parameters of static power system load models intended for use in load… 
Highly Cited
1986
Highly Cited
1986
A general-purpose optimization program for engineering design
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