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In computer programming, a collection is an abstract data type that is a grouping of items that can be used in a polymorphic way. Often, the items are of the same data type such as int or string . Sometimes the items derive from a common type; even deriving from the most general type of a programming language such as object or variant .
Some garbage collection systems using reference counting (like the one in CPython) use specific cycle-detecting algorithms to deal with this issue. [15] Another strategy is to use weak references for the "backpointers" which create cycles. Under reference counting, a weak reference is similar to a weak reference under a tracing garbage collector.
The collections grid is a model to discuss items in a collection in terms of their uniqueness, and the amount of care or stewardship they attract. [16] For example, rare books and local history materials are held in few libraries and attract much care as the jewels of a collection, whereas books and DVDs are held in many libraries and do not ...
The above strategy requires explicit wrapping at each call to a function that is to be memoized. In those languages that allow closures, memoization can be effected implicitly via a functor factory that returns a wrapped memoized function object in a decorator pattern. In pseudocode, this can be expressed as follows:
In computer programming, the strategy pattern (also known as the policy pattern) is a behavioral software design pattern that enables selecting an algorithm at runtime. Instead of implementing a single algorithm directly, code receives runtime instructions as to which in a family of algorithms to use.
Branching, in version control and software configuration management, is the duplication of an object under version control (such as a source code file or a directory tree).
The software was created at the Ritsumeikan University, japan to test different game AI strategies like monte carlo tree search for playing video games with Artificial Intelligence. The system has much in common with the OpenAI gym platform which is also a game based environment for developing AI bots.
A risk management plan or risk mitigation strategy is the section of the policy identifying potential hazards for the collection based on the region in which the collection is located, including fires, earthquakes, criminal activity, or flooding, in addition to damages from repairs, building failure, improper collections care, and neglect. [34]