Abstract
Many optimization models describing real-life problems may include nonlinear terms in their objective function and constraints. Practically, it is often preferred to rewrite a nonlinear model in the form of an equivalent linear formulation or to obtain an appropriate linear approximation. Thus, in this chapter, we introduce some nonlinear functions that frequently appear in optimization problems and discuss how they can be represented in the form of linear functions.
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MirHassani, S.A., Hooshmand, F. (2019). Linearization of Nonlinear Functions. In: Methods and Models in Mathematical Programming. Springer, Cham. https://doi.org/10.1007/978-3-030-27045-2_4
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DOI: https://doi.org/10.1007/978-3-030-27045-2_4
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