The dfp method, or Davidon-Fletcher-Powell method, is an iterative optimization algorithm used to find the minimum of a function. It belongs to the family of quasi-Newton methods and is particularly useful for solving nonlinear equations by approximating the Hessian matrix, which represents second-order information about the function being minimized. This method iteratively updates the estimate of the solution while refining the approximation of the inverse Hessian matrix, making it efficient for large-scale problems where calculating the exact Hessian is computationally expensive.
congrats on reading the definition of dfp method. now let's actually learn it.