We specialize in the development of software solutions for numerical optimization problems, from modeling your problem into a computationally attractive form to developing and implementing tailored solution algorithms.
Optimization problems appear in many shapes and sizes, and identifying them is part of the challenge. In the vast majority of cases, the task involves at least one of these categories.
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Schedule your delivery routes to minimize costs, all while ensuring promised lead times under uncertain traffic conditions.
Plan and predict strategies for dynamical systems on short time scales. Usually, these applications require highly memory-efficient, and easy to validate software, exhibiting transparent and predictable behavior.
Minimize the mismatch between supply and demand on energy grids with distributed consumers and producers, and large amounts of uncertainty.