# HappyCerberus/book-cpp-algorithms

The Standard Algorithms in C++.

Repository: https://github.com/HappyCerberus/book-cpp-algorithms
Canonical: https://ross.abutalabs.com/products/book-cpp-algorithms
Language: TeX
License: NOASSERTION
License Family: other
Last push: 2024-02-16T22:59:57+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1564, "days_push": 929, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1453, forks 129 (observed 2026-08-28T04:04:46.578749+00:00)

## What it is
The LaTeX source and C++ code samples for the book 'A Complete Guide to Standard C++ Algorithms', distributed as a free PDF. It covers the standard algorithms library including C++20 ranges and views, with verified code examples.

## Use cases
- learn standard C++ algorithms
- understand C++20 ranges and views
- find a reference book for STL algorithms
- study algorithm usage with runnable code examples
- prepare for C++ interviews on standard algorithms

## When to choose
- you want a comprehensive, free guide to C++ standard algorithms
- you prefer learning from a book with verified code samples and Compiler Explorer links

## When to avoid
- you need a software library to include in your project
- you want general C++ tutorials beyond the algorithms library

## Facets
- artifact type: learning-resource
- maturity: stable
- function: documentation, developer-tools
- domain: education, programming-languages, tutorials
- platform: cross-platform
- tags: cpp, standard-library, latex-book, stl-algorithms, ranges, free-book, algorithms

## Member repositories
- HappyCerberus/book-cpp-algorithms (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:46.578749+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:35:43.625511+00:00, confidence not recorded.
  - readme: https://github.com/HappyCerberus/book-cpp-algorithms (fetched 2026-08-28T04:04:46.578749+00:00, sha 14d85e0af265)
- Data as of 2026-08-30T08:39:29.467469+00:00.