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In object-oriented programming, the iterator pattern is a design pattern in which an iterator is used to traverse a container and access the container's elements. The iterator pattern decouples algorithms from containers; in some cases, algorithms are necessarily container-specific and thus cannot be decoupled.
Java programming language includes the HashSet, HashMap, LinkedHashSet, and LinkedHashMap generic collections. [54] Python's built-in dict implements a hash table in the form of a type. [55] Ruby's built-in Hash uses the open addressing model from Ruby 2.4 onwards. [56] Rust programming language includes HashMap, HashSet as part of the Rust ...
For unordered access as defined in the java.util.Map interface, the java.util.concurrent.ConcurrentHashMap implements java.util.concurrent.ConcurrentMap. [2] The mechanism is a hash access to a hash table with lists of entries, each entry holding a key, a value, the hash, and a next reference.
For example, the iterator method is supposed to return an Iterator object, and the pull-one method is supposed to produce and return the next value if possible, or return the sentinel value IterationEnd if no more values could be produced. The following example shows an equivalent iteration over a collection using explicit iterators:
Class methods – belong to the class as a whole and have access to only class variables and inputs from the procedure call; Instance methods – belong to individual objects, and have access to instance variables for the specific object they are called on, inputs, and class variables
Linear probing is a component of open addressing schemes for using a hash table to solve the dictionary problem.In the dictionary problem, a data structure should maintain a collection of key–value pairs subject to operations that insert or delete pairs from the collection or that search for the value associated with a given key.
Quadratic probing is an open addressing scheme in computer programming for resolving hash collisions in hash tables.Quadratic probing operates by taking the original hash index and adding successive values of an arbitrary quadratic polynomial until an open slot is found.
If an equation can be put into the form f(x) = x, and a solution x is an attractive fixed point of the function f, then one may begin with a point x 1 in the basin of attraction of x, and let x n+1 = f(x n) for n ≥ 1, and the sequence {x n} n ≥ 1 will converge to the solution x.