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will see if i can come up with a pr
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A surrogate (machine) learning model replaces some of the calls to the true objective function by learning from past calls, and delivering an approximate ranking of objective function values.
beniz updated
9 years ago
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I calculated single site Bethe by old and new solver with same parameters. Results for self-energy are shown in picuture.
 is seeded with a single number and then goes on to initialize the per-thread RNG states. So, we "just" need to use the a seed variable in simulationInfo and make sure it gets loaded from t…
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I’m using Clementine on Linux and when i select shulle all, it is very unrandom, same songs and artists are playing very often.
As i understand Clementine is using some integrated library which is fi…
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See recent files in notes/ .
I'm comparing data.generators, Incanter, and bigml/sampling, at least.
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Hi everyone,
I would like to point out something that could either be called a feature or bug. For a science analysis I want to use the deterministic nature of the Mersenne Twister algorithm in orde…
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Hi, I'm want to use _rng.js_ library in a project on both client and server side.
On the client side I generated 100k random numbers without trouble, but when I try to run the same code server side, …
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This has been failing for at least a day:
``` julia
JULIA test/linalg
* linalg
exception on 1: ERROR: assertion failed: |b - :(*(apd,\(capd,b)))| 1.4432899320127035e-12
in error at error.j…
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I need to seriously cut down on the number of calls I'm making to `std::rand()`, and perhaps replace with a maybe faster [library](http://www.boost.org/doc/libs/1_40_0/libs/random/random-generators.ht…