Season's Greetings 2012

Best wishes to all during this 2012 season and thank you for your patronage. Looking forward to doing more of the same in the new year.

Image made with Mathematica 7.0 for Mac OS X x86 (64-bit).

PDQ 6.0.1 is Released

As already described previously, the main purpose of Release 6.0.1 Build 121512 is improved compatibility and stability between PDQ and the R statistical environment. For example, many of the PDQ models, previously found in the ../examples/ directory, can now also be accessed via the demo() command in the R-console. Testing was carried out using R version 2.15.2 (2012-10-26).

Operationally, PDQ, in any of the supported languages, should appear cosmetically the same as Release 5.0; no additional programming required. Since the PDQ-R source can be compiled separately, this release will be of special interest to Microsoft Windows users.

If you're new to PDQ, here's a simple PDQ-R model you can paste directly into the R-console:

library(pdq)
# input parameters
arrivalRate <- 0.75
serviceRate <- 1.0
## Build and solve the PDQ model
Init("Single queue model")         # initialize PDQ
CreateOpen("Work", arrivalRate)    # open workflow
CreateNode("Server", CEN, FCFS)    # single server
SetDemand("Server", "Work", 1/serviceRate) # service time
Solve(CANON)                       # solve the model
Report()                           # tabulated output

Please see the online release notes for the download links and more detailed information, as well as the top-level README file in the distribution. Beyond that, check out the relevant books and training classes.

Merry Xmas from the PDQ Dev Team!