# reneargento/algorithms-sedgewick-wayne

Solutions to all the exercises of the Algorithms book by Robert Sedgewick and Kevin Wayne

Repository: https://github.com/reneargento/algorithms-sedgewick-wayne
Canonical: https://ross.abutalabs.com/products/algorithms-sedgewick-wayne
Language: Java
License: MIT
License Family: permissive
Last push: 2025-01-27T00:46:54+00:00

## Health v2 (maintenance only)
Score: 34/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 3, release rhythm 35, longevity 100
- inputs: {"age_days": 3566, "days_push": 584, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2318, forks 654 (observed 2026-08-28T04:06:36.959261+00:00)

## What it is
A complete collection of Java solutions to all exercises in the Algorithms textbook by Sedgewick and Wayne (4th edition). It serves as a reference for students and professionals studying algorithms and data structures.

## Use cases
- check my solutions to Sedgewick Algorithms book exercises
- learn algorithms and data structures with worked examples
- find solutions to Algorithms 4th edition exercises
- study Java implementations of classic algorithms
- prepare for algorithms coursework or interviews

## When to choose
- you are studying the Sedgewick and Wayne Algorithms book and want to validate your exercise answers
- you want Java reference implementations of fundamental algorithms and data structures

## When to avoid
- you need a production-ready algorithms library rather than educational exercise solutions
- you want to copy homework solutions without understanding them

## Facets
- artifact type: learning-resource
- maturity: stable
- function: developer-tools
- domain: education, tutorials
- platform: jvm
- tags: algorithms, data-structures, sedgewick, exercise-solutions, java, computer-science, textbook

## Member repositories
- reneargento/algorithms-sedgewick-wayne (main) score 34

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:36.959261+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 2026-08-30T02:38:54.836493+00:00, confidence not recorded.
  - readme: https://github.com/reneargento/algorithms-sedgewick-wayne (fetched 2026-08-28T04:06:36.959261+00:00, sha 52b9a2e435d6)
- Data as of 2026-08-30T08:39:29.467469+00:00.