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A Superlinear convergent algorithm of the sequential systems of linear equations for nonlinear programming

机译:非线性规划线性方程组序列系统的超线性收敛算法

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摘要

A superlinear algorithm of the sequential systems of linear equations for nonlinear programming is proposed in this paper. At each iterative step, the algorithm needs two processes: solving a systems of linear equations(LS) and computing an auxiliary direction. When k is large enough, the last auxiliary computation can be omitted and the algorithm has superlinearly convergent rate.
机译:提出了一种用于非线性规划的线性方程组序列系统的超线性算法。在每个迭代步骤中,该算法都需要两个过程:求解线性方程组(LS)和计算辅助方向。当k足够大时,可以省略最后的辅助计算,并且算法具有超线性收敛速度。

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