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| R2012a Documentation → Model-Based Calibration Toolbox | |
Learn more about Model-Based Calibration Toolbox |
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A region is an area that defines locally where to extrapolate before globally extrapolating over the entire table.
For example, consider filling a large table that has twenty breakpoints for each normalizer by extrapolation. Two problems arise:
To have meaningful results, you need to set values at a large number of operating points.
To set values at a large number of operating points takes a long time.
To overcome this problem, you can
Each region is filled by extrapolation in turn. Then the rest of the table is filled by extrapolation. The advantage of using regions is that you can have more meaningful results by setting values for a smaller number of operating points.

Cells are colored
Yellow if they form part of the extrapolation mask
Blue if they are part of a region
Yellow and blue with rounded corners if they are part of the extrapolation mask and part of a region
Click and drag to highlight the rectangle of cells in your table.
To define the region, click
in the toolbar, or right-click
and select Extrapolation Regions > Add Selection, or select the
menu option Tables > Extrapolation
Regions > Add Selection.
The cells in the region are colored blue.
To clear the region, click
in the toolbar, or right-click
and select Extrapolation Regions > Remove Selection, or select
the menu option Tables > Extrapolation Regions > Remove
Selection.
You can clear all regions at once by selecting Clear Regions from the Extrapolation Regions submenu.
![]() | Choosing a Table Value at a Specific Operating Point | Point-by-Point Model Tradeoffs | ![]() |

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