Some Linearization Methods

Daniel P. Loucks ()
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Daniel P. Loucks: Cornell University

Chapter Chapter 9 in Public Systems Modeling, 2022, pp 111-120 from Springer

Abstract: Abstract Because linear programming algorithms are so efficient and in widespread use, together with the limitations of non-linear optimization solvers applied to large models, modelers faced wanting to solve very large models often attempt to linearize the non-linear terms in their models. This chapter introduces various approaches for accomplishing this, often using binary (0, 1) variables.

Date: 2022
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DOI: 10.1007/978-3-030-93986-1_9

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