From a numerical perspective, large speedups are to be seen on some classes of ill-conditioned models. This is due to new preconditioning techniques applied to the subproblems solved by conjugate gradient method in the Knitro interior-point/barrier algorithms. Furthermore, Artelys Knitro 10.3 offers several improvements to the internal linear algebra and linear solvers used internally for better robustness and efficiency.
• Significant improvements in large-scale least-squares models, solving the instances 10 times faster!
• Improvements in the “feasibility restoration phase” used when Knitro is struggling to get feasible allowing faster detection of infeasible models.
• Overall efficiency and robustness improvements on general nonlinear models as well as significant improvements in efficiency on models with integer variables.
— Artelys has attended the “CBTE” at Rennes, on the 6th December 2018.read more
— The European Commission and Artelys invite you to the METIS Dissemination Event taking place on 20 February 2019 in Brussels. During this event, we will present the latest results of the METIS project and discuss the benefits of using modelling tools such as METIS for energy/climate policy making.read more
— On 1 February 2019 ADEME will present the study « Trajectoires d’évolution du mix électrique 2020-2060 », carried out by Artelys, to key French stakeholders.read more
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