Title of article :
Anti-optimization technique – a generalization of interval analysis for nonprobabilistic treatment of uncertainty
Author/Authors :
Zhiping Qiu ، نويسنده , , Isaac Elishakoff، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2001
Pages :
13
From page :
1747
To page :
1759
Abstract :
Anti-optimization technique, on the one hand, represents an alternative and complement to traditional probabilistic methods, and on the other hand, it is a generalization of the mathematical theory of interval analysis. In this study, in terms of interval analysis or interval mathematics, the arithmetic operations and the partial order relation of anti-optimization technique can be defined, and the convex model variables and the convex model extension function of convex models can also be introduced. The comparison of the Lagrange multiplier method with the convex model extension method for evaluating the region of static displacements of structures with uncertain-but-bounded parameters shows that the width of the upper and lower bounds on the static displacement yielded by the Lagrange multiplier method of convex models is tighter than those produced by the convex model extension.
Journal title :
Chaos, Solitons and Fractals
Serial Year :
2001
Journal title :
Chaos, Solitons and Fractals
Record number :
899670
Link To Document :
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