C++ Standard Library 

Containers 
C standard library 
The Standard Template Library (STL) is a software library originally designed by Alexander Stepanov for the C++ programming language that influenced many parts of the C++ Standard Library. It provides four components called algorithms, containers, functions, and iterators.^{[1]}
The STL provides a set of common classes for C++, such as containers and associative arrays, that can be used with any builtin type and with any userdefined type that supports some elementary operations (such as copying and assignment). STL algorithms are independent of containers, which significantly reduces the complexity of the library.
The STL achieves its results through the use of templates. This approach provides compiletime polymorphism that is often more efficient than traditional runtime polymorphism. Modern C++ compilers are tuned to minimize abstraction penalties arising from heavy use of the STL.
The STL was created as the first library of generic algorithms and data structures for C++, with four ideas in mind: generic programming, abstractness without loss of efficiency, the Von Neumann computation model,^{[2]} and value semantics.
The STL and the C++ Standard Library are two distinct entities.^{[3]}
Main article: History of the Standard Template Library 
In November 1993 Alexander Stepanov presented a library based on generic programming to the ANSI/ISO committee for C++ standardization. The committee's response was overwhelmingly favorable and led to a request from Andrew Koenig for a formal proposal in time for the March 1994 meeting. The committee had several requests for changes and extensions and the committee members met with Stepanov and Meng Lee to help work out the details. The requirements for the most significant extension (associative containers) had to be shown to be consistent by fully implementing them, a task Stepanov delegated to David Musser. A proposal received final approval at the July 1994 ANSI/ISO committee meeting. Subsequently, the Stepanov and Lee document 17 was incorporated into the ANSI/ISO C++ draft standard (1, parts of clauses 17 through 27).
The prospects for early widespread dissemination of the STL were considerably improved with HewlettPackard's decision to make its implementation freely available on the Internet in August 1994. This implementation, developed by Stepanov, Lee, and Musser during the standardization process, became the basis of many implementations offered by compiler and library vendors today.
The STL contains sequence containers and associative containers. The containers are objects that store data. The standard sequence containers include vector
, deque
, and list
. The standard associative containers are set
, multiset
, map
, multimap
, hash_set
, hash_map
, hash_multiset
and hash_multimap
. There are also container adaptors queue
, priority_queue
, and stack
, that are containers with specific interface, using other containers as implementation.
Container  Description 

Simple containers  
pair  The pair container is a simple associative container consisting of a 2tuple of data elements or objects, called 'first' and 'second', in that fixed order. The STL 'pair' can be assigned, copied and compared. The array of objects allocated in a map or hash_map (described below) are of type 'pair' by default, where all the 'first' elements act as the unique keys, each associated with their 'second' value objects. 
Sequences (arrays/linked lists): ordered collections  
vector  a dynamic array, like C array (i.e., capable of random access) with the ability to resize itself automatically when inserting or erasing an object. Inserting an element to the back of the vector at the end takes amortized constant time. Removing the last element takes only constant time, because no resizing happens. Inserting and erasing at the beginning or in the middle is linear in time.
A specialization for type bool exists, which optimizes for space by storing bool values as bits. 
list  a doubly linked list; elements are not stored in contiguous memory. Opposite performance from a vector. Slow lookup and access (linear time), but once a position has been found, quick insertion and deletion (constant time). 
slist 
a singly linked list; elements are not stored in contiguous memory. Opposite performance from a vector. Slow lookup and access (linear time), but once a position has been found, quick insertion and deletion (constant time). It has slightly more efficient insertion and deletion, and uses less memory than a doubly linked list, but can only be iterated forwards. It is implemented in the C++ standard library as forward_list .

deque (doubleended queue)  a vector with insertion/erase at the beginning or end in amortized constant time, however lacking some guarantees on iterator validity after altering the deque. 
Container adaptors  
queue  Provides FIFO queue interface in terms of push /pop /front /back operations.
Any sequence supporting operations 
priority queue  Provides priority queue interface in terms of push/pop/top operations (the element with the highest priority is on top).
Any randomaccess sequence supporting operations Elements should additionally support comparison (to determine which element has a higher priority and should be popped first). 
stack  Provides LIFO stack interface in terms of push/pop/top operations (the lastinserted element is on top).
Any sequence supporting operations 
Associative containers: unordered collections  
set  a mathematical set; inserting/erasing elements in a set does not invalidate iterators pointing in the set. Provides set operations union, intersection, difference, symmetric difference and test of inclusion. Type of data must implement comparison operator < or custom comparator function must be specified; such comparison operator or comparator function must guarantee strict weak ordering, otherwise behavior is undefined. Typically implemented using a selfbalancing binary search tree.

multiset  same as a set, but allows duplicate elements (mathematical multiset). 
map  an associative array; allows mapping from one data item (a key) to another (a value). Type of key must implement comparison operator < or custom comparator function must be specified; such comparison operator or comparator function must guarantee strict weak ordering, otherwise behavior is undefined. Typically implemented using a selfbalancing binary search tree.

multimap  same as a map, but allows duplicate keys. 
hash_set hash_multiset hash_map hash_multimap 
similar to a set, multiset, map, or multimap, respectively, but implemented using a hash table; keys are not ordered, but a hash function must exist for the key type. These types were left out of the C++ standard; similar containers were standardized in C++11, but with different names (unordered_set and unordered_map ).

Other types of containers  
bitset  stores series of bits similar to a fixedsized vector of bools. Implements bitwise operations and lacks iterators. Not a sequence. Provides random access. 
valarray  Another array data type, intended for numerical use (especially to represent vectors and matrices); the C++ standard allows specific optimizations for this intended purpose. According to Josuttis, valarray was badly designed, by people "who left the [C++ standard] committee a long time before the standard was finished", and expression template libraries are to be preferred.^{[4]} A proposed rewrite of the valarray part of the standard in this vein was rejected, instead becoming a permission to implement it using expression template.^{[5]} 
The STL implements five different types of iterators. These are input iterators (that can only be used to read a sequence of values), output iterators (that can only be used to write a sequence of values), forward iterators (that can be read, written to, and move forward), bidirectional iterators (that are like forward iterators, but can also move backwards) and randomaccess iterators (that can move freely any number of steps in one operation).
A fundamental STL concept is a range which is a pair of iterators that designate the beginning and end of the computation, and most of the library's algorithmic templates that operate on data structures have interfaces that use ranges.^{[6]}
It is possible to have bidirectional iterators act like randomaccess iterators, so moving forward ten steps could be done by simply moving forward a step at a time a total of ten times. However, having distinct randomaccess iterators offers efficiency advantages. For example, a vector would have a randomaccess iterator, but a list only a bidirectional iterator.
Iterators are the major feature that allow the generality of the STL. For example, an algorithm to reverse a sequence can be implemented using bidirectional iterators, and then the same implementation can be used on lists, vectors and deques. Usercreated containers only have to provide an iterator that implements one of the five standard iterator interfaces, and all the algorithms provided in the STL can be used on the container.
This generality also comes at a price at times. For example, performing a search on an associative container such as a map or set can be much slower using iterators than by calling member functions offered by the container itself. This is because an associative container's methods can take advantage of knowledge of the internal structure, which is opaque to algorithms using iterators.
A large number of algorithms to perform activities such as searching and sorting are provided in the STL, each implemented to require a certain level of iterator (and therefore will work on any container that provides an interface by iterators). Searching algorithms like binary_search
and lower_bound
use binary search and like sorting algorithms require that the type of data must implement comparison operator <
or custom comparator function must be specified; such comparison operator or comparator function must guarantee strict weak ordering. Apart from these, algorithms are provided for making heap from a range of elements, generating lexicographically ordered permutations of a range of elements, merge sorted ranges and perform union, intersection, difference of sorted ranges.
The STL includes classes that overload the function call operator (operator()
). Instances of such classes are called functors or function objects. Functors allow the behavior of the associated function to be parameterized (e.g. through arguments passed to the functor's constructor) and can be used to keep associated perfunctor state information along with the function. Since both functors and function pointers can be invoked using the syntax of a function call, they are interchangeable as arguments to templates when the corresponding parameter only appears in function call contexts.
A particularly common type of functor is the predicate. For example, algorithms like find_if
take a unary predicate that operates on the elements of a sequence. Algorithms like sort, partial_sort, nth_element and all sorted containers use a binary predicate that must provide a strict weak ordering, that is, it must behave like a membership test on a transitive, nonreflexive and asymmetric binary relation. If none is supplied, these algorithms and containers use less by default, which in turn calls the lessthanoperator <.
The Quality of Implementation (QoI) of the C++ compiler has a large impact on usability of the STL (and templated code in general):
copy_if
algorithm was left out,^{[12]} though it has been added in C++11.^{[13]}