1. 安装Keil C51 V8.16版本，即uV3 2. 打开uVision3，点击File---License Management...，打开License Management窗口，复制右上角的CID 3. 打开注册机， 在CID窗口里填上刚刚复制的CID，其它设置不变 4. 点击Generate生成许可号，复制许可号 5. 将许可号复制到License Management窗口下部的New License ID Code，点击右侧的Add LIC 6. 若上方的Product显示的是PK51 Prof. Developers Kit即注册成功，Support Period为有效期，一般可以到30年左右，若有效期较短，可多次生成许可号重新注册。
上传时间： 2016-02-25
上传用户：woshishabi
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
選Activate Product 然後下一步 進到了註冊畫面 將註冊機打開選擇Aster V7 2x 按Get Num產生註冊碼 將註冊碼複製到Aster的註冊畫面上,按下面的"其它" 將硬體代碼複製 將硬體代碼貼上註冊機上的Hardware ID後,按Get Key產生啟動碼後複製到註冊畫面的最下方.按下一步即可啟動
上传时间： 2016-08-22
上传用户：921005047
最近在学习Oracle，对测试人员而言必须掌握两种语言：第一种是DML，数据操纵语言 (Data Manipulation Language) 是SQL语言中，负责对数据库对象运行数据访问工作的指令集，以INSERT、UPDATE、DELETE三种指令为核心，分别代表插入、更新与删除。第二种是：DQL，数据查询语言 (Data Query Language) 是SQL语言中，负责进行数据查询而不会对数据本身进行修改的语句，这是最基本的SQL语句。核心指令为SELECT，以及一些辅助指令，如FROM、WHERE等，FROM：表示来源，可以搭配JOIN做链接查询； WHERE：过滤条件；GROUP BY：在使用聚合函数时用到，如SUM,COUNT,MAX,AVG；HAVING：对聚合结果进行筛选，这是和WHERE的不同点；ORDER BY：排序。
标签： oracle 基础 资料
上传时间： 2016-09-15
上传用户：天涯云海
批处理感知器算法的代码matlab w1=[1,0.1,1.1;1,6.8,7.1;1,-3.5,-4.1;1,2.0,2.7;1,4.1,2.8;1,3.1,5.0;1,-0.8,-1.3; 1,0.9,1.2;1,5.0,6.4;1,3.9,4.0]; w2=[1,7.1,4.2;1,-1.4,-4.3;1,4.5,0.0;1,6.3,1.6;1,4.2,1.9;1,1.4,-3.2;1,2.4,-4.0; 1,2.5,-6.1;1,8.4,3.7;1,4.1,-2.2]; w3=[1,-3.0,-2.9;1,0.5,8.7;1,2.9,2.1;1,-0.1,5.2;1,-4.0,2.2;1,-1.3,3.7;1,-3.4,6.2; 1,-4.1,3.4;1,-5.1,1.6;1,1.9,5.1]; figure; plot(w3(:,2),w3(:,3),'ro'); hold on; plot(w2(:,2),w2(:,3),'b+'); W=[w2;-w3];%增广样本规范化 a=[0,0,0]; k=0;%记录步数 n=1; y=zeros(size(W,2),1);%记录错分的样本 while any(y<=0) k=k+1; y=a*transpose(W);%记录错分的样本 a=a+sum(W(find(y<=0),:));%更新a if k >= 250 break end end if k<250 disp(['a为：',num2str(a)]) disp(['k为：',num2str(k)]) else disp(['在250步以内没有收敛，终止']) end %判决面：x2=-a2*x1/a3-a1/a3 xmin=min(min(w1(:,2)),min(w2(:,2))); xmax=max(max(w1(:,2)),max(w2(:,2))); x=xmin-1:xmax+1;%(xmax-xmin): y=-a(2)*x/a(3)-a(1)/a(3); plot(x,y)
上传时间： 2016-11-07
上传用户：a1241314660
/*import java.util.Scanner; //主类 public class student122 { //主方法 public static void main(String[] args){ //定义7个元素的字符数组 String[] st = new String[7]; inputSt(st); //调用输入方法 calculateSt(st); //调用计算方法 outputSt(st); //调用输出方法 } //其他方法 //输入方法 private static void inputSt(String st[]){ System.out.println("输入学生的信息："); System.out.println("学号 姓名 成绩1，2，3"); //创建键盘输入类 Scanner ss = new Scanner(System.in); for(int i=0; i<5; i++){ st[i] = ss.next(); //键盘输入1个字符串 } } //计算方法 private static void calculateSt(String[] st){ int sum = 0; //总分赋初值 int ave = 0; //平均分赋初值 for(int i=2;i<5;i++) { /计总分，字符变换成整数后进行计算 sum += Integer.parseInt(st[i]); } ave = sum/3; //计算平均分 //整数变换成字符后保存到数组里 st[5] = String.valueOf(sum); st[6] = String.valueOf(ave); } //输出方法 private static void outputSt(String[] st){ System.out.print("学号 姓名 "); //不换行 System.out.print("成绩1 成绩2 成绩3 "); System.out.println("总分 平均分");//换行 //输出学生信息 for(int i=0; i<7; i++){ //按格式输出，小于6个字符，补充空格 System.out.printf("%6s", st[i]); } System.out.println(); //输出换行 } }*/ import java.util.Scanner; public class student122 { public static void main(String[] args) { // TODO 自动生成的方法存根 String[][] st = new String[3][8]; inputSt(st); calculateSt(st); outputSt(st); } //输入方法 private static void inputSt(String st[][]) { System.out.println("输入学生信息："); System.out.println("班级 学号 姓名 成绩：数学 物理 化学"); //创建键盘输入类 Scanner ss = new Scanner(System.in); for(int j = 0; j < 3; j++) { for(int i = 0; i < 6; i++) { st[j][i] = ss.next(); } } } //输出方法 private static void outputSt(String st[][]) { System.out.println("序号 班级 学号 姓名 成绩：数学 物理 化学 总分 平均分"); //输出学生信息 for(int j = 0; j < 3; j++) { System.out.print(j+1 + ":"); for(int i = 0; i < 8; i++) { System.out.printf("%6s", st[j][i]); } System.out.println(); } } //计算方法 private static void calculateSt(String[][] st) { int sum1 = 0; int sum2 = 0; int sum3 = 0; int ave1 = 0; int ave2 = 0; int ave3 = 0; for(int i = 3; i < 6; i++) { sum1 += Integer.parseInt(st[0][i]); } ave1 = sum1/3; for(int i = 3; i < 6; i++) { sum2 += Integer.parseInt(st[1][i]); } ave2 = sum2/3; for(int i = 3; i < 6; i++) { sum3 += Integer.parseInt(st[2][i]); } ave3 = sum3/3; st[0][6] = String.valueOf(sum1); st[1][6] = String.valueOf(sum2); st[2][6] = String.valueOf(sum3); st[0][7] = String.valueOf(ave1); st[1][7] = String.valueOf(ave2); st[2][7] = String.valueOf(ave3); } }
上传时间： 2017-03-17
上传用户：simple
1．Describe a Θ(n lg n)-time algorithm that, given a set S of n integers and another integer x, determines whether or not there exist two elements in S whose sum is exactly x. (Implement exercise 2.3-7.)
上传时间： 2017-04-01
上传用户：糖儿水嘻嘻
1．Describe a Θ(n lg n)-time algorithm that, given a set S of n integers and another integer x, determines whether or not there exist two elements in S whose sum is exactly x. (Implement exercise 2.3-7.) #include<stdio.h> #include<stdlib.h> void merge(int arr[],int low,int mid,int high){ int i,k; int *tmp=(int*)malloc((high-low+1)*sizeof(int)); int left_low=low; int left_high=mid; int right_low=mid+1; int right_high=high; for(k=0;left_low<=left_high&&right_low<=right_high;k++) { if(arr[left_low]<=arr[right_low]){ tmp[k]=arr[left_low++]; } else{ tmp[k]=arr[right_low++]; } } if(left_low<=left_high){ for(i=left_low;i<=left_high;i++){ tmp[k++]=arr[i]; } } if(right_low<=right_high){ for(i=right_low;i<=right_high;i++) tmp[k++]=arr[i]; } for(i=0;i<high-low+1;i++) arr[low+i]=tmp[i]; } void merge_sort(int a[],int p,int r){ int q; if(p<r){ q=(p+r)/2; merge_sort(a,p,q); merge_sort(a,q+1,r); merge(a,p,q,r); } } int main(){ int a[8]={3,5,8,6,4,1,1}; int i,j; int x=10; merge_sort(a,0,6); printf("after Merging-Sort:\n"); for(i=0;i<7;i++){ printf("%d",a[i]); } printf("\n"); i=0;j=6; do{ if(a[i]+a[j]==x){ printf("exist"); break; } if(a[i]+a[j]>x) j--; if(a[i]+a[j]<x) i++; }while(i<=j); if(i>j) printf("not exist"); system("pause"); return 0; }
上传时间： 2017-04-01
上传用户：糖儿水嘻嘻
function [alpha,N,U]=youxianchafen2(r1,r2,up,under,num,deta) %[alpha,N,U]=youxianchafen2(a,r1,r2,up,under,num,deta) %该函数用有限差分法求解有两种介质的正方形区域的二维拉普拉斯方程的数值解 %函数返回迭代因子、迭代次数以及迭代完成后所求区域内网格节点处的值 %a为正方形求解区域的边长 %r1,r2分别表示两种介质的电导率 %up,under分别为上下边界值 %num表示将区域每边的网格剖分个数 %deta为迭代过程中所允许的相对误差限 n=num+1; %每边节点数 U(n,n)=0; %节点处数值矩阵 N=0; %迭代次数初值 alpha=2/(1+sin(pi/num));%超松弛迭代因子 k=r1/r2; %两介质电导率之比 U(1,1:n)=up; %求解区域上边界第一类边界条件 U(n,1:n)=under; %求解区域下边界第一类边界条件 U(2:num,1)=0;U(2:num,n)=0; for i=2:num U(i,2:num)=up-(up-under)/num*(i-1);%采用线性赋值对上下边界之间的节点赋迭代初值 end G=1; while G>0 %迭代条件：不满足相对误差限要求的节点数目G不为零 Un=U; %完成第n次迭代后所有节点处的值 G=0; %每完成一次迭代将不满足相对误差限要求的节点数目归零 for j=1:n for i=2:num U1=U(i,j); %第n次迭代时网格节点处的值 if j==1 %第n+1次迭代左边界第二类边界条件 U(i,j)=1/4*(2*U(i,j+1)+U(i-1,j)+U(i+1,j)); end if (j>1)&&(j U2=1/4*(U(i,j+1)+ U(i-1,j)+ U(i,j-1)+ U(i+1,j)); U(i,j)=U1+alpha*(U2-U1); %引入超松弛迭代因子后的网格节点处的值 end if i==n+1-j %第n+1次迭代两介质分界面（与网格对角线重合）第二类边界条件 U(i,j)=1/4*(2/(1+k)*(U(i,j+1)+U(i+1,j))+2*k/(1+k)*(U(i-1,j)+U(i,j-1))); end if j==n %第n+1次迭代右边界第二类边界条件 U(i,n)=1/4*(2*U(i,j-1)+U(i-1,j)+U(i+1,j)); end end end N=N+1 %显示迭代次数 Un1=U; %完成第n+1次迭代后所有节点处的值 err=abs((Un1-Un)./Un1);%第n+1次迭代与第n次迭代所有节点值的相对误差 err(1,1:n)=0; %上边界节点相对误差置零 err(n,1:n)=0; %下边界节点相对误差置零 G=sum(sum(err>deta))%显示每次迭代后不满足相对误差限要求的节点数目G end
标签： 有限差分
上传时间： 2018-07-13
上传用户：Kemin
# include<stdio.h> # include<math.h> # define N 3 main(){ float NF2(float *x,float *y); float A[N][N]={{10,-1,-2},{-1,10,-2},{-1,-1,5}}; float b[N]={7.2,8.3,4.2},sum=0; float x[N]= {0,0,0},y[N]={0},x0[N]={}; int i,j,n=0; for(i=0;i<N;i++) { x[i]=x0[i]; } for(n=0;;n++){ //计算下一个值 for(i=0;i<N;i++){ sum=0; for(j=0;j<N;j++){ if(j!=i){ sum=sum+A[i][j]*x[j]; } } y[i]=(1/A[i][i])*(b[i]-sum); //sum=0; } //判断误差大小 if(NF2(x,y)>0.01){ for(i=0;i<N;i++){ x[i]=y[i]; } } else break; } printf("经过%d次雅可比迭代解出方程组的解：\n",n+1); for(i=0;i<N;i++){ printf("%f ",y[i]); } } //求两个向量差的二范数函数 float NF2(float *x,float *y){ int i; float z,sum1=0; for(i=0;i<N;i++){ sum1=sum1+pow(y[i]-x[i],2); } z=sqrt(sum1); return z; }
上传时间： 2019-10-13
上传用户：大萌萌撒
