//1. Linear algebra example. We start with a matrix.
 A = [[1,2,3],
     [4,5,6],
     [7,3,9]]

//2. Let's also make a vector.
x = [3,1,2];

//3. Matrix-vector product.
b = numeric.dot(A,x);

//4. Matrix inverse.
Ainv = numeric.inv(A);

//5. Let's check it:
numeric.dot(Ainv,b);

//6. Determinant
numeric.det(A);

//7. Eigenvalues.
ev = numeric.eig(A)

//8. In this case, the eigenvalues are real.
ev.lambda.x

//9. Singular value decomposition.
numeric.svd(A)