Improved PRP Conjugate Gradient Method Based on Non-descent Line Search and Application on Image Restoration
PRP method is one of the most effective methods for nonlinear Conjugate Gradient optimization.However,this method cannot guarantee the decreasing direction of the objective function,which makes the global convergence of the general function difficult.In order to ensure the global convergence of PRP method,an improved PRP Conjugate Gradient Method is proposed.Aiming at the non-convex optimization problem,this paper briefly introduces the non-descent line search technique and some appropriate assumed conditions,and discusses the global convergence of the improved PRP method.Based on MATLAB software tool,the effectiveness and practicability of the new method for processing the unconstrained optimization and image restoration problems are verified.
Conjugate Gradient Methodnon-descent line searchglobal convergenceunconstrained optimizationimage restoration
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