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Convergence of inexact newton methods for generalized equations

机译:广义方程不精确牛顿法的收敛性

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For solving the generalized equation f(x)+F(x) ∩ 0, where f is a smooth function and f is a set-valued mapping acting between Banach spaces, we study the inexact Newton method described by (f(x_k)+ D f(x _k)(x{k+1}-x_k) + F(x{k+1}) Rk(x_k, x{k+1}), where Df is the derivative of f and the sequence of mappings Rk represents the inexactness. We show how regularity properties of the mappings f+F and Rk are able to guarantee that every sequence generated by the method is convergent either q-linearly, q-superlinearly, or q-quadratically, according to the particular assumptions. We also show there are circumstances in which at least one convergence sequence is sure to be generated. As a byproduct, we obtain convergence results about inexact Newton methods for solving equations, variational inequalities and nonlinear programming problems.
机译:为了求解广义方程f(x)+ F(x)∩0,其中f是光滑函数,f是作用在Banach空间之间的集值映射,我们研究了(f(x_k)+ D f(x _k)(x {k + 1} -x_k)+ F(x {k + 1})Rk(x_k,x {k + 1}),其中Df是f的导数和映射序列Rk表示不精确性,我们将展示f + F和Rk映射的规则性如何能够根据特定的假设,保证该方法生成的每个序列q-线性,q-超线性或q-二次收敛。我们还证明了在某些情况下必定会产生至少一个收敛序列,作为副产品,我们获得了关于求解方程,变分不等式和非线性规划问题的不精确牛顿法的收敛结果。

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