https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 The fast and the robust: trade-offs between optimization robustness and cost in the calibration of environmental models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35400 Wed 24 Jul 2019 13:09:20 AEST ]]> Comparison of Newton-type and SCE optimisation algorithms for the calibration of conceptual hydrological models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33321 Tue 16 Oct 2018 09:48:35 AEDT ]]> A robust and efficient optimization algorithm for hydrological models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30536 Mon 23 Sep 2019 10:55:37 AEST ]]> A robust Gauss-Newton algorithm for the optimization of hydrological models: from standard Gauss-Newton to robust Gauss-Newton https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36293 Mon 23 Mar 2020 16:07:29 AEDT ]]> Can Gauss-Newton Algorithms Outperform Stochastic Optimization Algorithms When Calibrating a Highly Parameterized Hydrological Model? A Case Study Using SWAT https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52288 Mon 09 Oct 2023 10:10:49 AEDT ]]> A robust Gauss-Newton algorithm for the optimization of hydrological models: benchmarking against industry-standard algorithms https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34912 robustness‐per‐fixed‐cost. A detailed analysis of performance in terms of reliability and cost is provided. Overall, the RGN algorithm is an attractive option for the calibration of hydrological models, and we recommend further investigation of its benefits for broader types of optimization problems.]]> Mon 08 Jul 2019 11:28:03 AEST ]]>