NEWTON-TYPE MINIMIZATION VIA THE LANCZOS METHOD

被引:227
|
作者
NASH, SG
机构
关键词
D O I
10.1137/0721052
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
引用
收藏
页码:770 / 788
页数:19
相关论文
共 50 条
  • [1] On the DSM Newton-type method
    Ramm, A. G.
    [J]. JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2012, 38 (1-2) : 523 - 533
  • [2] On the DSM Newton-type method
    A. G. Ramm
    [J]. Journal of Applied Mathematics and Computing, 2012, 38 (1-2) : 523 - 533
  • [3] Inexact Newton-type methods based on Lanczos orthonormal method and application for full waveform inversion
    He, Qinglong
    Wang, Yanfei
    [J]. INVERSE PROBLEMS, 2020, 36 (11)
  • [4] Newton-Type Alternating Minimization Algorithm for Convex Optimization
    Stella, Lorenzo
    Themelis, Andreas
    Patrinos, Panagiotis
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (02) : 697 - 711
  • [5] Newton-type multilevel optimization method
    Ho, Chin Pang
    Kocvara, Michal
    Parpas, Panos
    [J]. OPTIMIZATION METHODS & SOFTWARE, 2022, 37 (01): : 45 - 78
  • [6] On the convergence of an inexact Newton-type method
    Zhou, Guanglu
    Qi, Liqun
    [J]. OPERATIONS RESEARCH LETTERS, 2006, 34 (06) : 647 - 652
  • [7] FedDANE: A Federated Newton-Type Method
    Li, Tian
    Sahu, Anit Kumar
    Zaheer, Manzil
    Sanjabi, Maziar
    Talwalkar, Ameet
    Smith, Virginia
    [J]. CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2019, : 1227 - 1231
  • [8] A diagonally scaled Newton-type proximal method for minimization of the models with nonsmooth composite cost functions
    Aminifard, Zohre
    Babaie-Kafaki, Saman
    [J]. COMPUTATIONAL & APPLIED MATHEMATICS, 2023, 42 (08):
  • [9] A diagonally scaled Newton-type proximal method for minimization of the models with nonsmooth composite cost functions
    Zohre Aminifard
    Saman Babaie–Kafaki
    [J]. Computational and Applied Mathematics, 2023, 42
  • [10] A proximal Newton-type method for equilibrium problems
    Santos, P. J. S.
    Santos, P. S. M.
    Scheimberg, S.
    [J]. OPTIMIZATION LETTERS, 2018, 12 (05) : 997 - 1009