Synopsis
fit a polynomial of specified order using the least squares method
Input Ports
|
in_field |
Grid+Node_Data+Scalar (must be 1D) |
|
ui_parent |
user interface parent object |
Output Ports
|
out_coeff |
double[order+1] |
|
out_fld |
Grid+Node_Data |
|
out_obj |
output renderable object |
Description
least_squares fits a polynomial of a given order to an input data set. The input consist of (x, y) pairs, where the X's are the 1D mesh coordinates of the nodes, and the Y's are the node_data values. These points are fit to a polynomial of the desired degree. Two outputs are produced; out_coeff is an array containing the n+1 coefficients of the resulting polynomial, and out_fld is the fit Y values computed by evaluating the polynomial at each X point.
Input Ports
in_field
Grid+Node_Data+Scalar. 1D field containing data to fit.
ui_parent
A port to connect to a user interface object that contains the module's widgets. By default, it is connected to the default user interface object in the application in which the macro is instanced. (This default connection is not drawn.)
Parameters
data component
UIradioBoxLabel. Which component of the data to fit to the polynomial.
polynom order
UIslider. Order of the polynomial to fit to the data--1=linear, 2=quadratic, and so on.
Output Ports
out_coeff
double[order+1]. The coefficients of the resulting polynomial, in order from least significant (constant term) to most significant (highest power).
out_fld
Mesh+Node_Data. Node_Data values are the polynomial evaluated at the points on the mesh.
out_obj
Renderable object corresponding to out_fld.
Example
Not available.
File
v/modules.v
See also
Not applicable.