Description: procedures have only mean of 0 and variance for a random number to produce the mean E, D variance for the random number, as long as a few random E* D on it. Gaussian random process parameters or with the parameter is used to describe a normal distribution of the float table. In the implementation process, Mr. into the table (one-off), and you can repeatedly arbitrary implementation Gaussian random number generator proceedings. The use of C is to ensure commonality, if someone finds trouble, can be used to be a Class C, all these things into account Packaging. Also, if someone is interested, can you change the form of arbitrary distribution of continuous random number generator procedure is very simple changes, I will not be sacrificed as a result.
To Search:
- [suijishucansheng] - this document for the preparation of the
- [Linux0.01sourcecode.Rar] - Linux prototype, is the founder of Linux
- [haveaGaussianrandomprocess.Rar] - containing a Gaussian random occurrence
- [zhengtai] - normal graphic demonstration that the us
- [05041062] - 1. 20 (0-1) random number distribution m
- [VCcac] - Visual C common set numerical algorithm
- [bayes.c] - two normal mode Bayesian classification
- [random] - Have arbitrary mean and variance of norm
- [monter] - c prepared by the Monte Carlo algorithm,
- [c] - Gaussian (white) noise of the c program
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