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is an option for functions such as FindFit and NDSolve which gives a function to be minimized in generating results.
Find a "best" fit for data using different norms:
The default is to find the best least-squares fit:
Use the -norm instead:
Use the 1-norm:
Use a 2-norm for estimating local error in solving an ODE:
Use an -norm:
The error measure makes a difference in the solution quality:
FindFit NDSolve DistanceFunction Minimize NMinimize
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