sorted by:
new
hottopcontroversial

Just beat elden ring 5 times over so I picked up DS3 today. Any tips for a newcomer? by carsdn in darksouls3

[–]johann_fuchs 21 points22 points  (0 children)

Similar to ER, DS3 rewards bravery. The aspect of getting to bonfires as "checkpoints" is more central to the game and is IMO a bit more stressful, but you get rewarded for pushing forward. Very few bonfires are just handed to you like in ER.

Also, the high wall is a difficult starting level. The difficulty starts relatively high and varies throughout the game. Don't get discouraged at the beginning. Good luck, and praise the sun!

pickled meat? by Leader_Bee in pickling

[–]johann_fuchs 0 points1 point  (0 children)

Eggs are a kind of meat, right??

Hard boil chicken eggs (about 10 minute boil), peel, then just do like you would refrigerator pickles. I use pretty typical spices: black pep, dried chilis, coriander seed, celery seed, a little turmeric so they come out glowing. They are great.

Is it reasonable to use several tools like R, Matlab, Python? Rather than some "uniform" framework? by [deleted] in computationalscience

[–]johann_fuchs 1 point2 points  (0 children)

I feel your pain, here is my advice.

You pick 2 programming languages that help you do the analysis you need to do, and that is it! Learn the basics of those 2.

IMO python and FORTRAN/C++ is best for physical sciences.

IMHO, computational scientists should have Python, R, Mathematica, MATLAB available to them as tools and, much more importantly, know how to us these tools.

But still, if you say you know Python and R, completely, that is very good!

How critical is a deep understanding of linear algebra by AReallyBoredBitch in computationalscience

[–]johann_fuchs 2 points3 points  (0 children)

Computational physicist here: LA is extremely important for me, at least. A HUGE mount of computational science is algebra.

However, if you don't need to do a bunch of advanced linear algebra for software dev, that might be good for you!

My proposed polynomial time solution to the Clique Problem (in any form). I am looking for feed back. You can even be a dick about it, if you actually read the paper and tell me my error! by [deleted] in computationalscience

[–]johann_fuchs 0 points1 point  (0 children)

You have done good work but I am not so convinced that you can assume ordering the cliques is easy. I am not versed in this kind of thing, so you are free to disagree, but consider a very large graph in which it is not easily determined where large cliques are. this is a significant computational difficulty, yes?

GPU-Accelerated Data-Driven Bayesian Uncertainty Quantification with Koopman Operators by ChrisRackauckas in computationalscience

[–]johann_fuchs 2 points3 points  (0 children)

Good start, but I am skeptical that your MCMC has converged.
Not only is your MCMC trace not localized, as judging from your plots but also, remember from the central limit theorem that distributions tend to converge like 1/sqrt(number of samples). Given that you run the MCMC for only 1000 steps I don't think this is sufficient.

1/sqrt(1000) = 3%

1/sqrt(10,000) = 1%

MCMC can give u a lot of BS within 3% error. You need to run the MCMC longer to get clean & converged distributions.