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USTyler Streeter
 

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    1. COAlso, to summarize the answers below, it seems that there are two potential problems with constantly calling `reset()` (or recreating the distribution) before generating each sample: 1) it might decrease efficiency because any cached values within the distribution are lost, and 2) (even more serious, if true) it might produce an incorrect distribution.
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      1. POShould I call reset() on my C++ std random distribution to clear hidden state?
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    2. COIt seems that there are two use cases here: 1) binding an engine and distribution (the intended use), and 2) using multiple engines with one distribution (what I am doing here). I suppose I prefer to think of the distributions as simple stateless functions: you give them an engine, and they return a sample. But I understand the need to treat them as objects so they can cache values for efficiency. It would have been nice if the standard provided, for each distribution, both a stateless function to get just *one* sample, and an object for generating/caching *several* samples.
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      1. POShould I call reset() on my C++ std random distribution to clear hidden state?
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    3. CO@SteveJessop: Yes, I was implying that this may be a defect in the standard. Regarding the libc++ implementation of `normal_distribution::operator()` (http://llvm.org/svn/llvm-project/libcxx/trunk/include/random), fortunately, it looks like it always uses the supplied parameters (probably the intent of the standard, as you said). However, it will sometimes use the supplied generator and sometimes use a cached value based on the previously supplied generator (possibly *not* the intent of the standard). So `d(g)` is, in your words, basically useless. But `d(g,p)` is only half useless.
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