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adjacency_matrix.ts
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adjacency_matrix.ts
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/*
Adjacency Matrix
An adjacency matrix is a square matrix used in graph theory to represent connections between nodes in a graph, with 1s indicating the presence of edges and 0s indicating their absence.
In Real Life:
1. Social Networks: An adjacency matrix can be used to represent a social network. Each node in the graph represents a person, and each edge represents a connection between two people.
2. Computer Networks: An adjacency matrix can be used to represent a computer network. Each node in the graph represents a computer, and each edge represents a connection between two computers.
3. Image Processing: An adjacency matrix can be used to represent an image. Each node in the graph represents a pixel, and each edge represents a connection between two pixels.
Description and comments created by chatgpt and github copilot
*/
class AdjacencyMatrix{
private matrix: number[][] = [];
public constructor(size: number) {
for(let i = 0; i < size; i++){
this.matrix.push([]);
for(let j = 0; j < size; j++){
this.matrix[i].push(0);
}
}
}
public addEdge(from: number, to: number): void
{
this.matrix[from][to] = 1;
this.matrix[to][from] = 1;
}
public removeEdge(from: number, to: number): void
{
this.matrix[from][to] = 0;
this.matrix[to][from] = 0;
}
public print(): void
{
console.log(this.matrix);
}
}
var myMatrix = new AdjacencyMatrix(5);
myMatrix.addEdge(0, 1);
myMatrix.addEdge(0, 2);
myMatrix.addEdge(1, 2);
myMatrix.addEdge(2, 0);
myMatrix.addEdge(2, 3);
myMatrix.print();
// [
// [0, 1, 1, 0, 0],
// [1, 0, 1, 0, 0],
// [1, 1, 0, 1, 0],
// [0, 0, 1, 0, 0],
// [0, 0, 0, 0, 0]
// ]
myMatrix.removeEdge(0, 1);
myMatrix.print();
// [
// [0, 0, 1, 0, 0],
// [0, 0, 1, 0, 0],
// [1, 1, 0, 1, 0],
// [0, 0, 1, 0, 0],
// [0, 0, 0, 0, 0]
// ]