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 ...

The goal of this course is to investigate in-depth and to develop expert knowledge in the theory and algorithms for convex optimization. This course will provide a rigorous introduction to the rich ...

In recent years convex optimization has become a prominent technology in space applications, with a special emphasis on Entry, Descent, and Landing scenarios. In this talk we will follow the genesis ...

What if the next new mathematical discovery didn’t come from a human mind, but from an AI? Imagine a machine not just crunching numbers but proposing original solutions to problems that have baffled ...

Abstract: The vibration caused by rotor mass imbalance is a major source of maintenance problems in high-speed rotating machinery. To minimize the vibration by balancing under practical constraints ...

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 ...