This chapter aims to address some of the fundamental issues that are often encountered in optimization problems, making them difficult to solve.
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Dec 10, 2015 · Check critical points and endpoints to see which gives the biggest/smallest value of the thing you want to optimize. Celebrate.
May 24, 2015 · Optimizing a website can be difficult, depending on the size and complexity of the site. If the site is small and simple, optimizing it may only ...
We show that according to this quantity, there is no distinction between optimization problems, and in this sense no problems are intrinsically harder than ...
Feb 5, 2022 · I suspect that discrete optimization is generally considered hard because solving a discrete problem means something different than solving a ...
This chapter aims to address some of the fundamental issues that are often encountered in optimization problems, making them difficult to solve.
Oct 30, 2023 · 1 Answer 1 ... is non-concave with multiple local maxima with respect to the vector θ (to see that the likelihood is non-concave let n=1, k=1 with ...
When the problems are large and complex, especially if they are either NP-complete or NP-hard, i.e., have no known polynomial- time solutions, the use of ...
Oct 28, 2022 · I am looking for suggestions for algorithms that could cope with a difficult optimization problem. Of course, if it is fast it is a big plus ...
This tutorial shows why optimization is difficult and why you need some knowledge in order to solve optimization problems efficiently. It is meant for people ...