An algorithm for nondifferentiable optimization

Liansheng Zhang

doi:10.1007/BF02006217

An algorithm for nondifferentiable optimization

Liansheng Zhang^*

^*Corresponding author for this work

Shanghai University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this paper, we give an implementable algorithm for minimizing a locally Lipschitz function without constraints, and prove the global convergence under the "α-acute angle" condition.

Original language	English
Pages (from-to)	200-206
Number of pages	7
Journal	Acta Mathematicae Applicatae Sinica
Volume	4
Issue number	3
DOIs	https://doi.org/10.1007/BF02006217
Publication status	Published - Aug 1988
Externally published	Yes

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title = "An algorithm for nondifferentiable optimization",

abstract = "In this paper, we give an implementable algorithm for minimizing a locally Lipschitz function without constraints, and prove the global convergence under the {"}α-acute angle{"} condition.",

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year = "1988",

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AB - In this paper, we give an implementable algorithm for minimizing a locally Lipschitz function without constraints, and prove the global convergence under the "α-acute angle" condition.

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DO - 10.1007/BF02006217

M3 - Article

AN - SCOPUS:0347587216

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JO - Acta Mathematicae Applicatae Sinica

JF - Acta Mathematicae Applicatae Sinica

IS - 3

ER -

An algorithm for nondifferentiable optimization

Abstract

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