Several types of functions have been considered in the previous chapters. In all cases it has been assumed that the functions are continuous functions of some independent variable or variables. It has been further assumed that a mathematical expression or a computer algorithm exists that will respond with the value of the function when given a set of values of the independent variables. For a single variable this can be expressed as:
$${\rm{Given}}:f\left( x \right)for\,x_1 < x < x_2.$$
Extensive use has been made of the ability to take a derivative of such a function at any desired point within the allowed range of values of the independent variable. This has been used in such functions as newton() and nsolv() for obtaining the zeros or roots of functions.


Linear Interpolation Interpolation Function Interpolation Technique Hermite Interpolation Tabular Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science + Business Media B.V 2009

Personalised recommendations