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math.OC2026

Mixtures Closest to a Given Measure: A Semidefinite Programming Approach

Srećko ĐuraÅ¡inović, Srećko Đurašinović, Jean-Bernard Lasserre +1

Mixture models, such as Gaussian mixture models, are widely used in machine learning to represent complex data distributions. A key challenge, especially in high-dimensional settin…

math.OC2026★ 1 cited

Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization

Jared Miller, Matteo Tacchi, Didier Henrion +1

This paper proposes an algorithm to calculate the maximal probability of unsafety with respect to trajectories of a stochastic process and a hazard set. The unsafe probability esti…

math.OC2026

Safe and wind-aware synchronous path planning for a fleet of fixed-wing constant speed aircraft

Maël Feurgard, Gautier Hattenberger, Nicolas Durand +1

Path planning for multiple unmanned aerial vehicles is a difficult task, and even more for a fleet of fixed-wing aircraft. One specific case is the transition to, or between, forma…