Curve and Surface Fitting Functions With Matlab

Released on by J. Braselton
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  • Curve and Surface Fitting Functions With Matlab Book Detail

  • Author : J. Braselton
  • Release Date : 2014-09-10
  • Publisher : CreateSpace
  • Genre : Mathematics
  • Pages : 282
  • ISBN 13 : 9781502332707
  • File Size : 59,59 MB
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Curve and Surface Fitting Functions With Matlab by J. Braselton PDF Summary

Book Description: Curve Fitting Toolbox provides graphical tools and command-line functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing. After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives. This book explains through examples all Curve Fitting Toolbox functions

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Curve and Surface Fitting With Matlab

Curve and Surface Fitting With Matlab

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MATLAB Curve Fitting Toolbox provides graphical tools and command-line functions for fitting curves and surfaces to data. The toolbox lets you perform explorato