# IRVING-L/Algorithm_fromBilibili

《B站-青岛大学-王卓老师-数据结构与算法基础》自学心得、笔记（C++语言实现）

Repository: https://github.com/IRVING-L/Algorithm_fromBilibili
Canonical: https://ross.abutalabs.com/products/algorithm_frombilibili
License Family: other
Topics: algorithm, cpp11
Last push: 2021-11-30T16:41:53+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": 2056, "days_push": 1737, "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 1247, forks 195 (observed 2026-08-28T04:04:07.140761+00:00)

## What it is
A collection of self-study notes and C++ implementations of data structures and algorithms based on Wang Zhuo's data structures course from Bilibili (Qingdao University). It covers linear lists, stacks, queues, trees, graphs, and searching/sorting algorithms with mind-map notes.

## Use cases
- learn data structures in C++ from scratch
- follow along with a Chinese university data structures course
- review sorting and searching algorithm implementations
- study notes for linear lists, stacks, queues, trees, and graphs
- find reference C++11 code for classic data structures
- prepare for coding interviews on fundamentals

## When to choose
- you are a beginner studying data structures and algorithms in C++
- you want notes and code accompanying Wang Zhuo's Bilibili lecture series
- you prefer Chinese-language learning materials

## When to avoid
- you need a production-ready algorithm library
- you want English-language instruction
- you need maintained, tested, or packaged code

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials
- platform: cpp, cross-platform
- tags: data-structures, study-notes, cpp11, bilibili-course, self-study, algorithms

## Member repositories
- IRVING-L/Algorithm_fromBilibili (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.140761+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 2026-08-30T05:07:55.386753+00:00, confidence not recorded.
  - readme: https://github.com/IRVING-L/Algorithm_fromBilibili (fetched 2026-08-28T04:04:07.140761+00:00, sha 6bbf2d292134)
- Data as of 2026-08-30T08:39:29.467469+00:00.