Interpolation and approximation
Engineers and scientists are often faced with the problem of finding a function that matches a set of given data values.
This problem is encountered, for example, when trying to fit a curve to a set of experimental values.
MasterAllRound offers selected interpolation methods and approximation functions, thus enabling you to solve your
problem of constructing a function from a number of pairs of data values quickly and without pain.
Interpolation
The interpolating function exactly fits a given set of data values and represents the data between these as adequately as possible.
The following interpolation methods are incorporated in MasterAllRound:
 Direct polynomial interpolation
 Newton's divided difference interpolation formula
 Lagrange's polynomial
 Quadratic spline
 Cubic spline
Approximation
For approximation, the polynomial function interpolates the data points as closely as possible (but maybe not exactly).
The following least squares fit solutions are incorporated in MasterAllRound:
 Linear polynomial
 Quadratic polynomial
 Cubic polynomial
 Ndegree polynomial
 Maximal degree polynomial
Features of MasterAllRound
 The input is a text file containing the data pairs in 2 columns
 The resulting interpolation (and approximation, respectively) polynomials are stored as text a file
 The computed functions are transfered to the plot module
 A buttonclick brings you to the plot module for a graphical display of your solutions
