矩阵乘法和归一化在C程序中的实现

matrixMultiply(P, Q):Assume dimension of P is (a x b), dimension of Q is (z x y)Begin   if b is not same as z, then exit   otherwise define R matrix as (a x y)   for i in range 0 to a - 1, do      for j in range 0 to y – 1, do         for k in range 0 to z, do            R[i, j] = R[i, j] + (P[i, k] * Q[k, j])         done      done   doneEnd

Suppose we have a 2x3 matrix:4 5 61 2 3 The normalized matrix would be:4/sqrt(pow(5,2) + pow(6,2)) 5/sqrt(pow(5,2) + pow(6,2)) 6/sqrt(pow(5,2) + pow(6,2))1/sqrt(pow(2,2) + pow(3,2)) 2/sqrt(pow(2,2) + pow(3,2)) 3/sqrt(pow(2,2) + pow(3,2))

#include #include $int\; main()\; \{\; int\; row,\; col,\; row1,\; col1;\; int\; assignMatrix[50][50],\; rowAdd[100]\; =\; \{0\};\; long\; long\; int\; a,\; square[50]\; =\; \{0\};\; double\; norm[50][50],\; k;\; printf("Enter\; size\; of\; a\; matrix$
");   scanf("%d %d", &row, &col);   printf("Enter matrix of size %dX%d
", row, col);   for ( row1 = 0; row1 < row; row1++) {      for (col1 = 0; col1 < col; col1++) {         scanf("%d", &assignMatrix[row1][col1]);      }   }   printf("
rows: %d cols: %d elements:
                    
                                                                                                    
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MATLAB（矩阵实验室）是MATrix LABoratory的缩写，是一款由美国The MathWorks公司出品的商业数学软件。MATLAB是一种用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境。除了矩阵运算、绘制函数/数据图像等常用功能外，MATLAB还可以用来创建用户界面及与调用其它语言（包括C，C++和FORTRAN）编写的程序。MATLAB基础知识；命令窗口是用户与MATLAB进行交互作业的主要场所，用户输入的MATLAB交互命令均在命令窗口执行。 感兴趣的朋友可以
                            
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",row,col);   for( row1 = 0; row1 < row; row1++) {      for( col1 = 0; col1 < col; col1++) {         printf("%d ", assignMatrix[row1][col1]);      }      printf("
");   }   for (row1 = 0; row1 < row; row1++) {      for (col1 = 1; col1 < col; col1++) {         a = assignMatrix[r][c];         square[row1] += a * a;      }      printf("Sum of squares of row %d: %lld
",row1,square[row1]);   }   for ( row1 = 0; row1 < row; row1++ ) {      k = 1.0 / sqrt(square[row1]);      for( col1 = 0; col1 < col; col1++ ) {         norm[row1][col1] = k * assignMatrix[row1][col1] ;      }   }   printf("
Normalized Matrix:
");   for( row1 = 0; row1 < row; row1++) {      for( col1 = 0; col1 < col; col1++) {         printf("%.3lf ", norm[row1][col1]);      }      printf("
");   }   return 0;}

Enter size of a matrix23Enter matrix of size 2X34 5 61 2 3rows: 2 cols: 3 elements:4 5 61 2 3Sum of squares of row 0: 61Sum of squares of row 1: 13Normalized Matrix:0.512 0.640 0.7680.277 0.555 0.832Process returned 0 (0x0) execution time : 12.446 sPress any key to continue.