mlMatrix = require("ml-matrix@^6.8")
ones = Matrix.ones(5, 5)
viewof eye = pt(Matrix.eye(3, 4))
eye
viewof A = pt(new Matrix([[2, 3, 5], [4, 1, 6], [1, 3, 0]]))
viewof inverseA = pt(mlMatrix.inverse(A))
pt(A.mmul(inverseA))
eigen = new mlMatrix.EigenvalueDecomposition(m)
pt(eigen.realEigenvalues)
pt(eigen.eigenvectorMatrix)
eigen.eigenvectorMatrix
// adapted from https://observablehq.com/@chitacan/handling-matrices#pt
function pt(matrix, MAXROWS = 8) {
const values = matrix.data || Array.from(matrix, (d) => [d]);
const data = values
//.toArray()
.slice(0, MAXROWS)
.map((row) =>
[...row]
.slice(0, MAXROWS)
.map(format)
.map((d, i) => (i === MAXROWS - 1 ? "…" : d))
.join(" & ")
)
.map((d, i) =>
i === MAXROWS - 1
? [...values[0]]
.slice(0, MAXROWS)
.map((d) => "…")
.join(" & ")
: d
)
.join(" \\\\ ");
const el = tex`
\left(\begin{matrix}
${data}
\end{matrix}\right)
`;
el.value = matrix;
return el;
}
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