Artelys Knitro 11: New SOCP algorithm!
This version comes with a redesign of the C API improving flexibility when manipulating your models. The user can directly provide the constraint structure (e.g. linear, quadratic, quadratic conic) to the solver without using callback functions. It is also possible to provide derivatives for only a subset of the model, Knitro being able to automatically approximate the missing derivatives.
Artelys Knitro intègre désormais une spécialisation algorithmique permettant de gérer efficacement les contraintes quadratiques coniques, présentes dans les modèles SOCP que l’on retrouve dans de nombreuses applications (l’économie, la physique, la finance …). Cette évolution majeure pour les problèmes SOCP s’accompagne d’une amélioration notable des performances sur les problèmes QCQP.
Other features
• CG preconditioning now available for all classes of problems
• New parallel linear solvers (HSL MA86 and MA97) allowing speedups on large scale problems
• The Knitro R interface is now open source
• Several enhancements of the MINLP and active-set algorithms
• General performance improvements in particular for convex problems
Artelys participates in the demonstration of large-scale underground hydrogen storage in Europe
— Artelys is involved in the five-year project FrHyGe funded by the European Commission via the Clean Hydrogen Partnership.
Artelys continues to expand internationally
With over 20 years of experience in mathematical optimization, Artelys offers a wide range of advanced components to adapt to your most complex challenges on an international scale.
Analysis of the environmental impact of renewable energies
— The study carried out by Artelys highlights the benefits of renewable energies in the fight against climate change. The analysis also looks at other major issues, such as biodiversity, the use of raw materials and the reduction of pollution.
Join us at the METIS 3 dissemination event organized by Artelys!
— Artelys is thrilled to invite you to the METIS 3 Dissemination Event taking place on 17 April. During this online event, we will present the latest results of the METIS project and discuss the benefits of using advanced multi-energy modelling solutions such as METIS for energy and climate policymaking.
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