Sometimes you do not want the interpolating polynomial — you want its value at one point. Neville's algorithm gets it without ever forming the coefficients: it fills a tableau where each entry blends two lower estimates, Pi…j = [(x−xj)Pi…j−1 − (x−xi)Pi+1…j] / (xi−xj), until the whole set collapses to a single number. It is a recursion made of weighted averages, numerically stable, and it doubles as an error estimate (successive columns should agree). The same value the Newton form gives — reconstructed by convergence of a tableau rather than by coefficients.
The same three samples. The demo fills Neville's tableau and collapses it to the reconstructed value at a point: live demo
“To evaluate the interpolant you must first find it.” — Neville reconstructs the value directly, blending neighbouring estimates until one number remains. You never write the polynomial down. cited
Each cell is a weighted average of the two beneath it; the tableau converges the corner to the answer. Reconstruction as a collapse, not a solve. Neville 1934
On the canonical compiler, the tableau over (0,1),(1,3),(2,9) collapses 7, 15 → 19 at x=3 — the same value Newton gave: