Simpson Integration Calculator
Approximate a definite integral from evenly spaced samples over [xMin, xMax] using composite Simpson's rule (odd sample count required).
Description
Approximate a definite integral from evenly spaced samples over [xMin, xMax] using composite Simpson's rule (odd sample count required).
Simpson Integration Calculator: Approximate a definite integral from evenly spaced samples over [xMin, xMax] using composite Simpson's rule (odd sample count required).
When to use Simpson Integration
Use this numerical method to approximate a derivative or definite integral from a callable expression and explicit step or interval settings.
- Samples
- Function samples at evenly spaced points, first at xMin and last at xMax; the count must be odd.
- xMin
- Lower integration bound.
- xMax
- Upper integration bound.
How Simpson Integration works
Approximate a definite integral from evenly spaced samples over [xMin, xMax] using composite Simpson's rule (odd sample count required). 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
- Integral
- Simpson approximation of the integral.
- Delta x
- Sample spacing implied by the bounds.
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 integration — Wikipedia contributors
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