# aoapc-book/aoapc-bac2nd

Source codes for book <<<BeginningAlgorithmContests>> Second edition

Repository: https://github.com/aoapc-book/aoapc-bac2nd
Canonical: https://ross.abutalabs.com/products/aoapc-bac2nd
Language: C++
License Family: other
Last push: 2020-11-16T00:16:14+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4476, "days_push": 2117, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2782, forks 973 (observed 2026-08-28T04:07:21.757421+00:00)

## What it is
Companion source code repository for the second edition of the book 'Beginning Algorithm Contests' (算法竞赛入门经典), written in C++. It contains example and exercise solutions for chapters 3-12, most of which can be submitted to the UVa online judge.

## Use cases
- study C++ solutions for algorithm contest problems
- find reference code for UVa online judge exercises
- learn competitive programming from a textbook with worked examples
- practice algorithm contest problems chapter by chapter
- compare my own contest solutions against book reference implementations

## When to choose
- you are reading the book and want its accompanying source code
- you are preparing for programming contests using UVa problems
- you want C++ examples covering classic algorithm topics

## When to avoid
- you need a general-purpose algorithm library to import into projects
- you cannot read Chinese and rely on the book's explanations
- you need complete coverage - chapter 12 is largely unfinished

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials
- platform: cpp, cli
- tags: competitive-programming, algorithm-contests, uva-online-judge, book-companion-code, chinese-language, algorithms

## Member repositories
- aoapc-book/aoapc-bac2nd (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:21.757421+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 2026-08-30T08:16:04.804601+00:00, confidence not recorded.
  - readme: https://github.com/aoapc-book/aoapc-bac2nd (fetched 2026-08-28T04:07:21.757421+00:00, sha b5ede453374a)
- Data as of 2026-08-30T08:39:29.467469+00:00.