The DFP method, or Davidon-Fletcher-Powell method, is an iterative algorithm used for unconstrained optimization problems to find local minima. It is a quasi-Newton method that updates an approximation of the Hessian matrix based on gradient information, allowing for efficient convergence to optimal solutions while requiring less computational effort than exact Newton's method.
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