Computational Optimization and Applications - Top Downloaded Papers for 2022
Computational Optimization and Applications highlights some of the top downloaded papers from the journal in 2023:
Majorization-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 2023A limited memory Quasi-Newton approach for multi-objective optimization (this opens in a new tab)
Matteo Lapucci, Pierluigi Mansueto
Computational Optimization and Applications 85(1), 33-73 - March 2023A two-time-level model for mission and flight planning of an inhomogeneous fleet of unmanned aerial vehicles (this opens in a new tab)
Johannes Schmidt, Armin Fügenschuh
Computational Optimization and Applications 85(1), 293-335 - February 2023Globally optimal univariate spline approximations (this opens in a new tab)
Robert Mohr, Maximilian Coblenz, Peter Kirst
Computational Optimization and Applications 85(2), 409-439 - February 2023A split Levenberg-Marquardt method for large-scale sparse problems (this opens in a new tab)
Nataša Krejić, Greta Malaspina, Lense Swaenen
Computational Optimization and Applications 85(1), 147-179 - February 2023