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Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable) Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat suitability in various discharge scenarios in a simulated river reach. ...

SCNURS - Side Cut Non-Uniform Residual Stress measurement method for plates, - is a destructive RS measurement method developed in Moscow, Russia and later in Bristol, UK. The method is specifically designed for the measurement of highly non-uniform RS fields, including discontinuities, in plates. This project collects all codes which implement forward and inverse solution to the RS problem. The codes are in modern Fortran with OpenMP. The codes are distributed under 2-clause BSD...

FORTRAN Unit Test Framework, written in FORTRAN 95. So that all FORTRAN features can be tested. FRUIT has assertion, fixture, setup, teardown, report, spec, driver generation. Rake used as build tool. Tutorials at http://fortranxunit.wiki.sourceforge.net The core testing part is in FORTRAN, this part can be used independent of the Ruby codes.

...This package provides a BSD licensed Fortran 2008 module with erf(z), where z is a complex argument. The calculation is based on calculating w(z), the Faddeyeva (plasma dispersion) function. Two algorithms are implemented: TOMS 680 and 916, http://www.netlib.org/toms/. The simple test program calculates values in the Abramowitz, Stegun.