A New Bayesian Approach to Global Optimization on Parametrized Surfaces in R3

This work introduces a new Riemannian optimization method for registering open parameterized surfaces with a constrained global optimization approach. The proposed formulation leads to a rigorous theoretic foundation and guarantees the existence and the uniqueness of a global solution. We also propo...

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Veröffentlicht in:	Journal of optimization theory and applications 2024-09, Vol.202 (3), p.1077-1100
Hauptverfasser:	Fradi, Anis, Samir, Chafik, Adouani, Ines
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications of Mathematics Bayesian analysis Calculus of Variations and Optimal Control Optimization Clustering Engineering Gaussian process Global optimization Mathematics Mathematics and Statistics Monte Carlo simulation Operations Research/Decision Theory Optimization Parameterization Riemann manifold Theory of Computation
Online-Zugang:	Volltext
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