Quasi-Newton method

Known as: Variable-metric method, Quasi-Newton algorithms, Variable metric methods 
Quasi-Newton methods are methods used to either find zeroes or local maxima and minima of functions, as an alternative to Newton's method. They can… (More)
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Papers overview

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2017
2017
We introduce the decentralized Broyden–Fletcher–Goldfarb–Shanno (D-BFGS) method as a variation of the BFGS quasi-Newton method… (More)
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Highly Cited
2016
Highly Cited
2016
The question of how to incorporate curvature information in stochastic approximation methods is challenging. The direct… (More)
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Highly Cited
2013
Highly Cited
2013
We investigate the behavior of quasi-Newton algorithms applied to minimize a nonsmooth function f , not necessarily convex. We… (More)
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Highly Cited
2010
Highly Cited
2010
Quasi-Newton methods accelerate the steepest-descent technique for function minimization by using computational history to… (More)
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Highly Cited
2010
Highly Cited
2010
Let F be a mapping from real «-dimensional Euclidean space into itself. Most practical algorithms for finding a zero of F are of… (More)
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Highly Cited
2007
Highly Cited
2007
We develop stochastic variants of the wellknown BFGS quasi-Newton optimization method, in both full and memory-limited (LBFGS… (More)
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Highly Cited
1998
Highly Cited
1998
A quasi-Newton Method is used to simultaneously relax the internal coordinates and lattice parameters of crystals under pressure… (More)
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Highly Cited
1995
Highly Cited
1995
This paper describes an algorithm for constructing a single hidden layer feedforward neural network. A distinguishing feature of… (More)
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Highly Cited
1989
Highly Cited
1989
This paper describes some numerical experiments with variable-storage quasi-Newton methods for the optimization of some large… (More)
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Highly Cited
1989
Highly Cited
1989
We study the numerical performance of a limited memory quasi Newton method for large scale optimization which we call the L BFGS… (More)
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