STL Overview
The Standard Template Library (STL) is one of C++'s greatest strengths, providing a comprehensive collection of efficient, well-tested data structures and algorithms. Instead of implementing common data structures from scratch, STL provides ready-to-use containers like vectors, lists, maps, and sets, along with powerful algorithms that work with them. This library is used in virtually every C++ program and is essential for productive C++ development.
Introduction to Standard Template Library
The Standard Template Library (STL) is a powerful set of C++ template classes that provide common data structures and algorithms. STL consists of three main components: containers, iterators, and algorithms. Containers store data, iterators provide access to container elements, and algorithms operate on data through iterators.
STL containers are template classes that can store any type of data. They handle memory management automatically, provide efficient operations, and are thoroughly tested and optimized. Algorithms are template functions that work with iterators, making them work with any container that provides appropriate iterators.
Understanding STL is crucial for modern C++ programming. It eliminates the need to implement common data structures and algorithms, reduces bugs, and provides highly optimized code. Most C++ programs use STL extensively, making it essential knowledge for any C++ programmer.
STL Components
- Containers: Data structures that store objects
- Iterators: Objects that point to elements in containers
- Algorithms: Functions that operate on containers
1. Containers
Sequence Containers
Store elements in a linear sequence:
- vector: Dynamic array
- list: Doubly linked list
- deque: Double-ended queue
- array: Fixed-size array (C++11)
- forward_list: Singly linked list (C++11)
Associative Containers
Store elements in sorted order:
- set: Unique elements, sorted
- map: Key-value pairs, sorted by key
- multiset: Allows duplicate elements
- multimap: Allows duplicate keys
Unordered Containers (C++11)
Hash-based containers:
- unordered_set: Unique elements, hashed
- unordered_map: Key-value pairs, hashed
- unordered_multiset: Allows duplicates
- unordered_multimap: Allows duplicate keys
2. Vector
#include <iostream>
#include <vector>
using namespace std;
int main() {
// Declaration
vector<int> vec;
// Adding elements
vec.push_back(10);
vec.push_back(20);
vec.push_back(30);
// Accessing elements
cout << vec[0] << endl; // 10
cout << vec.at(1) << endl; // 20
cout << vec.front() << endl; // 10
cout << vec.back() << endl; // 30
// Size
cout << vec.size() << endl;
cout << vec.empty() << endl;
// Iterating
for (int i = 0; i < vec.size(); i++) {
cout << vec[i] << " ";
}
cout << endl;
// Using iterators
for (auto it = vec.begin(); it != vec.end(); it++) {
cout << *it << " ";
}
cout << endl;
// Range-based for loop
for (int element : vec) {
cout << element << " ";
}
cout << endl;
return 0;
}3. List
#include <iostream>
#include <list>
using namespace std;
int main() {
list<int> myList;
// Adding elements
myList.push_back(10);
myList.push_front(5);
myList.push_back(20);
// Iterating
for (auto it = myList.begin(); it != myList.end(); it++) {
cout << *it << " ";
}
cout << endl;
// Removing elements
myList.pop_front();
myList.pop_back();
return 0;
}4. Map
#include <iostream>
#include <map>
using namespace std;
int main() {
map<string, int> studentMarks;
// Inserting elements
studentMarks["Alice"] = 90;
studentMarks["Bob"] = 85;
studentMarks["Charlie"] = 95;
// Accessing elements
cout << studentMarks["Alice"] << endl;
// Checking if key exists
if (studentMarks.find("Bob") != studentMarks.end()) {
cout << "Found!" << endl;
}
// Iterating
for (auto it = studentMarks.begin(); it != studentMarks.end(); it++) {
cout << it->first << ": " << it->second << endl;
}
// Using range-based for loop
for (auto& pair : studentMarks) {
cout << pair.first << ": " << pair.second << endl;
}
return 0;
}5. Set
#include <iostream>
#include <set>
using namespace std;
int main() {
set<int> mySet;
// Inserting elements
mySet.insert(30);
mySet.insert(10);
mySet.insert(20);
mySet.insert(10); // Duplicate, ignored
// Iterating (automatically sorted)
for (int element : mySet) {
cout << element << " "; // 10 20 30
}
cout << endl;
// Finding elements
if (mySet.find(20) != mySet.end()) {
cout << "Found!" << endl;
}
// Removing elements
mySet.erase(20);
return 0;
}6. Iterators
Iterators provide a way to access elements in containers:
#include <iostream>
#include <vector>
using namespace std;
int main() {
vector<int> vec = {10, 20, 30, 40, 50};
// Iterator types
vector<int>::iterator it;
// begin() and end()
for (it = vec.begin(); it != vec.end(); it++) {
cout << *it << " ";
}
cout << endl;
// Reverse iterators
for (auto it = vec.rbegin(); it != vec.rend(); it++) {
cout << *it << " ";
}
cout << endl;
// Const iterators
vector<int>::const_iterator cit;
for (cit = vec.cbegin(); cit != vec.cend(); cit++) {
cout << *cit << " ";
}
cout << endl;
return 0;
}7. Algorithms
STL provides many algorithms in <algorithm> header:
#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
int main() {
vector<int> vec = {5, 2, 8, 1, 9, 3};
// Sorting
sort(vec.begin(), vec.end());
// Reversing
reverse(vec.begin(), vec.end());
// Finding
auto it = find(vec.begin(), vec.end(), 5);
if (it != vec.end()) {
cout << "Found at position: " << distance(vec.begin(), it) << endl;
}
// Counting
int count = count(vec.begin(), vec.end(), 3);
cout << "Count of 3: " << count << endl;
// Maximum and minimum
auto maxIt = max_element(vec.begin(), vec.end());
auto minIt = min_element(vec.begin(), vec.end());
cout << "Max: " << *maxIt << ", Min: " << *minIt << endl;
// Accumulate (requires <numeric>)
// int sum = accumulate(vec.begin(), vec.end(), 0);
return 0;
}8. Common STL Algorithms
| Function | Description |
|---|---|
| sort() | Sorts elements |
| find() | Finds element |
| count() | Counts occurrences |
| reverse() | Reverses sequence |
| max_element() | Finds maximum |
| min_element() | Finds minimum |
| binary_search() | Binary search |
| transform() | Applies function to elements |
Summary
| Topic | Key Points | Difficulty |
|---|---|---|
| Sequence Containers | vector (dynamic array), list (doubly linked), deque (double-ended queue), array (fixed-size) | Beginner |
| Associative Containers | set/map (sorted, unique), multiset/multimap (sorted, allows duplicates), O(log n) operations | Intermediate |
| Unordered Containers | unordered_set/map (hashed), O(1) average, O(n) worst case, C++11 feature | Intermediate |
| Iterators | Pointers to container elements, begin()/end(), forward/reverse/const iterators, enable algorithms | Intermediate |
| STL Algorithms | sort, find, count, reverse, transform, etc., work with iterators, highly optimized | Intermediate |
| Container Adapters | stack, queue, priority_queue, provide specific interface using underlying container | Intermediate |
Frequently Asked Questions
Q1: When should I use vector vs list vs deque?
Use vector for random access, frequent access by index, when size changes moderately. Use list for frequent insertions/deletions in middle, when you don't need random access. Use deque for frequent insertions/deletions at both ends. Vector is most commonly used (best general-purpose container), list for specific needs (splicing, stable iterators), deque for double-ended operations.
Q2: What is the difference between map and unordered_map?
map is sorted by key (red-black tree), O(log n) operations, maintains order, requires comparable keys. unordered_map is hashed, O(1) average operations, no order, requires hashable keys. Use map when you need sorted order or range queries, unordered_map when you need fast lookups and don't care about order. unordered_map is generally faster for lookups.
Q3: How do iterators work and why are they important?
Iterators are objects that point to container elements, providing a uniform interface to access different containers. They enable algorithms to work with any container without knowing its internal structure. Iterators support operations like ++, --, *, ==, !=. begin() points to first element, end() points past last element. Algorithms use iterators to work generically with containers.
Q4: Can I use STL algorithms with arrays?
Yes, STL algorithms work with any iterator range, including pointers. For C-style arrays: sort(arr, arr + n)where arr is array and n is size. Pointers are valid iterators. For std::array: sort(arr.begin(), arr.end()). Algorithms are container-agnostic - they work with any iterator range, making them very flexible.
Q5: What happens when vector needs to grow beyond its capacity?
When vector size exceeds capacity, it allocates new larger memory (typically doubles capacity), copies/moves all elements to new memory, deletes old memory. This is expensive (O(n)) but amortized O(1) per insertion. Iterators/pointers to elements become invalid after reallocation. Use reserve() to pre-allocate if you know approximate size to avoid reallocations.
Q6: What is the difference between set and multiset?
set stores unique elements only (duplicates ignored), sorted order.multiset allows duplicate elements, also sorted. Both are O(log n) for insert/find/erase. Use set when uniqueness is required, multiset when you need to count occurrences or allow duplicates. Both maintain sorted order automatically.
Q7: How do I choose the right container for my needs?
Consider: need for random access? (vector/deque) Frequent insertions in middle? (list) Need sorted order? (set/map) Fast lookups? (unordered_set/map) Key-value pairs? (map/unordered_map) Unique elements? (set vs multiset). Default choice: vector for sequences, map for key-value, set for unique sorted elements. Profile if performance is critical - theoretical complexity doesn't always match real-world performance.
Q8: What are container adapters and how do they differ from containers?
Container adapters (stack, queue, priority_queue) provide specific interfaces using underlying containers. They're not containers themselves but adapt containers to provide stack/queue behavior. stack uses deque by default, queue uses deque, priority_queue uses vector. You can specify underlying container. They provide restricted interfaces (LIFO for stack, FIFO for queue) for specific use cases.
Conclusion
The Standard Template Library is an essential part of modern C++ programming, providing efficient, well-tested data structures and algorithms that eliminate the need to implement common functionality from scratch. Understanding STL containers, iterators, and algorithms enables you to write code that's both efficient and maintainable.
Choosing the right container for your needs is crucial for performance. Sequence containers (vector, list, deque) provide different trade-offs for access patterns, while associative containers (set, map) provide sorted storage, and unordered containers provide fast hash-based access. Understanding their characteristics helps you make informed decisions.
STL algorithms work seamlessly with containers through iterators, providing powerful operations like sorting, searching, and transforming data. Mastery of STL is essential for productive C++ programming - it's used in virtually every C++ program and is a key reason why C++ is so powerful and efficient for a wide range of applications.
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🔹 Author: Dr. J. Siva Ramakrishna
🔹 Institution: Narayana Engineering College, Gudur
🔹 Last Updated: 9 January 2026