The gradient is the vector generalization of the derivative.
For a function \(f([x_1, \ldots, x_n]^T)\), the gradient \(\nabla_x f([x_1, \ldots, x_n]^T)\) is the vector containing the \(n\) partial derivatives of \(f\) with respect to each \(x_i\).
The gradient is the vector generalization of the derivative.
For a function \(f([x_1, \ldots, x_n]^T)\), the gradient \(\nabla_x f([x_1, \ldots, x_n]^T)\) is the vector containing the \(n\) partial derivatives of \(f\) with respect to each \(x_i\).