Heteronomial Modeling For Empirical Curve Fitting

Heteronomials are mutlivariate curve fitting models where each variable is raised to some power, such as:
Y2 = a + b*X12.3 + c*X20.5 + d*X33.1
Y1.5 = a + b*X11.3 + c*X22.5 + d*X30.7
Y = a + b*X13 + c*X2 + d*X31.7


DO NOT UNPACK THE ZIP FILES MENTIONED BELOW IN A COMMON FOLDER!
Partition Heteronomial Modeling (MATLAB) click here to download the ZIP file
Best Heteronomial Modeling (Python) click here to download the ZIP file
Best Rational Heteronomial Modeling (MATLAB) click here to download the ZIP file
Best Rational Heteronomial Modeling (Python) click here to download the ZIP file
Optimized Rational Heteronomial Modeling (MATLAB) click here to download the ZIP file
Cross-Product Heteronomial Modeling (MATLAB) click here to download the ZIP file

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Copyright (c) Namir Shammas. All rights reserved.