architect + engineer
A = {
// size of the squared matrix
const n = 40;
// create csc matrix from column pointers (ia), row indices (ja), and values (a)
return new CompressedColumnStorage(n, n, a, ja, ia);
}
sparseLU = {
// size of the squared matrix
let n = 40;
// create csc matrix from column pointers (ia), row indices (ja), and values (a)
let A = new CompressedColumnStorage(n, n, a, ja, ia);
// initialize solver
return SparseLU.Create(A);
}
{
// size of the squared matrix
let n = 40;
// initialize solution
let x = new Float64Array(n);
// solve A.x = b
sparseLU.Solve(b, x);
// check result
return test("Solution is correct", () => {
for (let i = 0; i < n; i++) {
if (assertAlmostEqual(x[i] - xExpected[i], 1e-10)) {
throw `invalid result at position ${i}:\n actual = ${x[i]}\n expected = ${xExpected[i]}\n error = ${x[i] - xExpected[i]}`;
}
}
});
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
