IJITCS Vol. 3, No. 4, 8 Aug. 2011
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Nonlinear, gradient method, regularization, implicit iterative
Many nonlinear regularization methods may converge to local minima in numerical implementation for the complexity of nonlinear operator. Under some not very strict assumptions, we implement our proposed nonlinear implicit iterative method and have a global convergence results. Using the convexity property of the modified Tikhonov functional, it combines nonlinear implicit iterative method with a gradient method for solving ill-posed problems. Finally we present two numerical results for integral equation and parameter identification.
Jianjun Liu, Zhe Wang, Guoqiang He, Chuangang Kang, "Numerical Implementation of Nonlinear Implicit Iterative Method for Solving Ill-posed Problems", International Journal of Information Technology and Computer Science(IJITCS), vol.3, no.4, pp.9-15, 2011. DOI:10.5815/ijitcs.2011.04.02
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