# jimmysuncpt/Algorithms

The codes and my solutions to exercises from the book "Algorithms" (4th edition) by Robert Sedgewick and Kevin Wayne.

Repository: https://github.com/jimmysuncpt/Algorithms
Canonical: https://ross.abutalabs.com/products/jimmysuncpt-algorithms
Language: Java
License Family: other
Topics: algorithm
Last push: 2022-06-29T16:47:39+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3605, "days_push": 1526, "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 2186, forks 639 (observed 2026-08-28T04:06:23.697694+00:00)

## What it is
A collection of Java code and exercise solutions accompanying the book 'Algorithms' (4th edition) by Robert Sedgewick and Kevin Wayne. It covers fundamentals, sorting, searching, graphs, and strings, organized chapter by chapter.

## Use cases
- study algorithms from the Sedgewick 4th edition book
- find solutions to Algorithms 4th edition exercises
- learn sorting and searching algorithms in Java
- review graph algorithms like shortest paths and minimum spanning trees
- prepare for coding interviews with classic algorithm implementations
- reference implementations of data structures like BSTs, heaps, and hash tables

## When to choose
- you are reading the Algorithms 4th edition textbook and want companion code
- you want Java implementations of classic algorithms and data structures
- you need help checking your own solutions to the book's exercises

## When to avoid
- you need a production-ready algorithm library for a real project
- you want algorithms in a language other than Java
- you need a maintained, licensed library with guaranteed correctness

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials
- platform: jvm, cross-platform
- tags: algorithms-4th-edition, sedgewick, java, exercise-solutions, data-structures, computer-science, study-notes, algorithms

## Member repositories
- jimmysuncpt/Algorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:23.697694+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 2026-08-30T02:47:54.692578+00:00, confidence not recorded.
  - readme: https://github.com/jimmysuncpt/Algorithms (fetched 2026-08-28T04:06:23.697694+00:00, sha 412647ea7a86)
- Data as of 2026-08-30T08:39:29.467469+00:00.