# kangjianwei/Data-Structure

《数据结构》-严蔚敏.吴伟民-教材源码与习题解析

Repository: https://github.com/kangjianwei/Data-Structure
Canonical: https://ross.abutalabs.com/products/data-structure
Language: C
License Family: other
Topics: datastructure, algorithm, study-notes, c
Last push: 2022-07-20T15:01:38+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2889, "days_push": 1505, "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 3817, forks 981 (observed 2026-08-28T04:08:20.997800+00:00)

## What it is
A companion repository of C source code and exercise solutions for the classic Chinese textbook 'Data Structures (C Language Edition)' by Yan Weimin and Wu Weimin. It provides textbook algorithm implementations and problem-set analyses organized into four IDE-specific versions (CFree, Dev-C++, CLion, VisualC++).

## Use cases
- study data structures from the Yan Weimin textbook with working C code
- find solutions to data structure exercise problems
- learn classic algorithms like linked lists, trees, and graphs in C
- prepare for computer science exams in China
- get runnable C implementations of textbook algorithms

## When to choose
- you are studying the Yan Weimin data structures textbook and want matching source code
- you want C implementations of classic data structures and algorithms for learning
- you need exercise solutions from the accompanying problem set

## When to avoid
- you need production-ready, robustly tested data structure libraries
- you want a general-purpose algorithm library for real applications
- you need a license permitting commercial use

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials
- platform: windows, cpp, cross-platform
- tags: data-structures, c-language, study-notes, textbook-companion, exercise-solutions, chinese, algorithms

## Member repositories
- kangjianwei/Data-Structure (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:20.997800+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 2026-08-29T18:26:30.584538+00:00, confidence not recorded.
  - readme: https://github.com/kangjianwei/Data-Structure (fetched 2026-08-28T04:08:20.997800+00:00, sha 1a6952e3b841)
- Data as of 2026-08-30T08:39:29.467469+00:00.