Activity Coefficient Model Fitting for Binary Mixtures
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Robby Ching (2024). Activity Coefficient Model Fitting for Binary Mixtures (https://www.mathworks.com/matlabcentral/fileexchange/90302-activity-coefficient-model-fitting-for-binary-mixtures), MATLAB Central File Exchange. Recuperado .
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Inspiración para: NRTL(Non Random two liquids) Activity Coefficient
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Versión | Publicado | Notas de la versión | |
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1.0.8 | Added the following models:
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1.0.7 | Updated the index of RMS, now base on the number of data points from the VLE data. |
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1.0.6 | Fixed the SSE function. In the past versions, the evaluation works as: SSE(SSE(function)) since lsqnonlin already evaluates the SSE of the function. This has been fixed in this update. |
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1.0.5 | Syntax 2 using polyfit is now the open code instead of mvregress for margules.m and van laar.m so no need to download the statistics and machine learning toolbox. |
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1.0.4 | Update 2 on the Wilson, Van Laar and Margules Models |
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1.0.3 | Updated the documentation for Wilson, Van Laar and Margules. |
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1.0.2 | -Added a UNIQUAC model. All the models so far are still for isothermal conditions.
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1.0.1 | The only data to be loaded are x1, y1 and P. |
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1.0.0 |