Computational Optimization and Applications - Recent Top Cited Papers
Computational Optimization and Applications highlights some of the recently top cited papers from the journal:
Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction (this opens in a new tab)
Albert S. Berahas, Jiahao Shi, Zihong Yi, Baoyu Zhou
Computational Optimization and Applications 86(1), 79-116 - April 2023Radius theorems for subregularity in infinite dimensions (this opens in a new tab)
Helmut Gfrerer, Alexander Y. Kruger
Computational Optimization and Applications 1-42 - January 2023A harmonic framework for stepsize selection in gradient methods (this opens in a new tab)
Giulia Ferrandi, Michiel E. Hochstenbach, Nataša Krejić
Computational Optimization and Applications 85(1), 75-106 - February 2023Majorization-minimization-based Levenberg–Marquardt method for constrained nonlinear least squares (this opens in a new tab)
Naoki Marumo, Takayuki Okuno, Akiko Takeda
Computational Optimization and Applications 84(3), 833-874 - January 2023Generic linear convergence through metric subregularity in a variable-metric extension of the proximal point algorithm (this opens in a new tab)
R. Tyrrell Rockafellar
Computational Optimization and Applications 1-20 - May 2023