2276	 Computer Methods for Sampling from the Exponential and Normal Distributions	 Various methods are known for transforming uniformly distributed random numbers into exponentially and normally distributed quantities. The most efficient ones are compared in terms of memory requirements and speed with some new algorithms. A number of procedures convert Taylor series expansions directly into sampling steps an approach which may be used for sampling from any continuous distribution. For the exponential distribution a definite recommendation can be made whereas in the case of the normal distribution there remains a choice between slower and shorter algorithms and faster but space consuming methods. random numbers pseudorandom normal distribution exponential distribution exponential distribution simulation numerical analysis
