Final answer:
The Hessian matrix calculates the second-order partial derivatives of a function. For the given function f(x1, x2) = √(x1)√(x2), the Hessian matrix can be calculated by finding the second-order partial derivatives.
Step-by-step explanation:
The Hessian matrix is a square matrix of second-order partial derivatives of a function. In this case, the function f(x1, x2) = √(x1)√(x2). To find the Hessian matrix, we need to calculate the second-order partial derivatives of f with respect to x1 and x2.
The Hessian matrix, H, is given by:
H = | ∂2f/∂x12 ∂2f/∂x1∂x2 |
| ∂2f/∂x2∂x1 ∂2f/∂x22 |