This significant reduction in compute processing time enables an increase in the number of scenarios run 顯著地降低計(jì)算處理時(shí)間可以增加運(yùn)行場景的數(shù)量。
The proposed algorithm aims at reducing the redundant sample points . in the whole computing process , i . . 通過與已有的經(jīng)典算法進(jìn)行比較,實(shí)驗(yàn)結(jié)果表明該算法具有顯著的效果。
This paper states design approach , computing process and result of microcavity organic light - emitting device ( moled ) 論文論述了微腔有機(jī)發(fā)光器件( moled )的設(shè)計(jì)方法、計(jì)算過程和結(jié)果。
It ’ s very useful to denoise images which are polluted severely , but this models can ’ t provide clear expression , each coefficient needs a alternate compute process to get the final result 層間模型可以利用相鄰尺度間小波系數(shù)的依賴性,對于被噪聲污染很嚴(yán)重的圖像效果較為明顯。
In addition , detailed thoughts and computing process of the model are presented . the analysis shows that multi - factor apt model can provide higher income and give investors reliable suggestion 分析表明:對于為充分分散化的投資組合定價(jià),多因素套利定價(jià)理論能夠?yàn)橥顿Y者進(jìn)行投資決策提供良好的建議,以獲得較高的收益。
In details , the major contributions of this thesis are as the following : as , we know , distributed suboptimal method need complex compute processing and ca n ' t be used in the system containing more than 3 sensors 針對分布式次優(yōu)融合方法迭代計(jì)算復(fù)雜、無法用于多于三個傳感器的系統(tǒng)的現(xiàn)狀,提出了消除相關(guān)估計(jì)方差的分布式算法。
From the least complementary principle , the general expressions of deformable consistency equations are derived . for realizing the compute processes of the flexibility method , the matrices of internal forces and the coefficient matrices are presented 有了變形協(xié)調(diào)方程就可以進(jìn)行內(nèi)力計(jì)算了,為了用計(jì)算機(jī)實(shí)現(xiàn)力法的計(jì)算過程,給出了內(nèi)力的矩陣表達(dá)式及系數(shù)矩陣的形成方法。
Secondly , method of extension evaluation is innovatively applied to establish the evaluation model of the bottom risk factors , extension synthesis model and extension identification model of every level risk . at the same time , ahp is applied to portray the relative weight of the risks of every level and the computing process 隨后,創(chuàng)造性地運(yùn)用可拓學(xué)中的可拓評判方法建立了底層風(fēng)險(xiǎn)因素的評判模型,以及各層風(fēng)險(xiǎn)的可拓綜合與可拓辯識模型,在模型的建立中運(yùn)用層次分析法刻畫各層風(fēng)險(xiǎn)的相對權(quán)重以及計(jì)算過程。