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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… 
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Related topics

Related topics

3 relations
BackpropagationNewton's method in optimizationTinker

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Explicit numerical approximations for stochastic differential equations in finite and infinite horizons: truncation methods, convergence in pth moment, and stability
Solving stochastic differential equations (SDEs) numerically, explicit Euler-Maruyama (EM) schemes are used most frequently under… 
2015
2015
Truncated SVD-Based Compressive Sensing for Downward-Looking Three-Dimensional SAR Imaging With Uniform/Nonuniform Linear Array
For downward-looking linear array 3-D synthetic aperture radar, the resolution in cross-track direction is much lower than the… 
Review
2014
Review
2014
New perspectives on the natural gradient method
In this report we review and discuss some theoretical aspects of Amari's natural gradient method, provide a unifying picture of… 
Highly Cited
2012
Highly Cited
2012
Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization
Training neural network acoustic models with sequencediscriminative criteria, such as state-level minimum Bayes risk (sMBR), been… 
Highly Cited
2011
Highly Cited
2011
A Truncated SVD approach for fixed complexity spectrally efficient FDM receivers
Spectrally Efficient Frequency Division Multiplexing (SEFDM) systems aim to reduce the utilized spectrum by multiplexing non… 
Highly Cited
2010
Highly Cited
2010
GRASP and path relinking for the max-min diversity problem
Highly Cited
2010
Highly Cited
2010
Truncated Binary Multipliers With Variable Correction and Minimum Mean Square Error
Truncated multipliers compute the n most-significant bits of the n × n bits product. This paper focuses on variable-correction… 
Highly Cited
2006
Highly Cited
2006
Signal reconstruction in sensor arrays using sparse representations
2000
2000
A weighted view on the partial least-squares algorithm
  • D. D. Ruscio
  • at - Automatisierungstechnik
  • 2000
  • Corpus ID: 20893179
Highly Cited
1992
Highly Cited
1992
TNPACK—A truncated Newton minimization package for large-scale problems: I. Algorithm and usage
We present a FORTRAN package of subprograms for minimizing multivariate functions without constraints by a truncated Newton… 
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