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</html><description>Description: Non-convex optimization refers to a type of optimization problem where the objective function has multiple local minima and maxima, making it difficult to identify the global optimum. Unlike convex optimization, where any local minimum is also a global minimum, in non-convex optimization, the topology of the function can be complex and present multiple valleys [&hellip;]</description></oembed>
