Mathematical Methods for Optimization
Local minima refer to points in a function where the value is lower than that of its neighboring points, indicating a potential minimum in the vicinity. These points are important in optimization as they represent values that can be used to evaluate the performance of an algorithm. Understanding local minima is crucial for techniques that aim to find optimal solutions, especially when the landscape of the function is complex.
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