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   | + | * <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   | + | * 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  | + | |
| + | |||
| + | == Algorithmic sets and Notifications ==  | ||
| + | *   | ||
| + | |||
| + | * 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, 10:01 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