Unformatted text preview: constants of the original nonlinear equation. Describe how true “nonlinear regression” works Ch 10. Interpolation Describe the Basic Idea and motivation Compare and contrast with Curve Fitting Explain situations where interpolation would be more useful than curve fitting and vice versa Use Newton Divided Difference and describe how it is derived Use Lagrange Interpolation and compare/constrast to Newton Divided Difference Describe the advantages/disadvantages of use single interpolating polynomials of arbitrary degree versus using piecewise polynomials Describe how linear and cubic spline interpolation is derived and its key properties Use linear and/or cubic spline interpolation for a given data set to create an interpolating equation and evaluate the function at an arbitrary point...
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 Spring '06
 Klaus
 Numerical Analysis, Regression Analysis, Newton Raphson, curve fitting explain

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