The data being matched can be from a parsed text document, or you can use arrays
(one-dimensional array or a slice of a multi-dimensional array) produced from adapters
earlier in the simulation process.
The Data Matching adapter supports numerous functions, such as sum of the absolute
difference and sum of the squared difference.
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Data Sets. The target data set is always shown because it
is the data set against which the data are being matched. Typically, the target
data are experimental results, previous real-world observations, or simulation
results generated by a higher fidelity code. The remaining data sets are the
simulations that are compared to the target.
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Data Sources. Each data set is constructed from two data
sources: one for the X-values and one for the Y-values. These data sources can
be a defined interval, the contents of a parsed text document, or an array
produced by another adapter.
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Table. Each data set can be viewed in a table format. In
this view, you can change the data by changing the Lower
Bounds, Upper Bounds, and
Interval values.
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Results. You can select the functions to be calculated at
run time. These functions produce the results of the data matching.