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The paper presents experiences from two empirical studies in which the Method for Method Configuration was developed and validated.
Move Method Refactoring (MMR) refers to moving a method from one class to the class in which the method is used the most often.
Both the evaluation and the impact of the changes are discussed based on a case study, in which the method was applied in a company that distributes electricity.
Handmade rugs woven by the tapestry method, often described as the Aubusson type, for the French town in which the method was perfected, have a flat or slightly ribbed surface instead of pile.
The formulation is a follow up to four recent research papers in which the method was successfully applied to errors-in-variables models.
We show various examples of these cases in which the method yields compact solutions, requiring fewer basis functions than the Nyström method, for the same accuracy.
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Discovering how these methods can be combined to meet the objective of devising primary outcome indices and measures of the major components requires psychometric analysis of large sample data in which the methods have been applied alongside the conventional severity rating scales.
This phenomenon can be explained by looking at the ways in which the methods work.
Mathematical optimization is one of the fields in which the methods of fixed point theory are widely used.
Finally, our method in discussing the uniqueness of our inverse problem is different from those inverse memory kernel problems, in which the methods on the basis of the analytic semigroup theory were used.
It is of course rather difficult to compare two different studies in which the methods used to evaluate blood vessel density were not identical.
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