Why Does the Gradient Point Upwards?
The gradient, \( \nabla f(\textbf{x}) \), tells us the direction in which a function increases the fastest. But why?
Gradient direction in 3D from Min => Max
Programming¶
Mastering Derivatives From Math to Code
Learn the mathematical concept, see how it translates into Python code, and discover three numerical differentiation methods - forward, backward, and central. Watch as we visualize their performance, helping you understand which method provides the most precise results for your calculations!
Absolute Error Numerical Differentiation Example