Also, you can depict the supplied constraints as linear inequalities or equations. The objective functionality and constraints together constitute the mathematical model of the trouble, enabling you to changeover from a narrative description to the quantifiable optimization obstacle.
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Mixed-integer linear programming issues are solved with additional intricate and computationally intensive strategies just like the department-and-certain technique, which makes use of linear programming under the hood.
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You should utilize the variables x and y to generate other PuLP objects that characterize linear expressions and constraints:
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