Algorithmic Sets

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* So if a new predicate is needed only a new implementation of Predicate<T> needs to be implemented.
 
* So if a new predicate is needed only a new implementation of Predicate<T> needs to be implemented.
 
* These Predicate<T> implementations can introduce configurable properties, for a more flexible solution.
 
* These Predicate<T> implementations can introduce configurable properties, for a more flexible solution.
* <b>Definition:</b> An algorithmic set is defined by a predicate.
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* <b>Definition:</b> An algorithmic set is defined by its predicate.
  
 
== Performance considerations ==
 
== Performance considerations ==
* This approach is only reasonable if all tested elements are in memory, querying them from a database would be a suboptimal.
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* This approach is only reasonable if all tested elements are in memory, querying them from a database would be at least suboptimal.
* If the amount of different
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== Algorithmic sets and Notifications ==
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*
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* If the amount of different algorithmic sets is relatively low (this is often the case), it makes sense to group

Version vom 8. November 2014, 11:01 Uhr

Definition Algorithmic Set

  • We want to define an algorithmic set via a Predicate deciding if an element is part of the set or not.
  • In java we could use the functional interface Predicate<T>
public interface Predicate<T>{
       // If test returns true, we consider the element be part of the algorithmic set.
       boolean test(T element);
}

  • Such a simple definition allows a polymorphic approach for defining set predicates.
  • So if a new predicate is needed only a new implementation of Predicate<T> needs to be implemented.
  • These Predicate<T> implementations can introduce configurable properties, for a more flexible solution.
  • Definition: An algorithmic set is defined by its predicate.

Performance considerations

  • This approach is only reasonable if all tested elements are in memory, querying them from a database would be at least suboptimal.


Algorithmic sets and Notifications

  • If the amount of different algorithmic sets is relatively low (this is often the case), it makes sense to group
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