Efficiency Analysis on a Truncated Newton Method with Preconditioned Conjugate Gradient Technique for Optimization

Author(s):  
J. Z. Zhang ◽  
N. Y. Deng ◽  
Z. Z. Wang
2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Min Xu ◽  
Bojian Zhou ◽  
Jie He

This study proposes an improved truncated Newton (ITN) method for the logit-based stochastic user equilibrium problem. The ITN method incorporates a preprocessing procedure to the traditional truncated Newton method so that a good initial point is generated, on the basis of which a useful principle is developed for the choice of the basic variables. We discuss the rationale of both improvements from a theoretical point of view and demonstrate that they can enhance the computational efficiency in the early and late iteration stages, respectively, when solving the logit-based stochastic user equilibrium problem. The ITN method is compared with other related methods in the literature. Numerical results show that the ITN method performs favorably over these methods.


2013 ◽  
Vol 35 (2) ◽  
pp. B401-B437 ◽  
Author(s):  
L. Métivier ◽  
R. Brossier ◽  
J. Virieux ◽  
S. Operto

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