The visibility has nothing to do with your position on earth. The reason people travelled to the other side of the globe to see this was to enhance the precision of measurements. A lot of effort went into positioning scientists and synchronizing clocks across continents. Think of it as the Apollo Project of the 18th century. You can read about ist e.g. in "Mason and Dixon" by Thomas Pynchon (with a few liberties taken by the author).

Almost all humans are killed, and the last few do not reproduce. The story ist told by the last survivor. He ist told that the first colonists are now considered criminals, but on the other hand, earth ist now civilized, so everything is finde.

About thirty years ago, a german writer called Herbert Rosendorfer wrote a book about "Columbus discovering the europeans". It tells the story of aliens colonizing earth like the europeans did in america. Some ten years later there is only one human being left living in a reservation. Highly recommended. My favorite quote: "Only few cardinals expected the aliens to be roman catholics."

This is rather simplified. SSE2 already supports the most common vector opetations. A fourfold vector operation is not always 4x faster because of pipelining, and in many cases, memory access is the bottleneck. Also, providing builds with different optimizations is not a big problem. I guess that the testing effort is the bigger problem.

Diffcult to distinguish these two, both are next to Australia.

At least it looked correct in the input area.

It's Einstürzende Neubauten.

You should look up mutex attributes, in particular priority inheritance. Also, I think you are experiencing the "thundering herd" effect. Maybe the leader/follower pattern could be effective here.

How about "The Pub Formerly Known as The Hobbit"?

I hope you are aware that the whole concept of different human "races" has no scientific base whatsoever.

well, give a link to a book describing this concept and how it works in practice. Or some other publication with meaningful benchmarks for real-world examples.

Could you please quantify "better than good enough"? As far as I know, bayesian models need to work with the logarithm of probabilities to get meaningful results for anything other than toy examples. Apart from that, are there any peer-reviewed papers that show a performance win with this concept for a real-world example?

angband?

You are missing that this is a 2-dimensional problem. Both wind velocity and boat velocity are 2d-vectors. What is required is that the projection of the boat velocity in the direction of the wind is smaller than the wind. The magnitude of the boat velocity can always be greater as that of the wind as long as it does not travel in the same direction as the wind blows.

It is unknown whether the Wiener Schnitzel was invented in Vienna or originates from a similar dish from northern Italy.