This example demonstrates Newton’s method for solving systems of equations, showing how the algorithm iteratively converges to a root from an initial guess. The visualization likely plots the function’s behavior or the iterative path in a 2D or 3D space, with the code using the `Newton.Solve` and `Newton.Zero` functions to compute roots. The implementation relies on QR decomposition and backsubstitution for matrix operations, as seen in `Newton.QRDec` and `Newton.QRBack`, and includes a backtracking line search to improve convergence. The code adapts a numerical method from a public-domain textbook, with no external charting library, instead computing and displaying results via raw JavaScript math and likely custom SVG or canvas rendering.