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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국전산응용수학회 The Korean journal of computational & applied mathematics, 한국전산응용수학술지 Series A The Korean journal of computational & applied mathematics, 한국전산응용수학술지 Series A 제7권 제3호
- 발행연도
- 2000.1
- 수록면
- 719 - 738 (20page)
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초록· 키워드
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A dual algorithm based on the smooth function proposed by Polyak (1988) is constructed for solving nonlinear programming problems with inequality constraints. It generates a sequence of points converging locally to a Kuhn-Tucker point by solving an unconstrained minimizer of a smooth potential function with a parameter. We study the relationship between eigenvalues of the Hessian of this smooth potential function and the parameter, which is useful for analyzing the effectiveness of the dual algorithm.
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