jxk

Writing Useless Git Commit Messages, no doubt

The cursor is still after "screen.png" and not on the next line.
The only explanation I have is that starting xscreenshot and executing xscreenshot is faster than the UI is refreshed.

How did you take screenshot before pressing return?

Long time ago I wrote down a lot of movies to watch. I was able to watch many, but that one is the oldest in my list that I couldn't find. Oh, and thanks for the pointer!

Les Diaboliques (1955)

Couldn't find it anywhere, so it's still at the top of the list.

The recline is needed for overnight flights. On short haul, it's unnecessary indeed. I think some airline have ordered seats without recline already.

https://en.wikipedia.org/wiki/Portal:Current_events

Only very short summaries of what happened, linked to Wikipedia article for more reading.

Thanks for saying something nice about Brussels I guess, but there is literally a Quick (ie, French Mcdonalds) in the Schengen terminal. And tons of fast food elsewhere in the city.

Sounds vaguely like Persian food

This is not the price to access a paper. This is the price to publish one paper.

It really depends on the country. France and Belgium, as you wrote. Germany, they expect a tip and look at you angry if you don't. Italy, they add a service charge at the end that is nowhete advertised. Turkey, they invent a random price at the end, complaints only taken if you're local. (I'm slightly exaggerating)

You want an answer?

So you've probably learned that if u is an eigenvector, then multiplying u by any scalar gives you another eigenvector with the same eigenvalue. That means that the set of all a*u where a is any scalar forms a 1-dimensional space (a line if this is a real vector space). This is an eigenspace of dimension one. The full definition of an eigenspace is as the set of all eigenvectors of a given eigenvalue. Now, if an eigenvalue has multiple independent eigenvectors, then the set of all eigenvectors for that eigenvalue is is still a linear space, but of dimension more than one. So for a real vector space, if an eigenvalue has two sets of independent eigenvectors, its eigenspace will be a 2-dimensional plane.

That's pretty much it.