A mixed integer linear optimization model differs from a nonlinear optimization model in that the mixed integer linear optimization model ________.

A) contains terms that cannot be written as constant times a variable
B) is considerably more difficult to solve than the nonlinear optimization model
C) uses equalities and inequalities to describe constraints in the business decision problem
D) contains only a subset of variables that are restricted to being integers while others are continuous

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terry wilson · Accepted Answer

Final Answer : D, Explanation :  A mixed integer linear optimization model contains only a subset of variables that are restricted to being integers, while others are continuous. Nonlinear models may involve functions that cannot be written as linear equations, while mixed integer linear optimization models use linear equations and inequalities to represent constraints. Mixed integer linear optimization models can be more challenging to solve than linear optimization models, but they are typically easier to solve than nonlinear models.

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