WitrynaIf f () is log-concave, then ln f () is concave in its argument, whatever that may be. Now, this argument is a linear combination of the elements of the parameter vector h, so, again by established results, ln f () is also concave if viewed as a function of h alone. But then, the sum of concave functions is also concave. Witrynai): Combining this with (1) gives g(t) = logdet(X) + Xd i=1 log(1 + t i): Notice that the second order derivative of g(t) is 00g(t) = Xd i=1 2 i (1 + t i)2 0: Thus, g(t) is convex, so is f(X). We then know that f(X) is concave. Remark 1 In the above proof, we do not require V to be positive de nite.
ca.classical analysis and odes - What does log convexity mean ...
Witryna26 mar 2015 · In a book it is written that g ( x) = log x is strictly convex function. Though it has been said that g ( x) = log x is strictly convex function, comparing these two graph it seems to me g ( x) = log x is concave function . WitrynaA log-concave function is also quasi-concave. This follows from the fact that the logarithm is monotone implying that the superlevel setsof this function are convex. [1] … johns hopkins forms on demand
Some properties of log-convex function and applications for the ...
Witryna23 lut 2016 · 1. use the inequality of Jensen. – Dr. Sonnhard Graubner. Feb 22, 2016 at 16:24. A function f is concave is for any x 0, x 1 ∈ R 2 and t ∈ [ 0, 1], f ( ( 1 − t) x 0 + t … Witryna25 maj 2024 · log_sum_exp is convex, so its negative is concave. The problem basically is log ( (-log_sum_exp), which is log of a concave argument, which is concave and is allowed by CVX. That’s why I wrote that Appendix B provides a road map for how to formulate the problem in CVX, rana_sedghi (Rana) May 30, 2024, 12:10pm 8 Witryna1 cze 2024 · It can be shown nonetheless that minimizing the binary cross-entropy for the logistic regression is a convex problem and, as such, any minimum is a global one. Let us prove quickly it is indeed a convex problem! Several approaches could be used to prove that a function is convex. johns hopkins football twitter