1990
DOI: 10.1007/bf02247882
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Truncated nonlinear ABS algorithm and its convergence property

Abstract: --ZusammenfassnngTruncated Nonlinear ABS Algorithm and Its Convergence Property. This paper shows that the nonlinear ABS algorithm [1] can be viewed as inexact Newton method [3]. From this point of view, the truncated nonlinear ABS algorithm is established and its convergence property is discussed.

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Cited by 7 publications
(3 citation statements)
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“…The algorithms corresponding to the scaled ABS class and to the block ABS class can also be established in a similar way. In addition, a truncated form of these algorithms can be developed similarly to the truncated nonlinear ABS class of Deng and Chen [6]. These extensions will be discussed in other papers.…”
Section: Resultsmentioning
confidence: 96%
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“…The algorithms corresponding to the scaled ABS class and to the block ABS class can also be established in a similar way. In addition, a truncated form of these algorithms can be developed similarly to the truncated nonlinear ABS class of Deng and Chen [6]. These extensions will be discussed in other papers.…”
Section: Resultsmentioning
confidence: 96%
“…where U ( x , 6) is an open ball of center x and radius 6. Proof It is not difficult to obtain the desired conclusion by induction if there are two positive scalars 81 and M1 such that…”
Section: Assumptions On the Mapping F (X)mentioning
confidence: 99%
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