提出用连续的无导数Landweber方法(或称为无导数动力系统方法)研究Hilbert空间中的参数识别问题。不考虑算子F的Fr6chet可微性及其非线性条件,仅在与正演问题可解性相关的某些更为自然的假设条件下,用李雅普诺夫稳定性定理证明该动力系统是收敛且稳定的。在关于算子F更弱的源条件和非线性条件下,推导出相应的离散化后所得迭代方法的收敛率。数值算例验证了所得结论。
A continuous derivative-free Landweber method (or called derivative-free dynamical sys- tem method) for solving parameter identification problems in Hilbert space setting is proposed. Without the Frrchet differentiability and the nonlinearity conditions of F, by using the theorem of Lyapunov stabil- ity, it is proven this dynamical system to be convergent and stable only with more natural assumptions as- sociated with the solvability of a direct problem, and derive the convergent rate of the corresponding itera- rive method under a weak source condition and a weak nonlinearity condition of F. Finally, some numeri- cal experiments are presented with PC-Matlab to verify the theoretical result.