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Nonlinear Programming

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Traces and Emergence of Nonlinear Programming

Abstract

Linear programming deals with problems such as (see [ 4], [ 5]): to maximize a linear function

$$ \rm g{x}\equiv \sum {c_{i}x_{i}} \; \rm {of} \; n \;\rm{real \; variables} \; x_{1},...,x_{n} $$

(forming a vector x) constrained by m + n linear inequalities.

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Kuhn, H.W., Tucker, A.W. (2014). Nonlinear Programming. In: Giorgi, G., Kjeldsen, T. (eds) Traces and Emergence of Nonlinear Programming. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-0439-4_11

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