Linear Programming in Python
Optimization deals with selecting the best option among a number of possible choices that are feasible or don't violate constraints. Python can be used to optimize parameters in a model to best fit data, increase profitability of a potential engineering design, or meet some other type of objective that can be described mathematically with variables and equations.
Mathematical optimization problems may include equality constraints, inequality constraints, objective functions, algebraic equations, differential equations, continuous variables, discrete or integer variables, etc.
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