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For example, a container defined as std::vector<Shape*> does not work because Shape is not a class, but a template needing specialization. A container defined as std::vector<Shape<Circle>*> can only store Circles, not Squares. This is because each of the classes derived from the CRTP base class Shape is a unique type.
In C++, associative containers are a group of class templates in the standard library of the C++ programming language that implement ordered associative arrays. [1] Being templates , they can be used to store arbitrary elements, such as integers or custom classes.
Delayed evaluation solves this problem, and can be implemented in C++ by letting operator+ return an object of an auxiliary type, say VecSum, that represents the unevaluated sum of two Vecs, or a vector with a VecSum, etc. Larger expressions then effectively build expression trees that are evaluated only when assigned to an actual Vec variable ...
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 ...
Alternatively, the Object.keys() method combined with the for..of loop can be used for a less verbose way to iterate over the keys of an object. [ 20 ] const book = { name : "A Christmas Carol" , author : "Charles Dickens" }; for ( const key of Object . keys ( book )) { console . log ( `Key: ${ key } , Value: ${ book [ key ] } ` ); }
array implements a compile-time non-resizable array. vector implements an array with fast random access and an ability to automatically resize when appending elements. deque implements a double-ended queue with comparatively fast random access. list implements a doubly linked list. forward_list implements a singly linked list.
The variadic template feature of C++ was designed by Douglas Gregor and Jaakko Järvi [1] [2] and was later standardized in C++11. Prior to C++11, templates (classes and functions) could only take a fixed number of arguments, which had to be specified when a template was first declared.
Eigen is a high-level C++ library of template headers for linear algebra, matrix and vector operations, geometrical transformations, numerical solvers and related algorithms. . Eigen is open-source software licensed under the Mozilla Public License 2.0 since version 3.1