worst-case complexity

基本解釋

Reasoners for OWL DL, while dealing with a decidable sublanguage, will be subject to higher worst-case complexity.
而OWL DL的推理機處理的盡管是一個可判定的子語言，會有更高的最壞情況復(fù)雜度。
The most attractive property of GS-SVMs is that its computational complexity in the worst case only scales quadratically with the size of training samples.
貪婪分階段支持向量機最吸引人的優(yōu)點是在最差情況下，它的計算復(fù)雜度僅是訓(xùn)練樣本數(shù)的平方。
The worst-case complexity estimate reveals that the direct applications of these algorithms are not computationally feasible for large-scale instances due to excessive memory requirements.
由于這些算法對內(nèi)存的過度需求，導(dǎo)致我們無法在合理的時間內(nèi)求解大數(shù)據(jù)量問題。