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h5 指数:34
h5 中位数:46

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

标题/作者	引用次数	年份
Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods N Loizou, P Richtárik Computational Optimization and Applications 77 (3), 653-710	174	2020
Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis B Jiang, T Lin, S Ma, S Zhang Computational Optimization and Applications 72 (1), 115-157	134	2019
A proximal difference-of-convex algorithm with extrapolation B Wen, X Chen, TK Pong Computational Optimization and Applications 69, 297-324	123	2018
Accelerated Bregman proximal gradient methods for relatively smooth convex optimization F Hanzely, P Richtárik, L Xiao Computational Optimization and Applications 79, 405-440	73	2021
Weak convergence of iterative methods for solving quasimonotone variational inequalities H Liu, J Yang Computational Optimization and Applications 77 (2), 491-508	70	2020
Smoothing algorithms for computing the projection onto a Minkowski sum of convex sets X Qin, NT An Computational Optimization and Applications 74 (3), 821-850	68	2019
A two-stage stochastic programming approach for influence maximization in social networks HH Wu, S Küçükyavuz Computational Optimization and Applications 69, 563-595	67	2018
MIP-based instantaneous control of mixed-integer PDE-constrained gas transport problems M Gugat, G Leugering, A Martin, M Schmidt, M Sirvent, D Wintergerst Computational Optimization and Applications 70, 267-294	60	2018
Generalized symmetric ADMM for separable convex optimization J Bai, J Li, F Xu, H Zhang Computational Optimization and Applications 70 (1), 129-170	60	2018
Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants A Kannan, UV Shanbhag Computational Optimization and Applications 74 (3), 779-820	56	2019
A copositive approach for two-stage adjustable robust optimization with uncertain right-hand sides G Xu, S Burer Computational Optimization and Applications 70, 33-59	56	2018
A class of ADMM-based algorithms for three-block separable convex programming B He, X Yuan Computational Optimization and Applications 70, 791-826	49	2018
Mesh-based Nelder–Mead algorithm for inequality constrained optimization C Audet, C Tribes Computational Optimization and Applications 71, 331-352	49	2018
A family of spectral gradient methods for optimization YH Dai, Y Huang, XW Liu Computational Optimization and Applications 74, 43-65	49	2019
Global optimization via inverse distance weighting and radial basis functions A Bemporad Computational Optimization and Applications 77 (2), 571-595	48	2020
Inexact first-order primal–dual algorithms J Rasch, A Chambolle Computational Optimization and Applications 76 (2), 381-430	48	2020
Fastest rates for stochastic mirror descent methods F Hanzely, P Richtárik Computational Optimization and Applications 79, 717-766	47	2021
Optimally linearizing the alternating direction method of multipliers for convex programming B He, F Ma, X Yuan Computational Optimization and Applications 75 (2), 361-388	46	2020
Convergence of a Scholtes-type regularization method for cardinality-constrained optimization problems with an application in sparse robust portfolio optimization M Branda, M Bucher, M Červinka, A Schwartz Computational Optimization and Applications 70, 503-530	45	2018
Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points EG Birgin, G Haeser, A Ramos Computational Optimization and Applications 69, 51-75	44	2018

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