similar to: Speex ARM4 patch

Alexander Chemeris a ?crit : > Ok, if I comment out inclusion of "filters_arm4.h" (or comment out its > only overridden function - normalize16()) it works fine. > > Also it works fine if I use -O0 for compilation. Specifying -O1 or -O2 lead > to segfault (if "filters_arm4.h" is included, sure). OK, so either I screwed up the alignment/constraints in the

I have found that filter_mem2 fixed point does not match the inlined assembly version for arm4. Looking closer there appears to be an off by one error. It occurs when setting the value of mem at the end of the inner loop. In the C fixed point version this is done with a subtract. In the arm4 version instead of multiplying den by yi, it is multipled by nyi and then an add is done. This

Hi, I run this code to get the power of the test for modified bartlett's test..but I'm not really sure that my coding is right.. #normal distribution unequal variance asim<-5000 pv<-rep(NA,asim) for(i in 1:asim) {print(i) set.seed(i) n1<-20 n2<-20 n3<-20 mu<-0 sd1<-sqrt(25) sd2<-sqrt(50) sd3<-sqrt(100) g1<-rnorm(n1,mu,sd1) g2<-rnorm(n2,mu,sd2)

Greetings. For R gurus this may be a no brainer, but I could not find pointers to efficient computation of this beast in past help files. Background - I wish to implement a Cramer-von Mises type test statistic which involves double sums of max(X_i,Y_j) where X and Y are vectors of differing length. I am currently using ifelse pointwise in a vector, but have a nagging suspicion that there is a

I'm observing that base::sum(x, na.rm=FALSE) for typeof(x) == "double" is much more time consuming when there are missing values versus when there are not. I'm observing this on both Window and Linux, but it's quite surprising to me. Currently, my main suspect is settings in on how R was built. The second suspect is my brain. I hope that someone can clarify the below

To Whom It May Concern: I have an R package and want to put this package be part of R-project and available to anyone who is interested in. The R package is created for my paper, titled "Acceptance Sampling Plans from Truncated Life Tests Based on the Birnbaum-Saunders Distribution for Percentiles". The paper has been accepted by Communications in Statistics: Simulation and