Curve fitting Definition and 59 Threads

Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints. Curve fitting can involve either interpolation, where an exact fit to the data is required, or smoothing, in which a "smooth" function is constructed that approximately fits the data. A related topic is regression analysis, which focuses more on questions of statistical inference such as how much uncertainty is present in a curve that is fit to data observed with random errors. Fitted curves can be used as an aid for data visualization, to infer values of a function where no data are available, and to summarize the relationships among two or more variables. Extrapolation refers to the use of a fitted curve beyond the range of the observed data, and is subject to a degree of uncertainty since it may reflect the method used to construct the curve as much as it reflects the observed data.

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  1. H

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  2. C

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  3. T

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  4. M

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    hi, there my question is let's suppose we have the magnetization (M) versus the applied field (H) as M(H,T)= \sum _{n=1}^{N} W(x_i ) (x_i ) Lang (H.A.x_{i}/T) here 'A' is a constant 'T' is the temperature of system Lang(x) is the Langevin function coth(x)-1/x , My problem is how to...
  5. M

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  6. H_man

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  7. D

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  8. R

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  9. T

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