Natgrid Table of contents

Credits

Acknowledgments

Copyright

Trademark

Introduction

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

Extrapolation

Reliability of extrapolation

How Natgrid does extrapolation

Controlling whether extrapolation is done

Examples

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

Slowness

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

Definitions

Table of control parameters

Overview of the procedures

Timing table

Error table

Examples

Overview

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

References

Index