GEOMETRIC APPROACH TO FLETCHERS IDEAL PENALTY-FUNCTION

被引:3
|
作者
CHRISTIANSON, B
机构
[1] School of Information Sciences, University of Hertfordshire, College Lane, Hatfield
关键词
AUTOMATIC DIFFERENTIATION; CONSTRAINED OPTIMIZATION; DIFFERENTIABLE PENALTY FUNCTION; REVERSE ACCUMULATION; TERMINATION PROOFS; VALIDATION;
D O I
10.1007/BF02192124
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this note, we derive a geometric formulation of an ideal penalty function for equality constrained problems. This differentiable penalty function requires no parameter estimation or adjustment, has numerical conditioning similar to that of the target function from which it is constructed, and also has the desirable property that the strict second-order constrained minima of the target function are precisely those strict second-order unconstrained minima of the penalty function which satisfy the constraints. Such a penalty function can be used to establish termination properties for algorithms which avoid ill-conditioned steps. Numerical values for the penalty function and its derivatives can be calculated efficiently using automatic differentiation techniques.
引用
收藏
页码:433 / 441
页数:9
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