Displays how to use the various interpolation functions in PTC Mathcad
Applicable to multiple disciplines
Performs curve fitting, regression, interpolation, and cubic spline
This worksheet helps to differentiate between regression and interpolation. Regression is a mathematical process that attempts to find a best-fit curve through a set of data. Interpolation allows you to estimate values between measured data points. Interpolation is necessary with data that is described by an extremely complex function or data that can't be described by a function at all.
This worksheet discusses in-depth:
Cubic spline interpolation
The interp Function
The two-dimensional case
Linear interpolation is used when each data point is connected to the next by a straight line. You can use the linterp function in PTC Mathcad to work with this type of interpolation. You can also use the lspline, pspline, and cspline functions in PTC Mathcad when solving for polynomial splines.
This worksheet includes multiple examples for how to use various interpolation functions within Mathcad and includes step by step notation, descriptions, data sets, images and graphs, and solutions to help aid you.