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Is there anyone here who has a good understanding of using approximation theory and parameter estimation techniques who can help me understand a chapter of a paper, and why certain techniques have been used. I have tried to use the given data, and matlabs optimization tools to follow the chapter through, but I cannot get a good fitting curve (at all). the method requires Levenberg marquardt to approximate some parameters, golden section search to improve them, and then a trisection search (which I think is golden section search???) to find more parameters based on the first ones found.

Thanks

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# Approximation theory

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