You can also use the withsol operator in a plot expression, for example, to combine solutions from different solver sequences. See withsol for more information.
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Select All (the default) to use all solutions in the data set.
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Select One to use one of the available solutions in a time-dependent, parametric, or eigenvalue solution from the list of solutions that appear underneath the Solutions list.
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Select Norm of difference to combine the data sets as abs(data1-data2), where data1 and data2 are the results of evaluating the expression in the two source data sets. For complex-valued data, this corresponds to the Euclidean norm of the difference.
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Select Explicit to combine the data sets using an explicit expression with the “operators” data1 and data2 in, for example, a plot node’s Expression field. This can be useful to compare two different dependent variables in two different data sets such as two solutions from two different models using the same geometry. For example, to plot the sum of the variable u from the first data set and the variable v from the second data set, times two, type 2*(data1(u)+data2(v)). The scope for data1 is the model to which the solution data set under Data 1 belongs, and similarly for data2.
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Select General to combine the data sets using a general expression in data1 and data2 that you type into the Expression field. The default, data1-data2, is identical to the Difference method. This method is useful for combining data sets with similar solution data (from a mesh convergence study, for example) using a method other than a difference, product, quotient, or sum.
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If you choose Difference, for example, an operation such as sin(u) for the Join data set is equivalent to sin(data1(u))-sin(data2(u)). If you want to evaluate or plot sin(u) as the operator applied to the difference itself, for example, choose Explicit and use sin(data1(u)-data2(u)) as the expression to evaluate or plot.
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