This voyage is an editorial path for understanding, not a claim of direct historical influence or sole invention.
Understand it in one breath
Find an approximation together with a defensible account of its error when a closed form is unavailable or impractical. Differential-equation solvers, fluid calculations, optimization, and numerical weather prediction use such methods. Stability, convergence assumptions, and roundoff differ by algorithm; Newton's method itself can diverge from a poor starting point or near a vanishing derivative.
At a glance
Iteration n
xₙ
|xₙ − √2|
Matching decimal digits
0
1.000000
0.4142
0
1
1.500000
0.0858
0
2
1.416667
0.0025
2
3
1.414216
0.0000022
5
4
1.414214
< 10⁻¹²
12
5
1.414214
Machine precision
~16
Computing √2 with Newton’s method: x ← (x + 2/x) / 2. Once sufficiently close to the root and under the right conditions, the error is roughly squared at each step—quadratic convergence—so this example reaches double-precision limits in only a few iterations.
Concept
How to compute reliable answers on finite machines — the algorithms behind every simulation.
Key formula
xn+1=xn−f′(xn)f(xn)(Newton)
Ports in time
This concept was not invented in one instant
Follow the scenes to see problems, notation, standards of proof, and applications changing across different times and places.
1
BC 1800Scene 1 / 4Babylon
Babylonia — an approximation to √2
A Babylonian clay tablet records √2 to remarkable accuracy in sexagesimal notation, evidence of a systematic numerical procedure thousands of years ago.
AD 1736Scene 2 / 4Continue through the world of this year
Euler — Euler’s method
Euler introduced a simple step-by-step approximation for differential equations, a rough method that became a starting point for numerical ODE solvers.
No reliable place is given, so time continues without an invented pin
Numerical weather prediction, aircraft and vehicle simulation, financial models, molecular drug simulation, film physics, and matrix operations in machine learning.
Beyond MathVoyage
Curated sources and problems. Bring one discovery back from OEIS, Project Euler, MathOverflow, or arXiv.