search for: imaginari

Dear All, Hans Borchers and I have been trying to compute "exact" derivatives in R using the idea of complex-step derivatives that Hans has proposed. This is a really, really cool idea. It gives "exact" derivatives with only a minimal effort (same as that involved in computing first-order forward-difference derivative). Unfortunately, we cannot implement this in R as the

Needing a < , > comparison for imaginary numbers

Full_Name: Pierre Legendre Version: 2.1.1 OS: Mac OSX 10.4.3 Submission from: (NULL) (132.204.120.81) I am reporting the mis-behaviour of the function 'eigen' in 'base', for the following input matrix: A <- matrix(c(2,3,4,-1,3,1,1,-2,0),3,3) eigen(A) I obtain the following results, which are incorrect for eigenvalues and eigenvectors 2 and 3 (incorrect imaginary portions):

Hi, The imaginary unit is gone in the 'text' column in the returned data frame from getParseData(), e.g. in the example below, perhaps the text should be 1i instead of 1: > p=parse(text='1i') > getParseData(p) line1 col1 line2 col2 id parent token terminal text 1 1 1 1 2 1 2 NUM_CONST TRUE 1 2 1 1 1 2 2 0 expr

............ -- Executing [s at incoming-pstn-line:5] VoiceMail("DAHDI/4-1", "100 at default,u") in new stack -- <DAHDI/4-1> Playing '/var/spool/asterisk/voicemail/default/100/unavail.gsm' (language 'en') .......... But there is no /var/spool/asterisk/voicemail/default/100/unavail.gsm', indeed no unavail.gsm on the machine. [asterisk at

Hi all, Surprisingly (at least to me), `as.complex(NA_real_)` results in `complex(real = NA_real_, imaginary = 0)` rather than `NA_complex_`. It seems to me that this goes against the docs of `as.complex()`, which say this in the Details section: "Up to R versions 3.2.x, all forms of NA and NaN were coerced to a complex NA, i.e., the NA_complex_ constant, for which both the real and

1. This is an imaginary data on monthly outcomes of 2 years and I want to forecast the outcome for next 12 months of next year. data Data1; input Yr Jan Feb Mar Apr May June July Aug Sept Oct Nov Dec; datalines; 2008 12 13 12 14 13 12 11 15 10 12 12 12 2009 12 13 12 14 13 12 11 15 10 12 12 12 ; run; I converted the above data into the below format to use it in R as it was giving error: asking

Hello all, I want to park calls using the callpark application, but I don't want to hear the saydigit when the called is parked. To resolve this issue I use the following instruction in the dialplan: exten => _8XX,1,ParkAndAnnounce(|1000|local/10 at default|) Because local/10 at default is not defined to a peer I get a lot of warnings. :( Is there a better way to resolve this

I have mad a for loop to try and output values which i have named spectrum. However, I cannot seem to get the answers to come out as a vector which is what i need. They come out as separate values which I am then unable to join together. Thank you for(f in seq(0,0.5,0.1)) { sigmasqaured <- 1 i = complex(real = 0, imaginary = 1) spectrum <-

I have a a simple function that generates a time series square wave: genseq <- function() { x <- numeric(4*365) s <- seq(as.Date("2005-01-01"), as.Date("2008-12-31"), by="month") ob <- as.vector(s[c(10,22,34,46)] - as.Date("2005-01-01")) oe <- as.vector(s[c(11,23,35,47)] - as.Date("2005-01-01")) for(.index in 1:length(ob))

The IEEE floating point standard allows for negative zero, but it's hard to know that you have one in R. One reliable test is to take the reciprocal. For example, > y <- 0 > 1/y [1] Inf > y <- -y > 1/y [1] -Inf The other day I came across one in complex numbers, and it took me a while to figure out that negative zero was what was happening: > x <-

Hi all, I recently created a RAID-Z1 pool out of a set of 7 SCSI disks, using the following command: # zpool create magicant raidz c5t0d0 c5t1d0 c5t2d0 c5t3d0 c5t4d0 c5t5d0 c5t6d0 It worked fine, but I was slightly confused by the size yield (99 GB vs the 116 GB I had on my other RAID-Z1 pool of same-sized disks). I thought one of the disks might have been to blame, so I tried swapping it out

All, Here is the second revision of the proposal for a complex type in LLVM. It clarifies a few things that came up during discussion and adds additional operations for complex types. -David Proposal to Support Complex Operations in LLVM ---------------------------------------------- Revision History v1 - Initial proposal [1] v2 - This proposal - Added complex of

Hey all, I volunteered to put together a proposal regard complex in LLVM. Consider the following to be a strawman meant to spark discussion. It's based on real-world experience with complex but is not expected to cover all use-cases. Proposal to Support Complex Operations in LLVM ---------------------------------------------- Abstract Several vendors and individuals have proposed

I started out with a real vector b and then obtained its Fourier transform thus B<-fft(b) When I did F<-fft(B, inv=TRUE) I expected that F would be the inverse FT of B but it still has imaginary components. Should the inverse FT not be purely real? Am I missing something? Thanks, Peter.

Hi, I'd like to run regsubsets for model selection by exhaustive search. I have a list with 20 potential explanatory variables, which represent the real and the imaginary parts of 10 "kinds" of complex numbers: x <- list(r1=r1, r2=r2, r3=r3, ..., r10=r10, i1=i1, i2=i2, i3=i3, ..., i10=i10) Is there an easy way to constrain the model search so that "r"s and

Dear R-team, I've been using R for a while and decided to contribute some bug fixes. The first bug I tried to solve was https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=15411 I have attached a patch with the fix to the bug and would love to hear comments about its quality. Also, while testing this bug I found another related issue: > format(complex(real=10, imaginary=4), digits = 1);

Anybody knows what functions can be used to calculate variance/covariance with complex numbers? var and cov don't seem to work: > a 1 V1 0.00810014+0.00169366i V2 0.00813054+0.00158251i V3 0.00805489+0.00163295i V4 0.00809141+0.00159533i V5 0.00813976+0.00161850i > var(a) 1 1 1.141556e-09 Warning message: In var(a) : imaginary parts discarded in

Krzysztof Parzyszek via llvm-dev <llvm-dev at lists.llvm.org> writes: > Examples of complex instructions? Sorry, I was referring specifically to this statement: >> Without intrinsics it may be hard to use such instructions especially >> because of the arithmetic simplifications. I was asking the question in the context of intrinsics vs. a first-class complex type.

> On Dec 13, 2016, at 11:08 AM, Rui Ueyama <ruiu at google.com> wrote: > > On Tue, Dec 13, 2016 at 11:02 AM, Mehdi Amini <mehdi.amini at apple.com <mailto:mehdi.amini at apple.com>> wrote: > >> On Dec 13, 2016, at 10:06 AM, Rui Ueyama <ruiu at google.com <mailto:ruiu at google.com>> wrote: >> >> On Tue, Dec 13, 2016 at 9:28 AM, Mehdi