MathComputational mathOptimization

Least squares method

Perfect approximation

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Is it possible for any dataset to find an approximant, the cost function of which will be 0? If so, how many unknowns will the system have to find it?

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Can not be found

Can be found. There will be as many variables as there are points in the set.

Can be found. There will be one less variable than the points in the set.

Can be found. There will be one more variable than the points in the set.

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