What is it?
Near , . The differential is that best linear approximation; it tells how an error in the input propagates to the output.
Formulas
- relative error amplification (condition number)
Where it shows up in computing
First-order error propagation estimates how measurement and rounding errors affect results.
Nonlinear plants are linearized around an operating point and controlled with linear theory.
Where is it used?
Computing topics reachable from here, through the chain of ideas that leads to them:
⚛ Physics and simulation
- Euler's method→Physics engines★★★★★
- Euler's method→Physics engines→N-body gravitational simulation★★★★★
- Taylor polynomial→Numerical differentiation→Heat equation and diffusion★★★★★
- Euler's method→Physics engines→Fluid dynamics and CFD★★★★★
- Euler's method→Physics engines→Fluid dynamics and CFD→Weather and climate modelling★★★★★
- Taylor polynomial→Numerical integration (quadrature)→Finite element method★★★★★
What depends on it
Exercises
1Applied
Estimate with the differential of at .
Solution
(true value ).
This page has the essentials. A fuller treatment (intuition, formal definition, worked example) is on the way.