lattice n. 1.格子。 2.【物理學(xué)】點陣;網(wǎng)絡(luò)。 3.【建筑 ...
distribution n. 1.分配,分發(fā),配給;分配裝置[系統(tǒng)];配給品;配 ...
lattice n. 1.格子。 2.【物理學(xué)】點陣;網(wǎng)絡(luò)。 3.【建筑】格構(gòu)。 crystal lattice 晶體;【物理學(xué)】點陣,晶格。 a lattice frame 格子框架。 vt. 1.把…制成格子狀。 2.用格子覆蓋[裝飾]。
distribution n. 1.分配,分發(fā),配給;分配裝置[系統(tǒng)];配給品;配給量;【經(jīng)濟學(xué)】配給方法,配給過程;分紅;【法律】(無遺囑死亡者的)財產(chǎn)分配。 2.分布,配置,分布狀態(tài);【生物學(xué)】(生物的)分布范圍;【無線電】頻率分布。 3.分類,整理,區(qū)分。 4.【電學(xué)】配電;【機械工程】配汽;【印刷】拆版;【邏輯學(xué)】周延(性)。 5.銷售。 the distribution of wealth 財富的分配。 the accurate distribution of zoological specimens 動物品種的精確分類。 live on charitable distributions alone 完全依靠配給救濟品生活。 the distribution of coniferous forests 針葉林的分布范圍。 the distribution of troops 部隊配置。 The distribution of our school paper is now 3000. 我們校刊的發(fā)行量現(xiàn)在是3000份。 We have a good harvest but our distribution is bad. 我們豐收了,但是產(chǎn)品賣不出去。
In this paper , we use the idea of the classical risk model and consider a continuous - time risk model with inter - occurrence times following the deficit - time geometric distribution . by an application of the key renewal theorem in the case of the lattice distribution we derive lundberg bounds , cramer - lundberg approximations to the ruin probability and finite - horizon lundberg inequalities 本文利用經(jīng)典風(fēng)險模型的思想,對索賠到達(dá)時間間隔服從虧時幾何分布的連續(xù)時間風(fēng)險模型做了進(jìn)一步的研究,應(yīng)用關(guān)鍵更新定理(格點分布的情形) ,得到了破產(chǎn)概率的lundberg界, cram r - lundberg逼近以及有限時間破產(chǎn)概率的lundberg不等式。
The algorithm transforms 2 - dimesion image data to 1 - dimension data by projecting the character binary image on vertical and horizon direction , as to a character image of w x h size , it reduced the operation time from about w + h level to about w x h level compared to the traditional algorithm and greatly reduced the time complexity of later processing , meanwhile it saved enough vertical and horizon lattice distribution information of the character 算法通過將字符二值化點陣圖像進(jìn)行垂直與水平方向投影,實現(xiàn)了從二維圖像數(shù)據(jù)到一維數(shù)據(jù)的轉(zhuǎn)化,對于w h大小字符圖像,相對于傳統(tǒng)算法,本算法將運算量從w h數(shù)量級將至w + h數(shù)量級,大大降低了后續(xù)處理運算的時間復(fù)雜度,同時保留了足夠的關(guān)于字符垂直及水平點陣分布的特征信息。