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Mathematics in CodeTyphon
Recently I have found interesting mathematical units, which well work with CodeTyphon. The set of units is called DMath-080, author: Dr Jean DEBORD, Laboratoire de Pharmacologie, Faculte de Medecine, Limoges (France).
In DMath-080 the huge quantity of functions of maximum mathematics is realized. For an example I have written the small project, in which the search of functional dependence two variable is carried out (polynomial regression) - Link

Thanks Sir
we will test and add this library to next Lab CT

PS: Excellent Library

Sternas, if the library 'DMath' will be converted into LCL - it will be a very great gift for engineers. Thanks in advance!

Sir
we finish 80% of samples porting and we continue...

pl_DMath (Public Library DMath)
we will be in upcoming Lab CT ver 5.40 Revision: 005321

Science is our first priority

CT 5.40 and module ‘Dmath’
On the basis of the project from CT 5.40 (CodeOcean = > Dmath = > Sample = > CurFit) the small application ‘GasHelper-Math (Regression Analysis)’ is written.
As against the base project the new application is more friendly to the user: an opportunity of import of the data from Excel, display of result of account in built - in the editor (RTF) = > Link
Realized calculations and possibilities (version 2.0 base):
• The polynomial regression (Gauss-Jordan method, method of singular value decomposition, to a polynomial of degree 5);
Note. For a polynomial of degree 1 is implemented linear regression.
• The exponential regression (up to 5 terms, except A0);
• Ability to import from Excel data source (not more than 10,000 lines);
• Formation and export to Excel some values normal (Laplace-Gauss) distribution (no more than 1000 pairs of values);
• Formation and export to Excel some values of the exponential distribution (no more than 1000 pairs of values).

Good morning/afternoon/evening!
Project: Spectral analysis of the distribution of energy resources (uses DMath) -> Link . The source is applied.
Assumption: Distribution of energy (gas and electricity) runs harmonically. Rather, it is not an assumption, but a statement because the gas transportation system (and also energy system) per day really makes two "inspiration" (morning and evening peaks) and two "exhalation".
Objective: operational (ie quickly and qualitatively) to perform daily analysis of the distribution of energy resources (gas or electricity) by monitoring hourly metering data.
Solution: Block hourly data (over several days) to transform from the amplitude-time representation in the spectral distribution to identify anomalous energy resource. Tool data – double Fast Fourier Transform.
Note. Anomalies: a stop in the distribution of energy resources; "exit" measuring device for the lower or upper limit of the measuring range; the influence of the "human factor".
Another note. The proposed method can be applied only where there are "law of large numbers" (statistics), ie meters, on the balance of which many consumers.
For more information about the physical sense - a small article on LiveJournal (in Russian) -> link .
PS. And of course - Happy New Year!

Thanks Sir
Happy New Year.