Data fitting methods are mostly taught to construct a function with two data features, hence the function which is generated only one variable, $f(x)$. Are there any methods to construct a function with more than two variables (e.g.: $g(x,y,...)$) in numerical methods from experiment data?
2026-03-29 10:26:43.1774780003
Construct a function from data experiment with more than one variable
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