Artelys Knitro 10.3: support for Python 3 and improved performance!
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.
Exponential speedups on selected nonlinear least square instance
Additional features:
• 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.
MARI platform delivers record social welfare gains in its 2025 balancing operations
The Electricity Balancing Guideline (EBGL), in force since 2017, sets out the framework for a European balancing market allowing TSOs to net their balancing needs and to procure balancing energy from providers located both within their own area and across borders. This cooperation mechanism increases the overall security of supply while lowering system-wide balancing costs.
Artelys: Our solutions for maximising the value of hydropower assets
Hydropower plays a strategic role in the energy transition thanks to its unique ability to provide flexibility, storage, and dispatchability to the electricity system. However, managing hydropower systems is becoming increasingly complex: hydrological uncertainty linked to climate change, market volatility, evolving grid needs, and aging assets all call for a rethink of decision-making methods.
Supporting Lithuania’s Energy Security: National Resource Adequacy & Flexibility Needs Assessment for Litgrid
— Artelys is proud to have delivered a National Resource Adequacy Assessment (NRAA) for Litgrid, following the ENTSO-E ERAA methodology, alongside a Flexibility Needs Assessment (FNA) based on the framework set out by ACER.
Artelys Knitro 16.0: Model Nonlinear Problems Natively, Solve Them Concurrently
Artelys is pleased to announce the release of Knitro 16.0, a major version introducing two flagship features — a native Nonlinear Modeler and a Concurrent Solver — alongside significant performance and robustness improvements for nonlinear, mixed-integer and linear optimization problems.
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