A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization

SIAM Journal on Optimization ◽

10.1137/20m1373190 ◽

2022 ◽

Vol 32 (1) ◽

pp. 29-55

Author(s):

Hao-Jun M. Shi ◽

Yuchen Xie ◽

Richard Byrd ◽

Jorge Nocedal

Keyword(s):

Unconstrained Optimization ◽

Newton Algorithm ◽

Noise Tolerant ◽

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A parallel quasi-Newton algorithm for unconstrained optimization

Computing ◽

10.1007/bf02238097 ◽

1995 ◽

Vol 55 (2) ◽

pp. 125-133 ◽

Author(s):

Z. Chen ◽

P. Fei ◽

H. Zheng

Keyword(s):

Unconstrained Optimization ◽

Newton Algorithm ◽

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A new regularized quasi-Newton algorithm for unconstrained optimization

Applied Mathematics and Computation ◽

10.1016/j.amc.2015.02.032 ◽

2015 ◽

Vol 259 ◽

pp. 460-469 ◽

Author(s):

Hao Zhang ◽

Qin Ni

Keyword(s):

Unconstrained Optimization ◽

Newton Algorithm ◽

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A direct search quasi-Newton method for nonsmooth unconstrained optimization

ANZIAM Journal ◽

10.21914/anziamj.v59i0.10651 ◽

2018 ◽

Vol 59 ◽

pp. 215

Author(s):

Christopher John Price

Keyword(s):

Unconstrained Optimization ◽

Newton Method ◽

Direct Search ◽

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A new quasi-Newton algorithm

Applied Mathematics Letters ◽

10.1016/0893-9659(88)90186-3 ◽

1988 ◽

Vol 1 (1) ◽

pp. 101-104 ◽

Author(s):

Yin Zhang ◽

R.P. Tewarson

Keyword(s):

Newton Algorithm ◽

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Nonlinear relaxation/quasi-Newton algorithm for the compressible Navier-Stokes equations

AIAA Journal ◽

10.2514/3.11318 ◽

1993 ◽

Vol 31 (1) ◽

pp. 57-60 ◽

Author(s):

Jack R. Edwards ◽

D. Scott McRae

Keyword(s):

Stokes Equations ◽

Navier Stokes ◽

Navier Stokes Equations ◽

Nonlinear Relaxation ◽

Newton Algorithm ◽

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A new conjugate gradient method based on Quasi-Newton equation for unconstrained optimization

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2018.10.035 ◽

2019 ◽

Vol 350 ◽

pp. 372-379 ◽

Author(s):

Xiangli Li ◽

Juanjuan Shi ◽

Xiaoliang Dong ◽

Jianglan Yu

Keyword(s):

Unconstrained Optimization ◽

Conjugate Gradient Method ◽

Conjugate Gradient ◽

Gradient Method ◽

Newton Equation ◽

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A lower bound based smoothed quasi-Newton algorithm for group bridge penalized regression

Communications in Statistics - Simulation and Computation ◽

10.1080/03610918.2015.1129409 ◽

2017 ◽

Vol 46 (6) ◽

pp. 4694-4707

Author(s):

Yongxiu Cao ◽

Jian Huang ◽

Yuling Jiao ◽

Yanyan Liu

Keyword(s):

Lower Bound ◽

Penalized Regression ◽

Newton Algorithm ◽

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An ℓ1-Penalization Of Adaptive Normalized Quasi-Newton Algorithm For Sparsity-Aware Generalized Eigenvector Estimation

2018 IEEE Statistical Signal Processing Workshop (SSP) ◽

10.1109/ssp.2018.8450790 ◽

2018 ◽

Author(s):

Kengo Uchida ◽

Isao Yamada

Keyword(s):

Newton Algorithm ◽

Quasi Newton ◽

Generalized Eigenvector

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A parallel asynchronous Newton algorithm for unconstrained optimization

Journal of Optimization Theory and Applications ◽

10.1007/bf00940714 ◽

1993 ◽

Vol 77 (2) ◽

pp. 305-322 ◽

Author(s):

D. Conforti ◽

R. Musmanno

Keyword(s):

Unconstrained Optimization ◽

Newton Algorithm

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Quasi-Newton algorithm for optimal approximate linear regression design: Optimization in matrix space

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2018.03.005 ◽

2019 ◽

Vol 198 ◽

pp. 62-78 ◽

Author(s):

N. Gaffke ◽

R. Schwabe

Keyword(s):

Linear Regression ◽

Design Optimization ◽

Matrix Space ◽

Newton Algorithm ◽

Regression Design ◽

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