👉 In mathematics, a sub-convex set is a subset of a convex set that does not contain any extreme points (points on the boundary). It means that all points within this set are closer to each other than they are at its boundaries. This property helps in understanding and solving various optimization problems involving convex sets.
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What is the definition of Subconvolute? 🙋
👉 In mathematics, a "subconvolute" is a class of functions that are close to being convex but not necessarily differentiable at their extrema. These functions can be used in optimization problems and have applications in signal processing and image analysis. For example, consider the function f(x) = x^3 - 2x + 1 on the interval [0, 1]. This function is concave up at x=0, but it also has a point of inflection at x
