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.
— Planning for the energy transition requires the ability to optimize energy system development pathways, considering complex interactions and constraints, particularly concerning interactions between sectors and vectors. In this context, Artelys has developed a new method for solving these large-scale mathematical problems.
— The stakes of Artificial Intelligence (AI) have become a strategic issue for companies, regardless of their field of activity or size. As an expert, Artelys provides you with full assistance, from the design stage to the implementation of your first AI solution, by building with and for your team a roadmap tailored to your business.
— As part of Le Havre Seine Métropole’s energy master plan, Artelys has worked with metropolitan services to set up a web platform for monitoring territorial energy data.
— CasADi is an open-source tool for general numerical optimization with a strong focus on optimal control and its versions 3.6.2 and higher are now compatible with Artelys Knitro 13.2.
subscribe to our newsletters