# Didnelpsun/Math

考研数学，数学一，包括高等数学、线性代数、概率统计

Repository: https://github.com/Didnelpsun/Math
Canonical: https://ross.abutalabs.com/products/didnelpsun-math
Language: TeX
License Family: other
Topics: math
Last push: 2024-06-25T19:10:43+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": 2063, "days_push": 799, "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 1523, forks 192 (observed 2026-08-28T04:04:58.134752+00:00)

## What it is
A collection of LaTeX study notes for China's postgraduate entrance mathematics exam (Math I), covering calculus, linear algebra, and probability & statistics. It is based on popular prep textbooks like Zhang Yu's 30 lectures and Li Yongle's 660 problems.

## Use cases
- study for the Chinese postgraduate entrance math exam
- review calculus, linear algebra, and probability notes
- find worked notes for Math I topics
- supplement prep with Zhang Yu and Li Yongle materials
- read math notes in LaTeX/PDF format

## When to choose
- you are preparing for the Chinese kaoyan Math I exam
- you want free, structured notes aligned with common prep textbooks
- you prefer LaTeX-typeset study material

## When to avoid
- you need a math computation library or solver rather than study notes
- you are preparing for Math II or Math III with different syllabi
- you need English-language exam materials

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, math
- domain: mathematics, education, tutorials
- platform: cross-platform
- tags: latex, chinese, exam-prep, calculus, linear-algebra, probability-statistics, study-notes

## Member repositories
- Didnelpsun/Math (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:58.134752+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 2026-08-30T04:31:43.474689+00:00, confidence not recorded.
  - readme: https://github.com/Didnelpsun/Math (fetched 2026-08-28T04:04:58.134752+00:00, sha 44cc3d2ca23d)
- Data as of 2026-08-30T08:39:29.467469+00:00.