Nonlinear optimization is a process used to find the best solution to a problem where the objective function or the constraints are nonlinear, meaning they do not form a straight line when graphed. This type of optimization is crucial because many real-world problems, from engineering to finance, involve relationships that are not linear, requiring more complex methods to arrive at optimal solutions. Understanding nonlinear optimization helps in recognizing its historical significance and widespread applications across various fields.
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