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COMPUTATIONAL COMPLEXITY IN WORST, STOCHASTIC AND AVERAGE CASE SETTING ON FUNCTIONAL APPROXIMATION PROBLEM OF MULTIVARIATE 被引量:2
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作者 房艮孙 叶培新 《Acta Mathematica Scientia》 SCIE CSCD 2005年第3期439-448,共10页
The order of computational complexity of all bounded linear functional ap proximation problem is determined for the generalized Sobolev class Wp?(Id), Nikolskii class H|∞k(Id) in the worst (deterministic), stoc... The order of computational complexity of all bounded linear functional ap proximation problem is determined for the generalized Sobolev class Wp?(Id), Nikolskii class H|∞k(Id) in the worst (deterministic), stochastic and average case setting, from which it is concluded that the bounded linear functional approximation problem for the classes Wp?(Id) and H∞k(Id) is intractable in worst case setting, but is tractable with respect to stochastic and average case setting. 展开更多
关键词 worst (deterministic) case stochastic case average case setting bounded linear functional error estimate
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