One of the most important things for any programmer to know is how to use data structures. This is especially true for those who want to work with the C++ Standard Template Library (STL). The STL provides a wide variety of data structures that can be used in many different ways.
While it is possible to learn all of the STL’s data structures, it is not always practical. That’s where this cheat sheet comes in. It provides a quick reference for the most common STL data structures and their associated functions.
C++ STL Algorithms Cheat Sheet (and Pairs, Lambda Expressions, and Iterators)
If you’re a C++ programmer, then you know the Standard Template Library (STL) is an essential part of your toolkit. But what if you’re new to STL? Or maybe you’ve been using it for awhile but want a quick reference?
Either way, we’ve got you covered with this handy cheat sheet.
The STL is a collection of C++ templates that provide common data structures and algorithms. It’s an important part of the language standard, and it’s widely used in the C++ community.
There are three main components to the STL: containers, iterators, and algorithms. Containers are data structures that hold other objects (called elements), while iterators are used to access the elements in a container. Algorithms are functions that operate on containers and their elements.
Here’s a quick rundown of some of the most popular STL containers:
std::vector – A dynamic array that can grow or shrink as needed. std::list – A doubly-linked list; each element has pointers to the previous and next element in the list.
std::map – An associative array; each element has a key and a value std::set – A collection of unique elements ordered by key
C++ Stl Algorithm Cheat Sheet Pdf
Algorithms are a fundamental part of computer science and are essential to the C++ Standard Template Library (STL). This cheat sheet introduces the most important STL algorithms, with clear explanations and example code for each one.
The STL algorithm library is a collection of general-purpose template functions that perform common algorithms on containers, such as sorting, searching, and transforming data.
The STL algorithms are efficient, well-tested, and portable.
This cheat sheet includes:
• A quick reference guide to the most important STL algorithms.
• Example code for each algorithm.
• Explanations of what the algorithm does and when you would use it.
Quick reference guide:
| Complexity | Description | Example | Code example |
—————————————————————————————————————————-|
std::sort() | O(N log N) | Sorts the elements in a range using a comparator function| | | sort(v.begin(), v.end()); |
—————————————————————————————————————————-|
std::stable_sort() | O(N log N) | Sorts the elements in a range using a comparator function| | stable_sort(v.begin(), v.end()); || preserve order of equal elements || || Useful for sorting data that will be displayed || to the user ||———————————————————————————————————————–||
std::partial_sort() | O(N log N) | Sorts the elements in a range using a comparator function|std::vector
begin() + 2 ,v .end()); Will sort first 2 smallest values into place leaving rest unsorted // Output: {1 1 3 4 5} ————————————————————————————————————————-|
std::nth_element() |– worst case — |– best case — nth_element(v .
begin(), v . begin ()+ k , v .
Credit: www.cheat-sheets.org
Q: What is an Stl Data Structure
An STL data structure is a container that stores data in a specific order. This order is typically determined by the programmer, but can be based on any number of factors such as size, type, or even value. The most common type of STL data structure is an array, but there are others such as vectors and lists.
The Most Common Type of Data Structure is an Array, Which is a Collection of Variables That are All Stored in the Same Location in Memory
One of the most common data structures is an array. An array is a collection of variables that are all stored in the same location in memory. Arrays can be used to store any type of data, including numerical data, text data, and even images.
Arrays are often used to store large amounts of data efficiently. They are also easy to search through and manipulate. However, arrays have some limitations.
For example, they can only store one type of data at a time. This means that if you want to store both numerical and text data in an array, you would need two separate arrays – one for each type of data.
Another limitation of arrays is that they are static structures.
This means that once an array has been created, its size cannot be changed. So if you need to add or remove elements from an array, you would need to create a new array with the desired size and then copy all the elements from the old array into the new one – a process known as resizing.
Despite their limitations, arrays are still very popular data structures due to their efficiency and versatility.
Other Types of Data Structures Include Linked Lists, Trees, And Hash Tables
Data structures are the building blocks of any computer program. They store data in a specific format that can be accessed quickly and easily. The most common data structures include arrays, linked lists, trees, and hash tables.
Arrays are the simplest type of data structure. They store data in a linear fashion, meaning each element is stored next to the previous one. Arrays are easy to traverse and access, but they are not very efficient when it comes to inserting or deleting elements.
Linked lists are another common type of data structure. Unlike arrays, linked lists do not store data in a linear fashion. Instead, each element is stored as a node that contains a reference to the next node in the list.
This makes linked lists more flexible than arrays, but also more difficult to traverse.
Trees are a type of data structure that is similar to linked lists. However, instead of each node pointing to the next node in the list, each node points to two other nodes (called child nodes).
This creates a hierarchical structure that is easy to search but difficult to update.
Hash tables are the most efficient type of data structure when it comes to insertion and deletion operations. Hash tables store data in an array-like fashion, but each element is assigned a unique key that can be used to quickly find it in the table.
Hash tables sacrifice some flexibility for speed, but they are often worth it for applications where performance is critical.
Q: What are Some of the Most Common Operations That Can Be Performed on an Stl Data Structure
There are a number of operations that can be performed on an STL data structure. These include:
-Inserting elements into the container
-Accessing elements in the container
-Removing elements from the container
-Searching for elements in the container
Conclusion
This blog post provides a cheat sheet for some of the most commonly used data structures in C++. It includes brief descriptions of each data structure, as well as example code snippets showing how to use them.
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