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Enkhbat, R. (2022). Recent Advances in Sphere Packing Problems, In Y. Kochetov, A. Eremeev, O. Khamisov, & A. Rettieva (Eds.), Mathematical Optimization Theory and Operations Research(pp. 34-35). Springer.

has been cited by the following article:

• TITLE: Application of Sphere Packing Theory in Government Budget

  AUTHORS: Gantigmaa Ganlkhagva, Ankhbayar Chuluunbaatar, Tungalag Natsagdorj, Enkhbat Rentsen

  KEYWORDS: Sphere Packing, Optimization, Linear Programming, Fiscal Deficit, Government Budget

  JOURNAL NAME: iBusiness, Vol.15 No.4, December 29, 2023

  ABSTRACT: The sphere packing problem involves packing non-overlapping spheres with maximum volume into a convex set. The purpose of this work is to propose a novel application of the sphere packing problem to the government budget issue and to formulate a mathematical model for reducing the government budget deficit. In the numerical experiment, we used statistical data on the Mongolian economy from 2013 to 2022. We considered 19 types of revenues and 28 types of expenditures. The numerical experiment shows that with specific adjustments to current government revenue and expenditure, the government can decrease the budget deficit.