Truncated Newton method

Known as: Hessian-free optimization 
Truncated Newton methods, also known as Hessian-free optimization, are a family of optimization algorithms designed for optimizing non-linear… (More)
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Topic mentions per year

Topic mentions per year

1991-2018
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Papers overview

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2017
2017
Full Waveform Inversion (FWI) is a promising seismic imaging method. It aims at computing quantitative estimates of the… (More)
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Highly Cited
2015
Highly Cited
2015
We propose an efficient method for approximating natural gradient descent in neural networks which we call Kronecker-factored… (More)
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2014
2014
In this paper, we study an efficient tridiagonal preconditioner, based on numerical differentiation, applied to the matrix-free… (More)
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2013
2013
Full Waveform Inversion (FWI) is a powerful method for reconstructing subsurface parameters from local measurements of the… (More)
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2013
2013
Full Waveform Inversion (FWI) methods use generally gradient based method, such as the nonlinear conjugate gradient method or… (More)
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Highly Cited
2011
Highly Cited
2011
Recurrent Neural Networks (RNNs) are very powerful sequence models that do not enjoy widespread use because it is extremely… (More)
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Review
2010
Review
2010
This report is devoted to preconditioning techniques for the matrix-free truncated Newton method. After a review of basic known… (More)
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2009
2009
We propose a new distributed algorithm for computing a truncated Newton method, where the main diagonal of the Hessian is… (More)
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2005
2005
This paper deals with the preconditioning of truncated Newton methods for the solution of large scale nonlinear unconstrained… (More)
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1999
1999
We consider unconstrained minimization problems that have functions and gradients given by “black box” codes with error control… (More)
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