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Line 21: * If more than one parameter is present, i.e. <math>m > 1</math>, then it is often referred to as multiparametric programming problem<ref>Gal, Tomas; Nedoma, Josef (1972) Multiparametric Linear Programming. Management Science, 18 (7), 406–422.</ref> * If integer variables are present, then the problem is referred to as (multi)parametric mixed-integer programming problem<ref>Dua, Vivek; Pistikopoulos, Efstratios N. (1999) Algorithms for the Solution of Multiparametric Mixed-Integer Nonlinear Optimization Problems. Industrial & Engineering Chemistry Research, 38 (10), 3976–3987.</ref> * If constraints are [[Affine transformation\|affine]], then additional classifications depending to nature of the objective function in (multi)parametric (mixed-integer) linear, quadratic and nonlinear programming problems is performed. Note that this generally assumes the constraints to be affine.<ref>Pistikopoulos, Efstratios N.; Georgiadis, Michael C.; Dua, Vivek Multi-parametric programming: Theory, algorithms and applications. Weinheim, Wiley-VCH, 2007.</ref> ==References==

Parametric programming: Difference between revisions