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
-
Numerical differentiation — Wikipedia contributors
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