Artelys Knitro 12.3 solves nonlinear models with millions of constraints!
The latest release of Artelys Knitro provides performance improvements on all types of optimization models (from linear and quadratic to general nonlinear models) allowing our customers to solve even larger problems with millions of constraints.
These problems are notably observed in several fields such as portfolio optimization in finance, trajectory optimization for robots or autonomous vehicles, economics or optimal power flow in energy.
This enhancement derives from two major developments:
An average performance improvement of 20% for large scale nonlinear models while using the default Interior/Direct algorithm. This improvement builds on the updates provided with Artelys Knitro 12.2 which refined internal linear systems for large scale models. These features have further been enhanced in this release, with a focus on numerical stability. An average memory saving of 40% on all types of convex models when using the Interior/Direct algorithm.
Additional features of Artelys Knitro 12.3:
Updated R, Java and C# interfaces. High speedups can be expected on all models with linear and quadratic structures as they are now processed through a dedicated API. New C and Python single call functions to solve LP, QP and QCQP problems similar to functions already available for our Matlab users. Memory savings up to 50% when using the least squares interface. New diving heuristics to complement the feasibility pump heuristic for Mixed Integer Nonlinear Problems (MINLP). General improvement on nonlinear models when using the BFGS Hessian approximation.
GEODIP, a tool for the representation of energy poverty in France, is now available online!
— In association with the French Energy Poverty Observatory (ONPE), Artelys has developed GEODIP, a tool including various cartographic representations of energy poverty in France. GEODIP is already available free of charge for local stakeholders.
2022 training sessions
— Do you want to train in 2022 to be more innovative in your company, to become more efficient or simply to open up to other horizons?
The MIT Biomimetic Robotics Lab uses Artelys Knitro to achieve High speed landing of quadruped robots
— There are various and fascinating projects adopting Artelys Knitro. Recently, the MIT Biomimetic Robotics Lab used our nonlinear solver on quadruped robots. Artelys Knitro has been found to be the only non-linear solver capable of performing fast enough to be deployed onboard their robot for a real-time Optimal Landing Control.
Artelys team wins 530k$ prize money in prestigious ARPA-E Grid Optimization Competition
— Last year, we were thrilled to announce that Artelys was amongst the top ten finalists of the ARPA-E Grid Optimization Competition – Challenge 1. Well, we would like to give another round of applause for the Artelys team that won this time the second prize of Challenge 2, earning $530k in prize money!
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