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index.tsx// Assuming you have a graph represented as an adjacency matrix const graph = [ [0, 1, 0, 0], [1, 0, 1, 1], [0, 1, 0, 1], [0, 1, 1, 0] ]; // Function to calculate the Laplacian matrix function calculateLaplacianMatrix(graph) { const laplacianMatrix = []; for (let i = 0; i < graph.length; i++) { laplacianMatrix[i] = []; for (let j = 0; j < graph.length; j++) { if (i === j) { let degree = 0; for (let k = 0; k < graph.length; k++) { degree += graph[i][k]; } laplacianMatrix[i].push(degree); } else { laplacianMatrix[i].push(-graph[i][j]); } } } return laplacianMatrix; } console.log(calculateLaplacianMatrix(graph)); 718 chars32 lines
// Assuming you have a graph represented as an adjacency matrix const graph = [ [0, 1, 0, 0], [1, 0, 1, 1], [0, 1, 0, 1], [0, 1, 1, 0] ]; // Function to calculate the Laplacian matrix function calculateLaplacianMatrix(graph) { const laplacianMatrix = []; for (let i = 0; i < graph.length; i++) { laplacianMatrix[i] = []; for (let j = 0; j < graph.length; j++) { if (i === j) { let degree = 0; for (let k = 0; k < graph.length; k++) { degree += graph[i][k]; } laplacianMatrix[i].push(degree); } else { laplacianMatrix[i].push(-graph[i][j]); } } } return laplacianMatrix; } console.log(calculateLaplacianMatrix(graph));
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