QE: Find the local minimum of f(x)=x - k*Ln(x), for constant k>0. This is related to “interior point methods” in optimization algorithms (which I teach about in Math 560). It’s a way of saying “minimize f(x)=x for x>=0” without having a separate constraint like “x>=0”; it turns a minimum-is-at-an-endpoint kind of problem into a minimum-is-in-the-interior-of-the-interval problem. This is handy if you have more than one dimension and finding the cornerpoints would take too long.On the other hand, it turns a linear problem (with constraints) into a nonlinear problem, which for decades seemed like a bad trade-off to algorithm designers, but turns out it can be a good idea.
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QE: Find the local minimum of f(x)=x - k*Ln(x), for constant k>0. This is related to “interior point methods” in opti...