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By Porter
View File LV muParser
LV-muParser provides a simple LabVIEW API for muParser fast math expression parser.
A modified version of muParser v2.2.5 is included. It will be installed to your "<LabVIEW>\resource" directory. I have added support for the "!" (not) operator as well as added ":" as a valid character for variable names.
You will find the muParser API in the functions palette under "Addons > LAVA > muParser"
muParser: http://beltoforion.de/article.php?a=muparser
LV-muParser source on github: https://github.com/rfporter/LV-muParser
Submitter Porter Submitted 08/25/2017 Category General LabVIEW Version 2015 License Type BSD (Most common)
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By AnnihilationSpectrum
Hi, I'm new in Labview. I work as an intern. I have a formula for fitting a spectrum. The left side of the spectrum is higher than the right side. There's a background on the left side.I need to lower the level of the left side to the right by applying this formula. It should be a Gaussian curve. I need help. Who can help me?
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By Porter
LV-muParser provides a simple LabVIEW API for muParser fast math expression parser.
A modified version of muParser v2.2.5 is included. It will be installed to your "<LabVIEW>\resource" directory. I have added support for the "!" (not) operator as well as added ":" as a valid character for variable names.
You will find the muParser API in the functions palette under "Addons > LAVA > muParser"
muParser: http://beltoforion.de/article.php?a=muparser
LV-muParser source on github: https://github.com/rfporter/LV-muParser
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By Oakromulo
After two years "leeching" content every now and then from the Lava community I think it's time to contribute a little bit.
Right now, I'm working on a project that involves lots of data mining operations through a neurofuzzy controller to predict future values from some inputs. For this reason, the code needs to be as optimized as possible. With that idea in mind I've tried to implement the same controller using both a Formula Node structure and Standard 1D Array Operators inside an inlined SubVI.
Well... the results have been impressive for me. I've thought the SubVI with the Formula Node would perform a little bit better than the other one with standard array operators. In fact, it was quite the opposite. The inlined SubVI was consistently around 26% faster.
Inlined Std SubVI
Formula Node SubVI
evalSugenoFnode.vi
evalSugenoInline.vi
perfComp.vi
PerfCompProject.zip
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