Web Reference: As opposed to continuous optimization, some or all of the variables used in a discrete optimization problem are restricted to be discrete variables —that is, to assume only a discrete set of values, such as the integers. Discrete-optimization models, such as these, are typically defined on discrete structures, including networks, graphs, and matrices. As a field of mathematics, discrete optimization is both broad and deep, and excel-lent reference books are available. Models with discrete variables are known as “ discrete optimization ” problems while models with continuous variables are called “continuous optimization” problems.
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