What is the difference between constrained and unconstrained optimization in nonlinear programming?
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Constrained optimization is the process with the help of which any kind of objective function can be easily optimized by taking into account some variables that are present as constants of the variables. It usually requires a mathematical approach like linear programming. The constraint can be hard or soft in nature depending on the complexities it has been involved in.
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