
"5 min" or "5 mins"? | Learn English - Preply
5 mins" would be appropriate unless you are expressing it as an adjective then use the singular form, as in a five minute break or the ten minute mark. However, in scientific writing, the abbreviation for the …
How is $\min\ {X,Y\}$ defined for $X, Y$ random variables?
Dec 24, 2015 · No, $M:=\min\ {X,Y\}$ is a random variable itself that "records" the lowest value of $X,Y$. You do not compare the probabilities but the values of the random variables.
notation - What does "min" mean? - Mathematics Stack Exchange
Jun 14, 2017 · Min means Minimum. So yes, it's a function that, taken two elements, gives you the minimum of those.
What does min max in optimization problems mean?
Sep 11, 2020 · What if the places are swapped, or some other combination? $$\max_B \min_A$$ Finally, can the min-max prefix appear for any sort of optimization problem, i.e. quadratic …
Find local max, min, concavity, and inflection points
Find local max, min, concavity, and inflection points Ask Question Asked 11 years, 1 month ago Modified 10 years, 11 months ago
What does arg min max mean? - Mathematics Stack Exchange
Oct 16, 2015 · The space between "arg" and "min" is confusing; it would better be written "argmin". What the operator argmin does, when applied to a function, is pick out the point in the function's domain at …
max and min versus sup and inf - Mathematics Stack Exchange
What is the difference between max, min and sup, inf?
How to covert min min problem to linear programming problem?
How to covert min min problem to linear programming problem? Ask Question Asked 9 years, 4 months ago Modified 2 years, 9 months ago
How to practice English Speaking: 14 Effective exercises (plus ... - Preply
Oct 27, 2025 · The key to improving your English? Practice, of course! Try these 14 English speaking practice exercises to build your confidence.
Linearization Question for max-min|x| Bi-level Optimization Problem
Nov 24, 2025 · The standard linearization of min |x| uses auxiliary variable z with constraints z ≥ x and z ≥ -x, which makes z equal to |x| at optimality. But in my problem, there's an outer max layer. For max …