Uncover Critical Points with Ease
Enter your multivariable function and variables to instantly find critical points. Visualize and understand calculus concepts interactively.
Function Details
f(x, y, ...) =
Critical Points
Understanding Critical Points
In multivariable calculus, critical points are essential for finding local maxima, minima, and saddle points of a function. A critical point occurs where the gradient of the function is zero or undefined. For a function f(x, y), this means solving the system of equations ∂f/∂x = 0 and ∂f/∂y = 0.
How to use this tool:
- Enter your multivariable function in the 'Function' input field. Use variables like x, y, z, etc., and standard math notation (e.g.,
x^2 + y^2,sin(x)*cos(y)). - Specify the variables in the 'Variables' input field, separated by commas (e.g.,
x, y). - Click the 'Calculate Critical Points' button to find the critical points.
- The critical points will be displayed in JSON format below. You can copy them for further analysis.
This tool uses mathjs library for mathematical computations.