Natgrid Table of contents




About Natgrid
General background on interpolation methods
The interpolation method used in Natgrid
Learning how to use Natgrid

Learning how to use Natgrid

The programmatic interfaces
Learning guide

Natural Neighbor Linear Interpolation

Default usage
Smoothness and efficiency considerations

Natural neighbor nonlinear interpolation

Producing smooth plots
Controlling the influence of the estimated gradients

Scaling the input coordinates

Scale requirements for the input data
Automatic scaling


Reliability of extrapolation
How Natgrid does extrapolation
Controlling whether extrapolation is done

Efficiency considerations

Main time components
Detailed timing results
General conclusions
When time is a major concern

Some specialized control parameters

Negative values
Vertical orientation
Duplicate input coordinates

Computing aspects and slopes

Interpolating at a single point

How to do it

Outlying points and roughness estimates

Error handling

The error handling functions
Detailed description of the error functions
Error table

The algorithmic display tool

What the tool is and how to invoke it
What can be displayed
Where the plot will be displayed
Controlling what gets plotted
Changing colors
Changing sizes
Changing the plot view window
Plotting first and second order natural neighbors

Useful reference charts and tables

Table of control parameters
Overview of the procedures
Timing table
Error table


Creating your own executable
Example 1 -- linear interpolation
Example 2 -- nonlinear interpolation
Example 3 -- computing aspects and slopes
Example 4 -- extrapolation
Example 5 -- negative values disallowed
Example 6 -- single point mode
Example 7 -- outlying point
Example 8 -- using the algorithmic display tool
Example 9 -- displaying first and second order natural neighbors



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