I have developed applications to communicate with various scientific instruments and chart the results. As someone mentioned, the speed of execution may be slightly reduced, but the speed of development and ease of modification makes a very powerful argument for Revolution. I have been in the circumstance of needing to change control algorithms in the middle of an experiment and being able to edit the relevant stack and have the new algorithm running within minutes, without even shutting down the program.

Ken Ray's web site has some interesting tips on manipulating image data and there is a good demonstration of using Charts in the User Contributions area of the Rev web site. For manipulating matrices etc, while the code may turn out longer than it's C equivalents, I would bet that it would be much easier to read & debug.

Cheers,
Sarah


On Friday, November 8, 2002, at 11:52 pm, Peter Lundh wrote:

Hi all-

This autumn I started my PhD on Colour Imaging Science at the Derby
University, UK. A requirement at the institute is knowledge of MatLab and
"C" - MatLab for modeling and C for compiling applications. MatLab I know,
so that's ok - but now I have to learn "C" on top of all the other things I
have to do.

So my question is the following: Could Revolution (since I'm already
familiar with it and like it!) be a substitute for "C" when developing
scientific applications? Typical needs would be the ability to read,
manipulate, display and output different types of image data, Possibility to
compute Matrix, Fourier and Polynomial algorithms etc.

I'm also curious to know if any other list members have developed scientific
applications with RunRev, and in particular - since it's in my line of
interest - Imaging, Psychophysical, or Colour related applications.

-Peter
--
Peter Lundh
E: [EMAIL PROTECTED]
UK

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