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The flyweight pattern is useful when dealing with a large number of objects that share simple repeated elements which would use a large amount of memory if they were individually embedded. It is common to hold shared data in external data structures and pass it to the objects temporarily when they are used.
The observer pattern addresses the following problems: [2] A one-to-many dependency between objects should be defined without making the objects tightly coupled. When one object changes state, an open-ended number of dependent objects should be updated automatically. An object can notify multiple other objects.
UML class diagram. The abstract factory pattern in software engineering is a design pattern that provides a way to create families of related objects without imposing their concrete classes, by encapsulating a group of individual factories that have a common theme without specifying their concrete classes. [1]
Model–view–viewmodel (MVVM) is an architectural pattern in computer software that facilitates the separation of the development of a graphical user interface (GUI; the view)—be it via a markup language or GUI code—from the development of the business logic or back-end logic (the model) such that the view is not dependent upon any ...
The above code depicts the creation of an interface called IPerson and two implementations called Villager and CityPerson. Based on the type passed to the PersonFactory object, the original concrete object is returned as the interface IPerson. A factory method is just an addition to the PersonFactory class. It creates the object of the class ...
In computer science, a priority search tree is a tree data structure for storing points in two dimensions. It was originally introduced by Edward M. McCreight. [1] It is effectively an extension of the priority queue with the purpose of improving the search time from O(n) to O(s + log n) time, where n is the number of points in the tree and s is the number of points returned by the search.
Counting semaphores are equipped with two operations, historically denoted as P and V (see § Operation names for alternative names). Operation V increments the semaphore S, and operation P decrements it. The value of the semaphore S is the number of units of the resource that are
deadlock: the situation when each of at least two tasks is waiting for a lock that the other task holds. Unless something is done, the two tasks will wait forever. There is a tradeoff between decreasing lock overhead and decreasing lock contention when choosing the number of locks in synchronization. An important property of a lock is its ...