Dear all,
This is a tough one, and I'm aware it may not be directly related to Scilab, so sorry if it is off-topic. I post it anyway because it could lead in a future to a toolbox. I'm looking for general methods for obtaining analytic models for empirical data such as a variable which depends on two independent variables (i.e., a double entry table). The aim isn't just to interpolate but to find a sort of analytical law that approximates the data. This has two steps: 1) Finding an analytic function, of two independent variables with as few parameters as possible that can likely approximate the data. 2) Optimizing the parameters for the best approximation to the data 2) Is relatively easy by least-squares or other optimization techniques. It is 1) the difficult part. Any help as to literature or known mehods will be welcome Federico Miyara --- El software de antivirus Avast ha analizado este correo electrónico en busca de virus. https://www.avast.com/antivirus
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