Nonlinear programming (NLP) is a branch of mathematical optimization that deals with the optimization of a nonlinear objective function, subject to constraints that may also be nonlinear. In contrast to linear programming, where both the objective function and the constraints are linear (i.e., they can be expressed as a linear combination of variables), nonlinear programming allows for more complex relationships between the variables.

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