search for: oscillatori

Greetings, I have the following? Problem: Given k (=10) discrete independent random variables X_i with n_i (= 5 to 20) values each,compute quantiles of the distribution of the sum X = X_1+...+X_k. Here X has n=n_1 x n_2 ... n_k distinct values which is too large to list them all together with their probabilities. I tried several approaches: (A) Convolution: each X_j is approximated with

I was pleased to find integrate() using the quadpack routines "dqags" and "dqagi". However, I would also like to have the routine "dqawoe" included. This routine is summarized as follows... c***keywords automatic integrator, special-purpose, c integrand with oscillatory cos or sin factor, c clenshaw-curtis method, (end point) singularities,

Dear All, I am given some noisy data which (by naked eye) appears to be oscillating first but finally growing. Is there any statistical set (I mean something different from e.g. a linear fit, which would not be convincing at all in my case) to detect growth (possibly without relying on any data fitting)? Many thanks Lorenzo

>> ------------------------ >> R & R, any comments? >> ------------------------ At present the parser makes the decision on what characters can go into symbol names based on isalpha(c). If someone will send me a function - say isidchar(c) which returns 1 for characters which can be in identifiers and 0 otherwise, I will replace the current test with that. Ross

Dear list, [cross-posting from Stack Overflow where this question has remained unanswered for two weeks] I'd like to perform a numerical integration in one dimension, I = int_a^b f(x) dx where the integrand f: x in IR -> f(x) in IR^p is vector-valued. integrate() only allows scalar integrands, thus I would need to call it many (p=200 typically) times, which sounds suboptimal. The