multivariable derivative calculator

Enter a function in terms of x, y, and z. This tool computes first partial derivatives, second partial derivatives, mixed partials, and (optionally) evaluates them at a point and computes a directional derivative.

Evaluation Point (optional)

Direction Vector for Directional Derivative (optional)

What this multivariable derivative calculator does

When you work with functions of several variables, the derivative becomes a richer idea. Instead of one slope, you get a slope in each coordinate direction, and together those slopes form a gradient vector. This calculator helps you quickly compute:

  • First-order partial derivatives: ∂f/∂x, ∂f/∂y, ∂f/∂z
  • Second-order partial derivatives: ∂²f/∂x², ∂²f/∂y², ∂²f/∂z²
  • Mixed partial derivatives: ∂²f/∂x∂y, ∂²f/∂x∂z, ∂²f/∂y∂z
  • Numerical values at a point (x, y, z), if provided
  • Directional derivative along a vector, if a direction is supplied

How to use it

1) Enter your function

Use standard math notation with operators and functions like +, -, *, /, ^, sin(), cos(), exp(), and ln().

2) (Optional) Enter a point

If you enter values for variables used in your function, the tool evaluates the function and its derivatives numerically at that point.

3) (Optional) Enter a direction vector

If you provide (vx, vy, vz), the calculator computes the directional derivative using the unit vector in that direction.

Why these derivatives matter

Multivariable derivatives appear everywhere: optimization in machine learning, sensitivity analysis in engineering, local linear approximations in physics, and error propagation in applied statistics. In practical terms:

  • Gradient points in the direction of steepest increase.
  • Second derivatives describe curvature and are useful for classifying critical points.
  • Mixed partials capture how variables interact.
  • Directional derivatives measure change along a chosen path.

Worked example

Suppose:

f(x,y,z) = x^2 y + sin(xy) + z^3

At point (1,2,0), the calculator can return exact symbolic expressions and their numeric values. If you also choose direction (1,-1,2), it computes the rate of change of f in that direction.

Tips for best results

  • Use explicit multiplication: write x*y (not xy).
  • Use parentheses for clarity: sin(x*y).
  • If you only need symbolic derivatives, leave point values blank.
  • For directional derivatives, avoid the zero vector.

Frequently asked questions

Does this handle functions with only x and y?

Yes. You can input functions that use any subset of x, y, z. Unused-variable derivatives are automatically zero.

Can I use constants like pi and e?

Yes. You can type expressions like sin(pi*x) or e^(x+y).

Are results exact or approximate?

Symbolic derivatives are exact expressions. Numerical evaluations are approximate decimal values based on your point input.

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