distribution

问题 I have this Java application which uses a MySql Database which I want to distribute. My concern is that, to distribute this application I'll need to make the assumption that the target system has both JRE and MySql Server installed. Is there any way I could bundle my application with the JRE and the MySql server so that if they aren't already present on the system, my app can install them and then run the application? 回答1: You CAN bundle a JRE with a Java application, provided that you follow

问题 Say I want to distribute y items to x buckets evenly. If x is a multiple of y this distribution will be even, if not I can end up with 0 items in each bucket. For ex: For ex: I have 3 buckets and I want to distribute 2 items each. Since doing the division (2/3) will lead to 0 items per bucket. How can I achieve, a distribution of 1 , 1 , 0 ? 回答1: This type of thinking should work: package sandbox; public class Sandbox { public static void main(String[] args) { int numBuckets = 12; int

问题 Does anyone know of a reliable, accurate library to compute the multivariate normal (MVN) CDF in Java? I'm looking for something like MATLAB's mvncdf function. I need to be able to do it for dimensions of up to 10 or more. Most statistics/math libraries don't have this functionality. Being able to compute the log probability is a plus. From this post, there doesn't seem to be a free implementation mentioned for some other languages. While a straight-java implementation would rock, I would

问题 I am trying to implement a Metropolis-Hastings algorithm in Cuda. For this algorithm, I need to be able to generate many uniform random numbers with varying range. Therefore, I would like to have a function called runif(min, max) that returns a uniformly distributed number in this range. This function has to be called multiple times inside another function that actually implements the algorithm. Based on this post, I tried to put the code shown there into a function (see below). If I

问题 Yesterday I saw a Website of a Company which has a test version of their iPhone App downloadable for everybody from their website. Since I am an Apple Developer, I know that you need the UDID of the target device to declare it as a test device, because you have to code sign it to the device. When I have downloaded the file, it was a normal App file from Xcode. I dragged it to iTunes and from there to my Device, and what do you suppose happened? Yes; it worked on my Device!! ;-) I have not

问题 I want to convert fitted distribution to frequency. import numpy as np import matplotlib.pyplot as plt from scipy import stats %matplotlib notebook # sample data generation np.random.seed(42) data = sorted(stats.lognorm.rvs(s=0.5, loc=1, scale=1000, size=1000)) # fit lognormal distribution shape, loc, scale = stats.lognorm.fit(data, loc=0) pdf_lognorm = stats.lognorm.pdf(data, shape, loc, scale) fig, ax = plt.subplots(figsize=(8, 4)) ax.hist(data, bins='auto', density=True) ax.plot(data, pdf

问题 I'm looking to generate a binomial-esque distribution. I want a binomial distribution but I want it centred around zero (I know this doesn't make much sense with respect to the definition of binomial distributions but still, this is my goal.) The only way I have found of doing this in python is: def zeroed_binomial(n,p,size=None): return numpy.random.binomial(n,p,size) - n*p Is there a real name for this distribution? Does this code actually give me what I want (and how can I tell)? Is there

问题 A 3rd party has developed an App for private use in our enterprise environment. Now its come time to distribute it and they don't want to send us their code. I have a feeling this will cause an issue because the distribution profile and certificate would have to be sent to them compromising our private key which we couldn't allow. Is this correct or can this be done without compromising our private key. Edit: as a side note, I'm ok with sending them a private key if it only is useable per App

问题 I have developed an iPhone App and I want to test this final distribution build before submitting it to the App Store for review. Is there any safe way to make this app to run on a device? 回答1: You might want to also check out Craig Hockenberry's "The final test" blog post. Craig gives a method of testing where the only difference between what you test and what you submit is the signing identity. 回答2: No, you can't. This makes me a little nuts, too. If you set up an ad-hoc distribution

问题 EDIT: My question is: rand()%N is considered very bad, whereas the use of integer arithmetic is considered superior, but I cannot see the difference between the two. People always mention: low bits are not random in rand()%N , rand()%N is very predictable, you can use it for games but not for cryptography Can someone explain if any of these points are the case here and how to see that? The idea of the non-randomness of the lower bits is something that should make the PE of the two cases that