an algorithm can call an algorithm for a sub-solution 翻译

阴紧广海2022-10-04 11:39:541条回答

an algorithm can call an algorithm for a sub-solution 翻译
计算机课程的原文

已提交,审核后显示!提交回复

共1条回复
我的手心太阳 共回答了18个问题 | 采纳率88.9%
一个算法可以称为子解的一种算法
1年前

相关推荐

An SE-tree-based prime implicant generation algorithm* 中的SE-
An SE-tree-based prime implicant generation algorithm* 中的SE-tree-based 应该怎么翻译?
kefeiyu1年前1
zhanglizhou 共回答了10个问题 | 采纳率80%
SE-tree stands for:Set Enumeration Tree.
Ron Rymon of Department of Computer and Information Science,University of Pennsylvania,introduced in his 1992 paper the concept of the Set-
Enumeration (SE)-tree as a vehicle for representing sets and/or enumerating them in a best-first fashion.
英语翻译We begin by analyzing the error bounds for our algorithm
英语翻译
We begin by analyzing the error bounds for our algorithm and showing that it converges more closely to the ground truth for an appropriately chosen aperiodic pixel layout than for a periodic one.
我有意见可我不说1年前1
7ftsatg 共回答了16个问题 | 采纳率87.5%
我们从为我们的算法分析错误边界开始.分析显示出它对于经过适当选择的非周期像素布局更接近地面实况,而不是周期的像素布局.
英语翻译The 3n + 1 problem Consider the following algorithm to g
英语翻译
The 3n + 1 problem
Consider the following algorithm to generate a sequence of numbers.Start with an integer n.If n is even,divide by 2.If n is odd,multiply by 3 and add 1.Repeat this process with the new value of n,terminating when n = 1.For example,the following sequence of numbers will be generated for n = 22:
22 11 34 17 52 26 13 40 20 10 5 16 8 4 2 1
It is conjectured (but not yet proven) that this algorithm will terminate at n = 1 for every integer n.Still,the conjecture holds for all integers up to at least 1,000,000.
For an input n,the cycle-length of n is the number of numbers generated up to and including the 1.In the example above,the cycle length of 22 is 16.Given any two numbers i and j,you are to determine the maximum cycle length over all numbers between i and j,including both endpoints.
Input
The input will consist of a series of pairs of integers i and j,one pair of integers per line.All integers will be less than 1,000,000 and greater than 0.
Output
For each pair of input integers i and j,output i,j in the same order in which they appeared in the input and then the maximum cycle length for integers between and including i and j.These three numbers should be separated by one space,with all three numbers on one line and with one line of output for each line of input.
Sample Input
1 10
100 200
201 210
900 1000
Sample Output
1 10 20
100 200 125
201 210 89
900 1000 174
qjqro99081年前2
穎儿 共回答了16个问题 | 采纳率100%
是个数学问题,不要机器翻译,出入很大,你的分太少,高手注意不到!
翻译,IT句子英文翻译1. discuss fast-factoringalgorithm can be used to
翻译,IT句子英文翻译
1. discuss fast-factoringalgorithm can be used to break RSA algorithm.
gotirin1年前3
玲伟 共回答了15个问题 | 采纳率93.3%
讨论快速因式分解算法可以用来打破RSA算法.
英语翻译Critical parameters of a genetic algorithm are size of t
英语翻译
Critical parameters of a genetic algorithm are size of the population,mutation rate,number of iterations (i.e.generations),etc.In this study,population size of 50,crossover rate of 1.0,mutation rate of 0.1,bit number for each variable of 16 and number of generations of 2500 are employed.Optimization history with iterations for warpage is shown in Fig.7.Since GA converges to an optimum after about 250 iterations,optimization history only up to 250 iterations is demonstrated in Fig.7.Warpage values on reference points for before and afteroptimization arecompared in Table 6.As seen inTable6,warpage values at most of the reference points are reduced significantly although they are slightly increased at some points.When maximum warpage is considered,it is seen that maximum warpage on the lamp base model,which is2.47mm before the optimization,is reduced to 1.32mm by 46.5% after optimization.In Table6,(-)and (no sign,i.e.+) values indicate reduction and increase in warpage respectively at reference points.
加上这一段基本就要全部完成了,
蝴蝶与沧海1年前2
maanshansh 共回答了21个问题 | 采纳率85.7%
遗传算法的临界参数是 :初始群体大小,变异率,迭代步数,例如繁殖数等.在这课题中,初始群体大小是50,交叉率是1.0,变异率是0.1,采取了每个16的变动及2500的迭代数的数位.优化历史包括翘曲历程显示在数字7.遗传算法在约250个迭代步数后聚集于最优化,优化历史仅上升至250个迭代步数就证明到数字7 .翘曲值域在参考各点的优化值先后被合并在列表6.如列表6所示,翘曲值在大多数参考点明显减少,尽管他们在某些点略微增长.当考虑到最大翘曲度时,看来在灯基模型上,最大翘曲度在最优化前的2.47mm,有46.5%的几率在最优化后就减少到1.32mm .在列表6中,(-)和(无符号,也就是+)值域表示翘曲度在各自的参考点的减少和增加.
英语翻译the AUTO model algorithm is a method of energizing the s
英语翻译
the AUTO model algorithm is a method of energizing the second stage gas valve based on the recent average of the heating duty cycle .during a typical heating day,the low to high stage delay is determined by using the average calculated duty cycle from the table below.
huibb1年前1
swtangtang 共回答了16个问题 | 采纳率75%
汽车模型算法的振兴第二阶段的基础上,最近的平均加热占空比的煤气阀的方法.在一个典型的供暖日,是由低到高阶段延迟从下表计算的平均占空比.
英语翻译卡尔曼滤波是一个“optimal recursive data processing algorithm(最优化
英语翻译
卡尔曼滤波是一个“optimal recursive data processing algorithm(最优化自回归数据处理算法)’,它是根据上一状态的估计值和当前状态的观测值推出当前状态的估计值的滤波方法,是一种递推的过程.
首先引入一个离散控制过程的系统.该系统可用一个线性随机微分方程(Linear Stochastic Difference equation)来描述:
X(k)=A X(k-1)+B(U(k)+W(k)) (10)
再加上系统的测量值:
Y(k)=C X(k)+V(k) (11)
其中:X(k)——k时刻的系统状态,
U(k)——k时刻对系统的控制量.
A和B——系统参数,对于多模型系统,他们为矩阵.
Y(k)——k时刻的测量值,
C——测量系统的参数,对于多测量系统,C为矩阵.
W(k)和V(k)——过程和测量的噪声.他们被假设成高斯白噪声(White Gaussian Noise),他们的协方差(covariance )分别是Q,R.
yy男爵1年前1
时代年华 共回答了25个问题 | 采纳率88%
Kalman filter is a "optimal recursive is done may regression data processing (optimization algorithm) ', it is according to the estimate of a state of the current state and the observations of the current state launched the estimate of filter method, is a recursive process.
At first introduces a discrete control process system. The system can be used a Linear Stochastic differential equation (Linear Stochastic heading gaap) on to describe:
X (k) = A X (k-1) + B (U (k) + W (k)) (10)
Plus the measured value of the system:
Y (k) = C X (k) + V (k) (11)
Among them: X (k)-time of the system status, k
U (k)-k for the control system of time.
A and B-system parameter, for many model system, they for the matrix.
Y (k)-k the measured value of the moment,
C-measuring the parameters of the system for measuring system, more, C for matrix.
W (k) and V (k)-process and measurement noise. They were hypothesis into White Gaussian White Gaussian Noise (home), their covariance (covariance) respectively is Q, R.
望采纳
高分求英文翻译,机器走开The paper deals with the new algorithm of animat
高分求英文翻译,机器走开
The paper deals with the new algorithm of animation of 3D model of the human head in combination with its global motion. The designed algorithm is very fast and with low calculation requirements, because it does not need the synthesis of the input videosequence for estimation of the animation parameters as well as the parameters of global motion. The used 3D model Candide generates different expressions using its animation units which are controlled by the animation parameters. These ones are estimated on the basis of optical flow without the need of extracting of the feature points in the frames of the input videosequence because they are given by the selected vertices of the animation units of the calibrated 3D model Candide. The established multiple iterations inside the designed animation algorithm of 3D model of the human head between two successive frames significantly improved its accuracy above all for the large motion.
怒江21年前1
成为娜姆 共回答了14个问题 | 采纳率85.7%
正确翻译:文章论述了新算法的动画的三维模型 结合人体头部其全球的运动.设计算法的计算速度很快,要求比较低,因为它不需要综合的输入videosequence动画的参数估计方法以及参数的全球运动.常用的三维模型Candide产生不同的表情动画单元用它所控制的参数.这些人是估计的基础上,而不需要光流的特征点提取的输入框中,因为它们是由videosequence选择点动画单元的三维模型Candide标定.所建立的多重迭代算法设计动画内部的三维模型之间的连续两帧人类头部明显改善其准确性高于一切的大动作..
英语翻译Design an algorithm that will read an array of 200 chara
英语翻译
Design an algorithm that will read an array of 200 characters and display to the screen a count of the occurrences of each of the five vowels (a,e,i,o,u) in the array
园明居士1年前4
glomlg 共回答了15个问题 | 采纳率100%
设计一个能阅读200字母系列,并能显示在屏幕上计数出现的五个元音 (a,e,i,o,u) 完整系列的方程式.
英语翻译3.PROPOSED ALGORITHM The proposed dynamic evolutionary a
英语翻译
3.PROPOSED ALGORITHM
The proposed dynamic evolutionary algorithm exploits evolutionary progress history to adapt the current population to the new environment.The algorithm introduces shifts in the decision space,the so-called relocations,which try to account for the estimated amount of change in the objective space.A complete description of the proposed algorithm is presented in detail next.represents the DOP we want to optimize; represents the -dimensional decision vector,and denotes the th-dimension decision variable.A nomenclature table is given in Appendix A for quick reference.For the discussion of this paper,the DOP is assumed to be a maximization problem.Note that a minimization problem can be converted into a maximization problem by multiplying with .denotes the child’s evolutionary progress in the th-dimension of the decision variable with respect to its parents.It is measured as the difference between the th-dimension decision variable of a child and that of the centroid of its parents.This can be mathematically expressed as (2) The evolutionary fitness progress,,of a child with respect to its parents is measured as the difference between the fitness,,of a child and the interpolated fitness of its parents.The interpolation is based on the distance between a child and its parents .The farther a parent is from its child,the lesser is its contribution to the interpolated fitness,as shown in (3a)–(4) at the bottom of the page.The average evolutionary progress in the th-dimension decision variable of a child can be obtained as the weighted sum of the child’s and the average evolutionary progress in the th-dimension decision variable of its parents.The same is true for the child’s average evolutionary fitness progress ,except that we use the interpolated value of its parents’ average fitness progress,as shown in (5) and (6) at the bottom of the next page,where denotes the total number of generations either from the start of an evolutionary process or the last occurrence of change,whichever was more recent,up to the current generation.On the other hand,represents the weight given to previous evolutionary progresses relative to the current one.Using ,the weighted average is equivalent to taking a simple average of all the individual progresses (total sum divided by number of generation).This means that the effect of all the previous and values starting from the recent occurrence of change is accumulated and does not diminish through time.
破名难取1年前1
aa新娘 共回答了16个问题 | 采纳率100%
3.算法
提出利用动态进化算法演化过程的历史上适应当前人口向新的环境.该算法制决定了空间,所谓的重定位,试著去说明预算金额的改变的目的空间.的完整描述了该算法的详细介绍了next. DOP我们想优化决策;代表维向量,表示了th-dimension决策变量.一个命名法在附录A表给出了快速参考.讨论了增塑剂DOP被认为是一个最大化问题.需要指出的是,最小化问题能被转换成最大化问题.是指乘以孩子的演化过程的决定th-dimension变量相对于他的父母.这是成为衡量th-dimension决策变量之间的差距的孩子和质心的父母.这可以被数学表示为(2)进化健身的进步,、从小的时候就其父母量之间的差异,健身,孩子和插入的状态良好的他的父母.插值是基于距离的孩子和他的父母.父母越远从它的孩子,这是驳不倒的健身插值做出了贡献,显示在(3a)-(4)这页纸的底部.在演化过程平均的决策变量th-dimension获得能使一个小孩子加权和的孩子的,平均演化过程在th-dimension决策变量的父母.这同样适用于孩子的平均进化健身的进步,除了我们使用插值值父母的平均健身进步,显示在(五)、(六),在底部的页面,在总数量是指可以从几代人的evolu开始的时候
计算机算法的题Develop an algorithm which takes as input a single 9-
计算机算法的题
Develop an algorithm which takes as input a single 9-digit integer representing a Social Insurance Numbers (SIN) and determines whether or not it is valid.The algorithm should output if the SIN is valid or not.The rules determining the validity of a SIN are best described in an example.Consider the number 620187252 as a possible SIN number.Positions specified below are read from right to left and counting starts from 1.
1.Multiply every even positioned digit by 2.
(2x2=4,1x2=2,7x2=14,5x2=10)
2.For each result from step 1 add all the digits from each result together.
(4+2+1+4+1+0 = 12)
3.Add the last 4 odd positioned digits of the SIN together.
(6+0+8+2 = 16)
Page 4 of 4
4.Add the results of steps 2 and 3 together.
(12+16 = 28)
5.Subtract the units digit of the total from step 4 from 10,unless the units digit is 0,in which case use it.
(10-8 = 2)
6.A SIN is valid if the digit from step 5 is the same as the least significant digit in the SIN and the most significant digit matches a used region digit according to the following list:
0 not used
1 Atlantic Provinces
2 Quebec
3 not used
4 Ontario
5 not used
6 Prairie Provinces
7 British Columbia
8 not used
9 not used
(in the example,the SIN is a valid number which was issued in the Prairie Provinces)
yicling1年前1
silencewx 共回答了21个问题 | 采纳率90.5%
#include
#include
#include
#define N 9
int main()
{
x05char *region[]={"not used",
x05x05"Atlantic Provinces",
x05x05"Quebec",
x05x05"not used",
x05x05"Ontario",
x05x05"not used",
x05x05"Prairie Provinces",
x05x05"British Columbia",
x05x05"not used",
x05x05"not used",
x05};
x05char SIN[N+1];
x05printf("input %d digit SIN #:",N);
x05fflush(stdin);
x05fgets(SIN,N+1,stdin);
x05
x05int i=0;
x05int step1_result[N/2];
x05char step1[N]={' '};
x05int step2_sum=0;
x05//step 1 偶数位上的数乘以2,保存在数组step1_result中
x05// 字符数组step1把上面的结果各位数字转换成对应数字字符保存起来
x05while(i
英文翻译 急~~~在线等One of the data mining algorithm decision trees
英文翻译 急~~~在线等
One of the data mining algorithm decision trees are used in profiling as a predictive model that, as its name implies, can be viewed as a tree. Specifically each branch of the tree is a classification question and the leaves of the tree are partitions of the dataset with their classification (Berson et. al., 2000). From a business perspective decision trees can be viewed as creating a segmentation of the original dataset (each segment would be one of the leaves of the tree). Segmentation of customers, products, and sales regions is something that marketing managers have been doing for many years. In the past this segmentation has been performed in order to get a high level view of a large amount of data - with no particular reason for creating the segmentation except that the records within each segmentation was somewhat similar to each other. In this case the segmentation is done for a particular reason - namely for the prediction of some important piece of information. The records that fall within each segment fall there because they have similarity with respect to the information being predicted - not just that they are similar - without similarity being well defined. These predictive segments that are derived from the decision tree also come with a description of the characteristics that define the predictive segment. Thus the decision trees and the algorithms that create them may be complex; the results can be presented in an easy to understand way that can be quite useful to the business user. Decision tree algorithms were suitable for profiling because they are visual and easy-to-understand, easily interpretable, and they allow establishment of rules. With the series of rules obtained from decision trees would be possible to create profiles of firms and then classify firms in terms of levels of financial distress by using such profiles. For each profile the most important financial distress signals as an early warning, which affected the financial position.
rr北南京南1年前1
中大一旧云 共回答了20个问题 | 采纳率90%
一个数据挖掘算法决策树用于貌相作为预测模型,如它的名字,可以被看作是一个树状结构.具体来说每个分支树是一个分类问题和叶子树分割的DataSet的分类(博生等.基地.,2000年)
.从商业角度来看决策树可以被看作是建立一个分割的原始数据(每一部分将是叶子的树) .细分客户,产品和销售区域是一些营销经理一直在做了许多年.在过去的这个分割已完成,以获得高级别鉴于
大量的数据-特别是没有理由的分割创造的记录,但在每个细分有点类似对方.在这种情况下,分割是一个特殊的原因-即预测的一些重要信息.记录属于每一部分下降,因为次
鳄鱼有相似性方面的信息预测-不只是他们是相似的-不相似正在得到很好的界定.这些预测部分是来自决策树也描述的特点,确定了预测部分.因此,决策树和算法,建立吨
出血可能是复杂的结果可以在一个容易理解的方式,可以是非常有益的商业用户.决策树算法适合貌相,因为它们是视觉和易于理解的,很容易解释,并允许他们建立规则.随着一系列规则获得决策树将有可能创造的公司简介,然后分类,公司在各级的财务困境使用这种配置.每个配置文件最重要的金融遇险信号作为一个预警,这影响到财务状况.
英语翻译Compound Phase-stepping Algorithm by Lissajous Figures T
英语翻译
Compound Phase-stepping Algorithm by Lissajous Figures Technique
and Iterative Least-squares Fitting
crammerboy1年前1
paolopietro 共回答了23个问题 | 采纳率82.6%
基于里萨数字技术的复合相步进算法和迭代最小二乘法拟合
急需查询文章是否被EI检索.Research and Improvement of the Algorithm to E
急需查询文章是否被EI检索.
Research and Improvement of the Algorithm to Extract Association Rules Based on Concept Lattice
Shi-min Zhang
game20461年前1
马不停蹄地忧伤 共回答了18个问题 | 采纳率72.2%
已经被EI检索收录!
具体信息:
Research and improvement of the algorithm to extract association rules based on concept lattice
Zhang,Shi-Min (Zibo Vocational Institute,Zibo,Shandong 255314,China) Source:Communications in Computer and Information Science,v 288 CCIS,n PART 1,p 152-158,2012,Communications and Information Processing - International Conference,ICCIP 2012,Revised Selected Papers
Database:Compendex
谁能帮忙查下这篇文章的EI检索号:An Algorithm for medical imaging Identifica
谁能帮忙查下这篇文章的EI检索号:An Algorithm for medical imaging Identification Based on Edge Detec
涅磐大叔1年前1
新泡报一小厮 共回答了14个问题 | 采纳率85.7%
Accession number: 20104913453971
Title: An algorithm for medical imaging identification based on edge detection and seed filling
Authors: Wang, Da-Xi ; Yuan, Fang ; Sheng, Huang
英语翻译The most popular exact inference algorithm is a variant
英语翻译

The most popular exact inference algorithm is a variant of the Junction Treealgorithm,
called Eelief Propagation (BP) [53].In BP,we propagate a set of messages carrying the in-
teraction information through a tree modeluntil they achieve consistency.The marginals or
modes of the model distribution can becomputed from those messages.Two key compogents
in the BP algorithm are the way thatmessages are exchanged between neighboring nodes and the global protocol for the message propagation [41,89].
从第二段开始 图片为准,请参照图片,
我爱黑mj1年前1
Tears111 共回答了17个问题 | 采纳率82.4%
使用最多的精确推算算法是联合树算法的一个变体,被称为贝力弗扩散.在这种算法中,扩散一套信息时,同时通过一个树模型携带交互信息,直到达到一致.BP算法中的两个关键组件是相邻节点的信息交换方式,以及信息扩散的全球性协议.
英语翻译Use Psendocodeto write an algorithm:Read a number N,then
英语翻译
Use Psendocodeto write an algorithm:Read a number N,then multiply all the numbers from 1 toN (for example :if N is 5 then add 1*2*3*4*5),Print out the final product.
yang1984mm1年前3
ftcr997 共回答了28个问题 | 采纳率85.7%
用psendocode(伪码)写一个算法:
读一个数N
然后把从1到N的数全部乘起来(比如:N=5,那么结果就是1*2*3*4*5)
打出最终的结果.
这个题目的答案是:
Read a N;
int n=N;
int result=1;
while(n>=1)
{
result=n*result;
n=n-1;
}
print out result;
请问一个英语改错问题?Customer watermark embedding algorithm is based o
请问一个英语改错问题?
Customer watermark embedding algorithm is based on DWT.Make four wavelet decompositions on the original image,and add appropriate strength watermark information to the low frequency wavelet coefficients of the fourth decomposition,so that we can obtain a solution containing a watermark image after IDWT.The watermark embedding formula is:
V'i = Vi + αWi (2)
Wherein,Vi is the original image information and V'i is the watermarked image information,Wi is the watermark information,α is the embedding strength.According to the inverse process of the embedding watermark,we can easily extract the watermark.This method is simple and practical,and robustness.The study of watermark embedding algorithm based on the wavelet domain has considerable depth,this article does not describe them in detail,the specific process steps refer to the literature [7].Customer watermark embedding process is shown in Figure 3.
请问上面一段话,请改正,
ddde球迷1年前1
十一月的雨927 共回答了16个问题 | 采纳率87.5%
,so that we can 改成 toWherein,改成 Whereinverse process of the embedding watermark watermark 加 ssimple and practical,and robustness.除掉 ,and robustnessThe study of watermark embedding algorithm 加 ...
The basic notion of what’s an algorithm
The basic notion of what’s an algorithm
能不能分析这个of后面的英语结构语法
bkpp1年前1
wdgr960611 共回答了22个问题 | 采纳率90.9%
of后面是个从句,what is an algorithm,什么是algorithm的基本概念.
what做连接词,连接从句并在从句中充当主语.
请问这篇文章是否被EI收录?名字《lmproved JPDA Algorithm with Measurements A
请问这篇文章是否被ei收录?
名字《lmproved jpda algorithm with measurements adaptively ***ed》,
动漫产业1年前3
huanghx0903 共回答了19个问题 | 采纳率78.9%
http://www.***.org/controller/servlet/Controller?CID=quickSearchCitationFormat 这是结果页,应该是收录了,但是我看不明白,你再看看吧
英语翻译This learning algorithm maps the low dimensional dataset
英语翻译
This learning algorithm maps the low dimensional datasets to the high dimensional feature space,and aims to solve a binary problem by searching an optimal hyperplane which can separate two datasets with the largest margin in the high dimensional space.
这种学习算法把低维数据集映射到高维特征空间,并且旨在通过搜索一个最优超平面来解决一个二进制(二元)问题,这个超平面能用高维空间最大间隔分开2个数据集.
As shown in Fig.2,the optimal hyper plane is defined by wx06x + b = 0,where x is the point lying in the hyperplane,w is the parameter for the orientation of hyperplane,and b is a scalar threshold which represents the bias from the margins
如图2(Fig2)所示,最优超平面由wx06x+ b = 0定义,其中x是超平面上的一个点,w是超平面取向(定位)参数,b是一个标量阈值,代表间隔偏差(边缘偏差).
失落的勇气1年前1
itar 共回答了25个问题 | 采纳率88%
你好!
This learning algorithm maps the low dimensional datasets to the high dimensional feature space, and aims to solve a binary problem by searching an optimal hyperplane which can separate two datasets with the largest margin in the high dimensional space.
这种学习算法把低维数据集映射到高维特征空间,它的目的是通过找出一个能够在高将纬度特征空间内分成两个最大化的合集的最优化超平台来解决二进制的问题.
As shown in Fig. 2, the optimal hyper plane is defined by wx + b = 0, where x is the point lying in the hyperplane, w is the parameter for the orientation of hyperplane, and b is a scalar threshold which represents the bias from the margins
如图2(Fig2)所示,最优超平面符合wx+ b = 0的条件,等式中x是超平面上的特定点,w是超平面取向(定位)参数,b是一个标量阈值,代表间隔偏差(边缘偏差).
希望帮到了你 祝你好运!
求这篇论文的中文译文:《An Efficient k-Means Clustering Algorithm:Analys
求这篇论文的中文译文:《An Efficient k-Means Clustering Algorithm:Analysis and Implementation》
如题,求《An Efficient k-Means Clustering Algorithm:Analysis and Implementation》的中文版论文,作者是
Tapas Kanungo,Nathan S.和Angela Y.Wu,
马蹄莲啊马蹄莲1年前1
bat4785 共回答了17个问题 | 采纳率88.2%
参考21.人跟人真是不一样的,不仅仅是指纹.
英语翻译整句话是这样的:Before the data reconciliation algorithm was imp
英语翻译
整句话是这样的:Before the data reconciliation algorithm was implemented in the distributed control system of the respective plant
heye1111131年前1
42579946 共回答了23个问题 | 采纳率95.7%
数据协调计算程序在各厂的分布式控制系统执行之前 respective plant 各厂
类程序设计语言,PDL,N-S图,algorithm
janeleee1年前1
raoli005 共回答了17个问题 | 采纳率94.1%
类程序设计语言:
介于伪码和某种语言之间的类语言,一般用做描述工具.类,也就是像的意思,在机器上真正的实现还是要另外再编写的,只是为了描述方便而产生的语言.
PDL:
页描述语言Page Descriptional Language,也就是所谓的打印语言.功能强大,能输出复杂的页面和图像,但由于其复杂性处理起来的速度也相对较慢.
N-S图:
编程过程中常用的一种分析工具,提出了最初分析问题方法.N-S的三种语句:顺序语句、分支语句和循环语句可模拟出事件.
algorithm
即算法,是对特定问题求解步骤的一种描述.是由一个或多个操作的指令的有限序列.具有有穷性,确定性,可行性和输入输出的特性.
一个句子可以用多个连词么This scheduling algorithm always chooses theuser
一个句子可以用多个连词么
This scheduling algorithm always chooses the
users who have best channel conditions,so it guarantees the system throughput,
however fairness among users is very bad.
sunwoaini1年前3
peterson123 共回答了19个问题 | 采纳率100%
可以哟 一个句子的连词数=谓语动词-1 就是说一个句子如果想有2个谓语动词,必须要一个连词连接,有时候如果你发现没有连词,有可能是被省略了 ( that在宾语从句中若充当宾语,则可省略)
帮忙看下这篇文章是否被EI收录new algorithm of encryption in non-cooperatio
帮忙看下这篇文章是否被EI收录
new algorithm of encryption in non-cooperation IFF system,可以查到已被IEEE xplore出版并被INSPEC收录,可查不到是否被EI或是ISTP收录,
文章详细信息如下:
A new algorithm of encryption in non-cooperation IFF system
Ya Zhang Bo Li ShiZhong Li
Mech.& Electron.Eng.Inst.,North Univ.of China,Taiyuan;
This paper appears in:Wireless Communication and Sensor Networks,2008.WCSN 2008.Fourth International Conference on
Publication Date:27-29 Dec.2008
On page(s):129-130
Location:Allahabad,
ISBN:978-1-4244-3327-8
INSPEC Accession Number:10459330
Digital Object Identifier:10.1109/WCSN.2008.4772696
Current Version Published:2009-02-06
如果被EI收录,请告知收录号
maigou1231年前1
墙外柳青 共回答了16个问题 | 采纳率100%
恭喜,已经检索
Accession number:20092812173903
Title:A new algorithm of encryption in non-cooperation IFF system
Authors:Zhang,Ya1 ; Li,Bo1 ; Li,ShiZhong1
Author affiliation:1 Mechanical and Electronic Engineering Institute,North University of China,Taiyuan 030051,China
Corresponding author:Zhang,Y.
Source title:Proceedings of the 4th International Conference on Wireless Communication and Sensor Networks,WCSN 2008
Abbreviated source title:Proc.Int.Conf.Wirel.Commun.Sensor Netw.,WCSN
Monograph title:Proceedings of the 4th International Conference on Wireless Communication and Sensor Networks,WCSN 2008
Issue date:2008
Publication year:2008
Pages:129-130
Article number:4772696
Language:English
ISBN-13:9781424433261
Document type:Journal article (JA)
Publisher:Inst.of Elec.and Elec.Eng.Computer Society,445 Hoes Lane - P.O.Box 1331,Piscataway,NJ 08855-1331,United States
Abstract:The technology of identification of friend or foe(IFF) has been extensively applied in the information warfare with the development of science and technology.The Algorithm of dynamic encryption based on current date as seed ,two times operation to the seed by two groups of keys,is put in Non-Cooperation IFF system in this paper,which data quantity is smaller and security,reliability,confidentiality also could meet the need of requirement,so it fit high dynamic and high mobility weapon system.© 2008 IEEE.
Number of references:3
Main heading:Cryptography
Controlled terms:Network security - Wireless sensor networks
Uncontrolled terms:Data quantity - Dynamic encryption - High dynamic - High mobility - Information warfare - On currents - Science and Technology - Weapon system
Classification code:732 Control Devices - 731.1 Control Systems - 723 Computer Software,Data Handling and Applications - 722.4 Digital Computers and Systems - 722.3 Data Communication,Equipment and Techniques - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716.3 Radio Systems and Equipment - 716 Telecommunication; Radar,Radio and Television
DOI:10.1109/WCSN.2008.4772696
Database:Compendex
Compilation and indexing terms,© 2009 Elsevier Inc.
数据结构多选题,求解1、An algorithm is a finite set of instructions tha
数据结构多选题,求解
1、An algorithm is a finite set of instructions that, if followed, accomplishes a particular task. In addition, all algorithms must satisfy the following criteria:
A.Input/Output
B.Definiteness
C.Finiteness
D.Effectiveness
海豚乐了1年前1
语轻 共回答了28个问题 | 采纳率89.3%
一个完整的算法应该具有下列五个要素:有穷性、确定性、可行性、有输入和有输出.
可知答案为A,B,C
英语翻译DNA computing based RNA genetic algorithm with applicati
英语翻译
DNA computing based RNA genetic algorithm with applications in
parameter estimation of chemical engineering processes
lemontrie1年前2
7moon 共回答了16个问题 | 采纳率87.5%
基于RNA遗传法则的DNA(匹配)计算及其在化学工程中作为参量估计的应用
progressive hedging algorithm这个方法怎么翻译?
leileillcan1年前1
sunxm4214 共回答了26个问题 | 采纳率92.3%
逐步对冲算法
帮忙查一下本文EI检索号?谢谢 New Discrete Particle Swarm Algorithm for Tr
帮忙查一下本文EI检索号?谢谢 New Discrete Particle Swarm Algorithm for Traveling Salesman Problem
王依帆1年前1
下雨了得嘛 共回答了22个问题 | 采纳率77.3%
Accession number:20094712469108
Title:Discrete fuzzy particle swarm optimization for solving traveling salesman problem
Authors:Niasar,N.Salmani1 ; Perdam,M.M.2 ; Shanbezade,J.2 ; Mohajeri,M.1
Author affiliation:1 Department of Computer Engineering,Sience and Research University,IAU,Tehran,Iran
2 Computer Engineering Department,Tarbiat Moallem University,Tehran,Iran
Corresponding author:Niasar,N.S.(Salmani.ai@gmail.com)
Source title:Proceedings - 2009 International Conference on Information and Financial Engineering,ICIFE 2009
Abbreviated source title:Proc.- Int.Conf.Inf.Financ.Eng.,ICIFE
Monograph title:Proceedings - 2009 International Conference on Information and Financial Engineering,ICIFE 2009
Issue date:2009
Publication year:2009
Pages:162-165
Article number:5189990
Language:English
ISBN-13:9780769536064
Document type:Conference article (CA)
Conference name:2009 International Conference on Information and Financial Engineering,ICIFE 2009
Conference date:April 17,2009 - April 20,2009
Conference location:Singapore,Singapore
Conference code:78293
Publisher:IEEE Computer Society,445 Hoes Lane - P.O.Box 1331,Piscataway,NJ 08855-1331,United States
Abstract:Discrete fuzzy PSO (D-FPSO) algorithm based on Continues fuzzy PSO is proposed in this paper.According to this new algorithm,charisma is defined to be a fuzzy variable,and more than one particle in each neighborhood is allowed to influence others to a degree that depends on its charisma.Shift-neighborhood and mutation is employed to improve convergence speed and avoid to becoming trapped in the local optima.D-FPSO is evaluated on the TSP problem,comparing performance to other methods based on PSO.© 2009 IEEE.
Number of references:13
Main heading:Particle swarm optimization (PSO)
Controlled terms:Offshore oil fields - Traveling salesman problem
Uncontrolled terms:Convergence speed - Disctere PSO - Fuzzy particle swarm - Fuzzy PSO - Fuzzy variable - Local optima - PSO - TSP - TSP problems
Classification code:512.1.1 Oil Fields - 674.2 Marine Drilling Rigs and Platforms - 723 Computer Software,Data Handling and Applications - 912.3 Operations Research - 921.5 Optimization Techniques
DOI:10.1109/ICIFE.2009.37
Database:Compendex
Compilation and indexing terms,© 2010 Elsevier Inc.
求助一道计算机算法题目Part D:(10 Marks)D.1 Write an algorithm of a prog
求助一道计算机算法题目
Part D:(10 Marks)
D.1 Write an algorithm of a program that will generate figures of n lines like in the
example for n=4 that is shown below.The input n is obtained from the user.
______*
____* * *
__* * * * *
* * * * * * *
You can use the following commands:
 PrintStar– prints the ‘*’ character.
 PrintSpace – prints one space (‘ ’) at a time.
 GoToNextLine – allows you to go to the next time.
Your algorithm will need to have for loops,one nested into another.
Sample output:
Enter the number of rows:4
______*
____* * *
__* * * * *
* * * * * * *
十弦1年前2
毛红江 共回答了11个问题 | 采纳率100%
The answer is followed:

As we can find that every '*' which is needed to be printed ,follows the rule that the Manhattan Distance between this point and the center point is always smaller than a constant number,which is the number of the lines we input.So we can get the codes like this:
#include
#include
int main(){
int center;
printf("Please input the number of lines:n");
scanf("%d",&center);
for(int i = 1;i <= center;++ i){
for(int j = 1;j < center + i;++ j){
int temp = abs(j - center) + abs(i - center);
if(temp < center) printf("*");
else printf(" ");
}
printf("n");
}
return 0;
}
英语翻译As expected,the algorithm performs very well,as seen in
英语翻译
As expected,the algorithm performs very well,as seen in the case of the LIN-maximizing algorithm perform- ing best for purely-relevance seeking users (and similarly for the MAX-maximizing algorithm and diversity-seeking users).However,an important result of the experiment is that even when the amount of diversity the user requires is unknown,the combination algorithm is able to learn the amount of diversity the user wants.It performs nearly as well as the case where the user’s diversity needs are known,as can be seen in the last row of the table.This shows that the combination algorithm is able to learn the trade- off between relevance and diversity that the user is looking for.This is very encouraging as it allows for the method to be used in scenarios where there is no a priori information about the desired amount of diversity.While related to re- cent work on extrinsic diversity [13],our method is an online learning technique and utilizes much weaker feedback than methods in [13] do.
南柯c一梦1年前1
应试zzzz 共回答了17个问题 | 采纳率76.5%
水平有限,会有不准确的地方.
正如预期的那样,该运算算法有很好,如在这种情况下LIN的最大化算法进行了最纯粹的计算寻求用户的相关性.(同样的最大化算法和多样性寻求用户).然而,实验的一个重要的结果是,使用户要求多样性的量是未知的,组合算法是能够了解用户的数量需求.它执行以及当该用户的多样性需求是已知的,可以在该表的最后一行看到.这表明,组合算法能学习贸易与贸易之间用户正在寻找的相关性和多样性.在允许使用的情况下,没有一个关于多样性所需的先验信息的方法非常令人鼓舞的.而重新外在多样性[ 13 ]分工作相关的,我们的方法是一个在线学习技术,利用弱的反馈比[ 13 ]的方法.
帮忙查EI收录否:Algorithm of diffraction for standing tree based on
帮忙查EI收录否:Algorithm of diffraction for standing tree based on the uniform geometrical theo
psg12301年前1
skyward 共回答了16个问题 | 采纳率87.5%
Accession number: 20122115047907
Title: Algorithm of diffraction for standing tree based on the uniform geometrical theory of diffraction
Source title: Journal of Software
Abbreviated source title: J. Softw.
Language: English
ISSN: 1796217X
Document type: Journal article (JA)
恭喜恭喜,文章被Ei收录.请及时采纳.
英语翻译In this paper,an image-stabilization algorithm is presen
英语翻译
In this paper,an image-stabilization algorithm is presented that
is specifically oriented toward video-surveillance applications.
The proposed approach is based on a novel motion-
compensation method that is an adaptation of a well-known
image-stabilization algorithm for visualization purposes to
video-surveillance applications.In particular,the illustrated
methods take into account the specificity of typical video-
surveillance applications,where objects moving in a scene ofen
cover a large part of an image thus causing the failure of classic
image-stabilization techniques.In the second part of the paper,
evaluation methods for image stabilization algorithms are
discussed.
苹果绿happy1年前1
丸子的梦 共回答了19个问题 | 采纳率78.9%
本文提出了一种image-stabilization算法,它
是专门面向video-surveillance应用.
本文提出的方法是根据小说改编的运动-
那是一种补偿方法适应面较著名的
image-stabilization可视化算法方面
video-surveillance应用.特别是,画报》
方法考虑专一的典型的视频-
视频监控系统中,在场景中物体移动经常
覆盖大部分的形象,从而使失败的经典之作
image-stabilization技术.在第二个部分的纸,
评估方法进行图像稳定算法
讨论.