➤ How can a nonlinear objective be converted so it fits a linear programming framework?
You can linearize some nonlinear terms by adding auxiliary variables and constraints. Methods include substitution, McCormick envelopes for bilinear terms, piecewise-linear approximation, or binary variables with big‑M constraints. These approaches create a mixed-integer linear program or an approximation and usually increase model size and solve time.
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