Partial Derivative Calculator
Calculate partial derivatives ∂f/∂x and ∂f/∂y of multivariable functions numerically. Includes gradient, Hessian matrix, and directional derivatives.
Partial derivative value (numerical approx.)
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f(x,y) at given point —
Extended More scenarios, charts & detailed breakdown ▾
∂f/∂x (numerical approx.)
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Professional Full parameters & maximum detail ▾
Second-Order Partials & Hessian
∂²f/∂x² (numerical approx.) —
∂²f/∂y² (numerical approx.) —
∂²f/∂x∂y (numerical approx.) —
Hessian determinant fxx·fyy − fxy² —
Directional Derivative
Directional derivative D_u f —
How to Use This Calculator
- Enter f(x,y) (e.g.
x^2 + x*y + y^2). - Enter the x and y values at which to evaluate.
- Select ∂f/∂x or ∂f/∂y.
- Use the Gradient tab to get both partial derivatives and magnitude.
- The Professional tab computes the full Hessian matrix and directional derivative.
Formula
∂f/∂x ≈ (f(x+h,y) − f(x−h,y)) / (2h) | |∇f| = √((∂f/∂x)² + (∂f/∂y)²)
Example
f(x,y) = x²y, at (2,3): ∂f/∂x = 2xy = 12, ∂f/∂y = x² = 4. |∇f| = √(144+16) ≈ 12.649.
Frequently Asked Questions
- The partial derivative ∂f/∂x measures how f(x,y) changes when x changes and y is held constant. It is computed numerically as (f(x+h,y)−f(x−h,y))/(2h).
- The gradient ∇f = (∂f/∂x, ∂f/∂y) is a vector pointing in the direction of steepest ascent. Its magnitude |∇f| is the rate of steepest increase.
- The Hessian H is the 2×2 matrix of second partial derivatives: [[fxx, fxy],[fxy, fyy]]. Its determinant det(H) = fxx·fyy − fxy² is used in the second derivative test to classify critical points.
- The directional derivative D_u f = ∇f · u gives the rate of change of f in the direction of unit vector u = (dx, dy). It equals |∇f|cos(θ) where θ is the angle between ∇f and u.
- The current tool handles f(x,y). For f(x,y,z), use the Triple Integral Calculator tab which accepts 3-variable expressions.
Related Calculators
Sources & References (5) ▾
- Partial Derivatives — Paul's Online Math Notes — Lamar University
- MIT OCW 18.02 Multivariable Calculus — MIT
- Multivariable Calculus — Khan Academy
- Partial Derivative — Wolfram MathWorld — Wolfram MathWorld
- Stewart's Multivariable Calculus (reference) — Cengage / Stewart