Abstract. We consider sensitivity functionals and Lagrange multiplier method for solving finite dimensional convex optimization problem.An analysis based on this property is also applied for ...

This paper deals with the packing problem of circles and non-convex polygons, which can be both translated and rotated into a strip with prohibited regions. Using the Ф-function technique, a ...

BOZEMAN, Mont.--(BUSINESS WIRE)--Analytics software leader FICO today announced the release of a true global mathematical optimization solver as part of FICO ® Xpress 9.2 Optimization. The global ...

Quantum computing has entered a bit of an awkward period. There have been clear demonstrations that we can successfully run quantum algorithms, but the qubit counts ...

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...

An optimization problem is one where you have to make the best decision (choose the best investments, minimize your company’s costs, find the class schedule with the fewest morning classes, or so on).

BOZEMAN, Mont., Sept. 1, 2023 — Analytics software leader FICO announced the release of a true global mathematical optimization solver as part of FICO Xpress 9.2 Optimization. The global optimization ...