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  • Superlinearly Convergent Algorithms for Stochastic Time-Fractional Equations Driven by White Noise

    Zhen Song, Minghua Chen, Jiankang Shi
    2025-09-01
    119 36
  • A Class of Revised Broyden Algorithms Without Exact Line Search

    Dingguo Pu, Shenghua Gui, Weiwen Tian
    2004-02-02
    34187 3919 Pages:11-20
  • Globally Convergent Inexact Generalized Newton Methods with Decreasing Norm of the Gradient

    Ding-Guo Pu
    2002-06-02
    32195 3544 Pages:289-300
  • A Truly Globally Convergent Feasible Newton-Type Method for Mixed Complementarity Problems

    Deren Han
    2004-06-02
    33138 3305 Pages:347-360
  • A New Constraints Identification Technique-Based QP-Free Algorithm for the Solution of Inequality Constrained Minimization Problems

    Chang-yin Zhou, Guo-ping He & Yong-li Wang
    2006-10-02
    32174 3600 Pages:591-608
  • Quasi-Newton Waveform Relaxation Based on Energy Method

    Yaolin Jiang, Zhen Miao
    2018-09-17
    39165 2797 Pages:542-562
  • Convergence Analysis of a Locally Accelerated Preconditioned Steepest Descent Method for Hermitian-Definite Generalized Eigenvalue Problems

    Yunfeng Cai, Zhaojun Bai, John E. Pask, N. Sukumar
    2018-09-17
    38960 2942 Pages:739-760
  • A QP Free Feasible Method

    Dingguo Pu, Yan Zhou, Haiyan Zhang
    2004-10-02
    34667 3524 Pages:651-660
  • A Multigrid Semismooth Newton Method for Semilinear Contact Problems

    Michael Ulbrich, Stefan Ulbrich, Daniela Bratzke
    2019-02-12
    37845 2875 Pages:486-528
  • An SQP Algorithm with Nonmonotone Line Search for General Nonlinear Constrained Optimization Problem

    G. P. He, B. Q. Diao & Z. Y. Gao
    1997-04-02
    33794 3565 Pages:179-192
  • A Class of Modified Broyden Algorithms

    Ding-Guo Pu, Wei-Wen Tian
    2021-07-01
    34213 3585 Pages:366-379
  • A Trust-Region Method for Solving Truncated Complex Singular Value Decomposition

    Jiaofen Li, Lingchang Kong, Xuefeng Duan, Xuelin Zhou, Qilun Luo
    2024-04-09
    26169 1910 Pages:999-1031
1 - 12 of 12 items
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