Numerical Derivative

Approximate first and second derivatives of a polynomial via central finite differences.

Description

Approximate first and second derivatives of a polynomial via central finite differences.

Numerical Derivative: Approximate first and second derivatives of a polynomial via central finite differences.

When to use Numerical Derivative

Use this numerical method to approximate a derivative or definite integral from a callable expression and explicit step or interval settings.

Coefficients
Polynomial coefficients where index i holds the coefficient of x^i.
Point
Evaluation point of the derivatives.
Step size
Finite-difference step; positive powers of two (e.g. 0.0078125) avoid representation error.

How Numerical Derivative works

Approximate first and second derivatives of a polynomial via central finite differences. The tool evaluates the supplied inputs together and returns the named outputs below; it does not infer omitted operating conditions or change the units shown.1

derivative
Central-difference estimate of f'(x).
secondDerivative
Central second-difference estimate of f''(x).

Limitations and assumptions

  • Numerical differentiation and integration introduce truncation and floating-point error. Discontinuities, singularities, oscillation, cancellation, or an unsuitable step size can make a plausible-looking result inaccurate.
  • Use finite inputs in the displayed units and preserve more precision than the final presentation requires. Independently verify safety-critical, financial, compliance, or production decisions.

Alternative or Complementary approaches

Repeat the calculation with a finer resolution and compare the change. Use symbolic calculus or an adaptive high-precision method when an exact result or controlled error bound is required.

References

  1. Numerical differentiation — Wikipedia contributors

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