Abstract
In this chapter, we will review some theories which will be used in the following chapters, including optimization theory, game theory, and machine learning.
This chapter is organized as follows: We give some brief introductions of optimization theory in Sect. 2.1. In Sect. 2.2, we give the overview of game theory. In Sect. 2.3, the related machine learning technologies are presented.
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- 1.
There also exists a mixed type of optimization problems, which consist of both continuous and integer variables. However, some existing approaches can decompose this type of problems into two subproblems, which contain only continuous or integer variables. Therefore, in this section, we only introduce how to solve these two basic optimization problems.
- 2.
In this section, we only discuss the case where only the objective is DC. When the constraints are DC, we can use the Lagrange method to transform the problem to the one where only the objective is DC.
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Zhang, H., Song, L., Han, Z. (2020). Basic Theoretical Background. In: Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-33039-2_2
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DOI: https://doi.org/10.1007/978-3-030-33039-2_2
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