1.0.11 • Published 10 months ago

dijkstras-algorithm-ts v1.0.11

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License
MIT
Repository
github
Last release
10 months ago

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Dijkstra's Shortest Path Algorithm Typescript Implementation

goals for this project

  • study and learn about a new algorithm I didn't previously know (in this case dijkstra's shortest path algorithm) ✅
  • study it via wikipedia and youtube conceptual videos ✅
  • based off conceptual information/videos understanding write my own implementaiton without looking at others code/implementations (challenging part) ✅
  • looking at some pseudo code is allowed (though i limited that for this algorithm), but looking at others implementations is disallowed ✅
  • once algorithm is implemented, write unit tests to verify output results are correct given the graph, starting node inputs ✅
  • side quest: test with multiple different graphs to be even more confident in implementation

running

  • npm i
  • npm run start

running tests

  • npm run test

graphs tested with code usage examples

look at index.ts code for example usage! or read below for a more in detail explaination of how to use code.

graph A tested with example code usage

algorithm implementation and graph used based off of youtube video https://www.youtube.com/watch?v=pVfj6mxhdMw&t=553s&ab_channel=ComputerScience

graph data structure representation:

const graphA: DijkstrasNonDirectedGraphMap = {
        a: { b: 6, d: 1 },
        b: { a: 6, c: 5, e: 2, d: 2 },
        c: { b: 5, e: 5 },
        d: { a: 1, b: 2, e: 1 },
        e: { d: 1, b: 2, c: 5 },
    };

shortest paths results table from node a:

const dijkstrasResultsLookUpTableFromNodeA = dijkstrasAlgorithm(
        graphA,
        "a"
    );

// output will be: 
const dijkstrasResultsLookUpTableFromNodeA: DijkstrasResultsTableMap = {
    a: { shortestDistanceFromNodeX: 0, previousVertex: null },
    b: { shortestDistanceFromNodeX: 3, previousVertex: "d" },
    c: { shortestDistanceFromNodeX: 7, previousVertex: "e" },
    d: { shortestDistanceFromNodeX: 1, previousVertex: "a" },
    e: { shortestDistanceFromNodeX: 2, previousVertex: "d" },
};

get shortest path to c from a:

const path = getShortestPath(dijkstrasResultsLookUpTableFromNodeA, "c");
// output will be => ["a", "d", "e", "c"]

get shortest path to c from a in directional arrow formatted string:

const pathFormattedString = getShortedPathArrowedFormattedString(path);
// output will be: "a --> d --> e --> c"

graph B tested with example code usage

graph data structure representation:

const graphB: DijkstrasNonDirectedGraphMap = {
        a: { b: 2, d: 8 },
        b: { a: 2, e: 6, d: 5 },
        c: { f: 3, e: 9 },
        d: { a: 8, b: 5, e: 3, f: 2 },
        e: { d: 3, b: 6, c: 9, f: 1 },
        f: { d: 2, c: 3, e: 1 },
    };

shortest paths results table from node a:

const dijkstrasResultsLookUpTableFromA = dijkstrasAlgorithm(graphB, "a");

// output will be:
const dijkstrasResultsLookUpTableFromA: DijkstrasResultsTableMap = {
    a: { shortestDistanceFromNodeX: 0, previousVertex: null },
    b: { shortestDistanceFromNodeX: 2, previousVertex: "a" },
    c: { shortestDistanceFromNodeX: 12, previousVertex: "f" },
    d: { shortestDistanceFromNodeX: 7, previousVertex: "b" },
    e: { shortestDistanceFromNodeX: 8, previousVertex: "b" },
    f: { shortestDistanceFromNodeX: 9, previousVertex: "d" },
};

get shortest path to c from a:

const path = getShortestPath(dijkstrasResultsLookUpTableFromA, "c");
// output will be => ["a", "b", "d", "f", "c"]

get shortest path to c from a in directional arrow formatted string:

const pathFormattedString = getShortedPathArrowedFormattedString(path);
// output will be: "a --> b --> d --> f --> c"
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