[2026] C++ STL Algorithms Basics | sort, find, count, transform, accumulate

Introduction: Manual loops bred bugs

“Sorting, searching, summing—I rewrite loops every time”

Hand-rolled bubble sort, linear search, and sum loops are error-prone (off-by-one, invalid iterators). STL algorithms take half-open ranges [first, last) and a predicate or operation—usually clearer and well-tested. STL rewrite of the naive example: 아래 코드는 cpp를 사용한 구현 예제입니다. 필요한 모듈을 import하고. 코드를 직접 실행해보면서 동작을 확인해보세요.

#include <algorithm>
#include <numeric>
std::vector<int> vec = {5, 2, 8, 1, 9};
std::sort(vec.begin(), vec.end());
auto it = std::find(vec.begin(), vec.end(), 8);
int index = (it != vec.end()) ? static_cast<int>(std::distance(vec.begin(), it)) : -1;
int sum = std::accumulate(vec.begin(), vec.end(), 0);

다음은 mermaid를 활용한 상세한 구현 코드입니다. 각 부분의 역할을 이해하면서 코드를 살펴보시기 바랍니다.

flowchart TB
  subgraph problem[Common mistakes]
    P1[Manual loops → index bugs]
    P2["Sorted data but linear find"]
    P3[remove without erase]
    P4[Wrong comparator]
  end
  subgraph solution[Fix]
    S1[STL algorithms]
    S2[lower_bound / binary_search]
    S3[erase-remove idiom]
    S4[Strict weak ordering]
  end
  P1 --> S1
  P2 --> S2
  P3 --> S3
  P4 --> S4

Table of contents

1. Problem scenarios
2. sort
3. find
4. count and accumulate
5. transform
6. Examples
7. Common errors
8. Best practices
9. Production patterns
10. Checklist

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1. Problem scenarios

• Big data sorted with O(n²) → use std::sort O(n log n)
• Sorted range search with find → use lower_bound O(log n)
• Counting with manual loops → count_if
• remove without erase → size unchanged → erase-remove
• Product with accumulate(..., 0, multiplies) — wrong; use initial value 1 for products

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2. sort

std::sort(vec.begin(), vec.end());
std::sort(vec.begin(), vec.end(), std::greater<int>());

Custom comparator: strict weak ordering—typically return a < b for ascending. stable_sort preserves relative order of equal elements.

3. find

• find: linear search for value
• find_if: first element satisfying predicate
• Sorted range: binary_search, lower_bound, upper_bound

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4. count and accumulate

아래 코드는 cpp를 사용한 구현 예제입니다. 조건문으로 분기 처리를 수행합니다. 코드를 직접 실행해보면서 동작을 확인해보세요.

int n2 = std::count(vec.begin(), vec.end(), 2);
int evens = std::count_if(vec.begin(), vec.end(), [](int x){ return x % 2 == 0; });
int sum = std::accumulate(vec.begin(), vec.end(), 0);
int prod = std::accumulate(vec.begin(), vec.end(), 1, std::multiplies<int>());

String concatenation: start from std::string(), not "" as const char* (avoid subtle issues).

5. transform

Unary: transform each element to output range. In-place: output vec.begin(). Binary: combine two sequences element-wise (same length discipline).

7. Common errors

1. Dereference find result without != end()
2. remove only—must erase from new_end to end()
3. transform output range too small—size or back_inserter
4. Product accumulate with initial 0
5. lower_bound on unsorted data → meaningless
6. Comparator <= for sort → not a strict weak ordering

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8. Best practices

• Use const Person& in predicates for large structs
• reserve before back_inserter when size known
• Check is_sorted before binary search if unsure

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9. Production patterns

• erase-remove / erase-remove_if
• sort + unique + erase for duplicates
• minmax_element for min and max in one pass
• merge on sorted inputs

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10. Checklist

• Sorted? → binary search APIs
• remove → paired erase
• find → check end
• accumulate product → init 1

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FAQ

Default toolkit?

A. sort, find/find_if, count_if, accumulate, transform cover most loops.

Sorted vector vs set?

A. Many searches, few inserts: sorted vector + binary search can be faster/more cache-friendly. Frequent inserts/erases: set/map.

C++20 ranges?

A. std::ranges::sort(vec) and friends reduce iterator noise—see cppreference. One-line summary: Prefer STL algorithms over ad-hoc loops; pair remove with erase, and use lower_bound on sorted data. Previous: vector basics
Next: STL algorithms deep dive

Keywords

C++, STL, algorithm, std::sort, std::find, std::transform, std::accumulate, lambda, predicate

References

• Algorithm library
• Numeric library

Related posts

• STL algorithms patterns
• Lambda expressions
• vector basics