feflow_user_manual_classic.pdf

Model providing the best fit when optimized from its

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model providing the best fit when optimized from its default initial parameter values will be automatically selected among all implemented models and a new data-plot view window will be created. Several optimization problems created in this man- ner can be open simultaneously. This can be useful to compare the fitting performance of different models for the same data. The number of data sets within a particular optimi- zation problem can be subsequently modified using the ‘Import Data’ and ‘Close’ commands accessible in the ‘Optimizer’ menu or via the associated toolbar buttons ( and , respectively). Figure 9.3 Example data input file for FE-LM².
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NMU ö rëÉêÛë j~åì~ä J m~êí f VK cbcilt qççäë VKOKR `çåíêçä Çá~äçÖ The Model selection and parameter control dialog shows a model selection box and value controls for all parameters of the currently selected model. Upper and lower bounds are shown for each parameter value and can be user-edited. The value of a parameter can be either edited directly or adjusted within the current bounds using the respective slider. Parameter values at their respective lower or upper bound are displayed in red. As a measure of the current fit, the root of the mean squared residual ( rms ) is shown above the ‘Optimize’ button. Pushing the ‘Optimize’ button initiates a parameter optimization starting from the current parameter values. Parameters marked as ‘Fixed’ in their respective check box are not optimized. The num- ber of iterations needed to converge at the local opti- mum will be displayed below the button. The mathematical definition of the current fitting model can be displayed by pushing the model-equation button next to the model selection box in the dialog. When multiple data sets are imported into a single optimization problem, the Model selection and param- eter control dialog is extended so as to include a row of radio buttons for each parameter. The radio buttons are used to control parameter sharing between models. Figure 9.4 Control dialog for single data set.
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cbcilt SKM `ä~ëëáÅ ö NMV VKO cbJij² Each selected radio button maps the parameter on the left in the button row to the value control at the bottom of the button row. Sharing is accomplished by mapping multiple parameters to the same value control. Each parameter is initially mapped to its own value control. For reference, the parameters mapped to a particular value control are highlighted while the respective slider is moved. VKOKS a~í~Jéäçí îáÉï The data-plot view initially shows all points of a data set together with a curve representing the best fit found by optimizing all implemented parametric mod- els from their respective default initial parameter val- Figure 9.5 Control dialog for two data sets. Radio buttons have been set so as to share parameters ‘ A ’ and ‘ n between both fitting models.
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NNM ö rëÉêÛë j~åì~ä J m~êí f VK cbcilt qççäë ues.Thin horizontal bars are drawn one standard deviation above and below each data point. Thick hori-
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