The initial input control value after open ( ) is implementation - defined 之后,輸入的初始控制值由實現(xiàn)定義
Estimating the variance of the initial input data of inverse problem in one realization of a stochastic process 由隨機(jī)過程的一次實現(xiàn)估計輸入數(shù)據(jù)的方差
Small differences in initial input can have dramatically different results after several cycles throught the system 初始輸入小的差異通過系統(tǒng)好幾個循環(huán)之后就可以戲劇性地具有不同結(jié)果。
Given a description of a program and its initial input , determine whether the program , when executed on this input , ever halts completes 給出一個程序的描述和它的初始輸入,決定程序在該輸入下運行時會不會停止(完成) 。
This algorithm is also has random of ant colony algorithm , avoid clustering getting into local optimality , and avoid sensibility of the initial partition , for the initial input is got by the ant - based algorithm 該算法還保持螞蟻聚類算法的優(yōu)點:利用螞蟻算法的隨機(jī)性,避免聚類分析過程陷入局部最優(yōu),初始中心由基于螞蟻聚類算法得到,避免了k ? means等算法對初始值的敏感性的缺點。
Under assumptions that the total input and initial input quantities do not increase , with the goals of maximizing gdp , maximizing social net income , ensuring the suitable relative sizes of primary , secondary and tertiary industrial sectors and so on , a positive analysis is given by using the input - output data of guangdong province 在不增加總投入和總初始投入的假設(shè)條件下,以極大化國內(nèi)生產(chǎn)總值、極大化社會純收入以及保證三次產(chǎn)業(yè)合適比例等為目標(biāo),使用廣東省的投入產(chǎn)出資料進(jìn)行實證分析。
In the paper , we propose an algorithm of finding the initial input based on the sub - sample theory . according to the test data , the novel algorithm not only decreases the sensitivity but also generates better quality clusters . the second shortcoming is that the clustering algorithm can not solve the dynamic data very well 目前的聚類分析算法普遍存在著初值敏感的缺點,本文以小樣本理論為基礎(chǔ),提出了從小樣本集中得到初值的算法,在降低了對初值的敏感性的同時,提高了聚類的效果。
Abstract : by using the pulse - sequence model , the inverse problem of amplification of broad - spectral - bandwidth laser pulse has been studied , i . e . , to find the initial input temporal pulse profile , spatial profile , spectral distribution and fluence from the required output temporal , spatial pulse profile , spectral distribution and fluence as well as the given amplifier parameters 文摘:采用脈沖分割模型,研究了寬頻帶激光脈沖放大的逆問題,即由所要求的輸出激光脈沖時間、空間波形、光譜分布和能量密度,并給定放大器參數(shù)情況下,求輸入激光脈沖時間波形、空間、光譜分布。