Convex Maximization Formulation of General Sphere Packing Problem
We consider a general sphere packing problem which is to pack nonoverlapping spheres (balls) with the maximum volume into a convex set. This problem has important applications in science and technology. We prove that this problem is equivalent to the convex maximization problem which belongs to a class of global optimization. We derive necessary and sufficient conditions for inscribing a finite number of balls into a convex compact set. In two dimensional case, the sphere packing problem is a classical circle packing problem. We show that 200 years old Malfatti’s problem  is a particular case of the circle packing problem. We also survey existing algorithms for solving the circle packing problems as well as their industrial applications.
Rentsen Enkhbat, Dr. Sci. (Phys.–Math.), Prof., Institute of Mathematics, National University of Mongolia, 4, Baga toiruu, Sukhbaatar district, Ulaanbaatar, Mongolia; tel.: 976-99278403, e-mail: email@example.com
Enkhbat R. Convex Maximization Formulation of General Sphere Packing Problem. The Bulletin of Irkutsk State University. Series Mathematics, 2020, vol. 31, pp. 142-149. https://doi.org/10.26516/1997-7670.2020.31.142
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