Triple Integral Numeric Solver
Enter f(x,y,z), set bounds for all three axes, and get a numeric approximation of the triple integral using a 3D midpoint Riemann sum.
Configure Integral
Use x, y, z as variables. Use * for multiply, ^ for power.
x bounds [a, b]
y bounds [c, d]
z bounds [e, g]
Examples
Set the function and bounds, then click Calculate.
Integral
Result
Method
3D Midpoint Riemann Sum
Grid points evaluated
Δx step size
Δy step size
Δz step size
About the method
The tool divides the box [a,b]×[c,d]×[e,g] into n³ sub-boxes of equal size. For each sub-box, it evaluates f at the midpoint (xm, ym, zm) and multiplies by the volume Δx·Δy·Δz. The total is the sum of all products — the 3D midpoint Riemann sum. For smooth functions, error decreases as O(h²) where h = max(Δx, Δy, Δz), so doubling n roughly quarters the error. Note that n=50 already evaluates 125,000 points; keep n modest for fast results on simple functions.
Summary
Enter f(x,y,z), set bounds for all three axes, and get a numeric approximation of the triple integral using a 3D midpoint Riemann sum.
How it works
- Enter the function f(x,y,z) using standard notation (e.g. x*y*z, sin(x+y+z), x^2 + y^2 + z^2).
- Set the x lower and upper bounds (a, b).
- Set the y lower and upper bounds (c, d).
- Set the z lower and upper bounds (e, g).
- Choose the grid size n (sub-intervals per axis; n³ total points evaluated).
- Click "Calculate" to run the 3D midpoint Riemann sum and see the result.
Use cases
- Verify triple integral results from calculus textbooks or homework.
- Estimate volume of a solid or mass of a 3D object with known density function.
- Compute 3D probability integrals for joint density functions of three variables.
- Explore how box bounds affect the integral value interactively.
- Check symbolic CAS output against a numeric approximation.
- Demonstrate iterated integration over a box domain in a classroom setting.
- Approximate center-of-mass integrals in physics problems.