标签:pix dos dtc h3c author auth vtk hot fga
最近专业课比较多,没怎么看数据结构了。今天有点时间写了一下数据结构中稀疏矩阵的运算。写过之后感觉代码的构思不太好。这里先发一下,
假期的时候再重新实现一下。
SpMatrix头文件
1 //The sparse matrix‘s header file 2 //the class SpMatrix 3 //Author: ‘Karllen‘ 4 //Date:05/28/2014 5 6 #ifndef _SpMatrix_H_ 7 #define _SPMatrix_H_ 8 #include <iostream> 9 template<class T> 10 class Triple 11 { 12 public: 13 T ele; // The Triple element 14 int i,j; // The element location in the matrix 15 }; 16 17 template<class T> 18 class SpMatrix 19 { 20 public: 21 SpMatrix(void); 22 SpMatrix(T **inptr,int mrow,int mcolumn); //get the matrix from inptr 23 ~SpMatrix(void); 24 void transposeSpMatrix(SpMatrix& osp); //transpose matrix 25 void addSpMatrix(const SpMatrix& lhs,const SpMatrix& rhs); //add two sparse matrix 26 void subSpMatrix(const SpMatrix& lhs,const SpMatrix& rhs); //sub two sparse matrix 27 void mulSpMatrix(const SpMatrix& lhs,const SpMatrix& rhs); //multiplication two sparse matrix 28 void divSpMatrix(const SpMatrix& lhs,const SpMatrix& rhs); //divide two sparse matrix 29 void sptoprintMatxi()const; //print the sparse matrix as matrix 30 void printMatrix()const; //print the sparse matrix 31 private: 32 Triple<T> *tri; //the pointer to sparse matrix 33 int row,column; //the sparse matrix‘s row and column 34 int count; //the total numbers of triple 35 }; 36 37 template<class T> 38 SpMatrix<T>::SpMatrix(void):row(0),column(0),count(0),tri(NULL) 39 { 40 41 } 42 43 template<class T> 44 SpMatrix<T>::SpMatrix(T **inptr,int mrow,int mcolumn) 45 { 46 count = 0; 47 row = mrow; 48 column = mcolumn; 49 tri = new Triple<T>[mrow*mcolumn]; 50 for (int i = 0;i<row;++i) 51 { 52 for (int j = 0;j<column;++j) 53 { 54 if (0 !=inptr[i][j]) 55 { 56 tri[count].i = i; 57 tri[count].j = j; 58 tri[count].ele = inptr[i][j]; 59 ++count; 60 } 61 } 62 } 63 } 64 65 template<class T> 66 SpMatrix<T>::~SpMatrix(void) 67 { 68 if (tri!=NULL) 69 { 70 delete []tri; 71 } 72 } 73 74 template<class T> 75 void SpMatrix<T>::transposeSpMatrix(SpMatrix& osp) 76 { 77 if (0!=osp.count) 78 { 79 tri = new Triple<T>[osp.count]; 80 row = osp.column; 81 column = osp.row; 82 int k = 0; 83 for (int i = 0;i<osp.column;++i) 84 { 85 for (int j = 0;j<osp.count;++j) 86 { 87 if (i == osp.tri[j].j) 88 { 89 tri[k].i = osp.tri[j].j; 90 tri[k].j = osp.tri[j].i; 91 tri[k].ele = osp.tri[j].ele; 92 ++k; 93 ++count; 94 } 95 } 96 } 97 } 98 else 99 { 100 std::cout<<"三元组个数为0,不能转置"<<std::endl; 101 } 102 } 103 104 template<class T> 105 void SpMatrix<T>::addSpMatrix(const SpMatrix& lhs,const SpMatrix& rhs) 106 { 107 if (lhs.row==lhs.column&&rhs.row==rhs.column&&lhs.row==rhs.row) 108 { 109 row = lhs.row; 110 column = lhs.column; 111 tri = new Triple<T>[lhs.count+rhs.count]; 112 int li=0,lj=0,i=0; 113 while(li<lhs.count&&lj<rhs.count) 114 { 115 if (lhs.tri[li].i==rhs.tri[lj].i) 116 { 117 if (lhs.tri[li].j==rhs.tri[lj].j) 118 { 119 if (lhs.tri[li].ele+rhs.tri[lj].ele!=0) 120 { 121 tri[i].i = lhs.tri[li].i; 122 tri[i].j = lhs.tri[li].j; 123 tri[i].ele = lhs.tri[li].ele+rhs.tri[lj].ele; 124 ++i; 125 ++count; 126 } 127 ++li; 128 ++lj; 129 } 130 else 131 { 132 if (lhs.tri[li].j<rhs.tri[lj].j) 133 { 134 tri[i].ele = lhs.tri[li].ele; 135 tri[i].i = lhs.tri[li].i; 136 tri[i].j = lhs.tri[li].j; 137 ++i; 138 ++count; 139 ++li; 140 } 141 else 142 { 143 tri[i].ele = rhs.tri[lj].ele; 144 tri[i].i = rhs.tri[lj].i; 145 tri[i].j = rhs.tri[lj].j; 146 ++i; 147 ++count; 148 ++lj; 149 } 150 } 151 } 152 else 153 { 154 if (lhs.tri[li].i<rhs.tri[lj].i) 155 { 156 tri[i].ele = lhs.tri[li].ele; 157 tri[i].i = lhs.tri[li].i; 158 tri[i].j = lhs.tri[li].j; 159 ++i; 160 ++count; 161 ++li; 162 } 163 else 164 { 165 tri[i].ele = rhs.tri[lj].ele; 166 tri[i].i = rhs.tri[lj].i; 167 tri[i].j = rhs.tri[lj].j; 168 ++i; 169 ++count; 170 ++lj; 171 } 172 } 173 174 } 175 if (li==lhs.count) 176 { 177 while (lj<rhs.count) 178 { 179 tri[i].ele = rhs.tri[lj].ele; 180 tri[i].i = rhs.tri[lj].i; 181 tri[i].j = rhs.tri[lj].j; 182 ++i; 183 ++count; 184 ++lj; 185 } 186 } 187 if(lj==rhs.count&&lhs.count!=li) 188 { 189 while (li<lhs.count) 190 { 191 tri[i].ele = lhs.tri[li].ele; 192 tri[i].i = lhs.tri[li].i; 193 tri[i].j = lhs.tri[li].j; 194 ++i; 195 ++count; 196 ++li; 197 } 198 } 199 } 200 else 201 { 202 std::cout<<"Two matrix is different type and aren‘t to add!"<<std::endl; 203 } 204 } 205 206 template<class T> 207 void SpMatrix<T>::subSpMatrix(const SpMatrix& lhs,const SpMatrix& rhs) 208 { 209 if (lhs.row==lhs.column&&rhs.row==rhs.column&&lhs.row==rhs.row) 210 { 211 row = lhs.row; 212 column = lhs.column; 213 tri = new Triple<T>[lhs.count+rhs.count]; 214 int li=0,lj=0,i=0; 215 while(li<lhs.count&&lj<rhs.count) 216 { 217 if (lhs.tri[li].i==rhs.tri[lj].i) 218 { 219 if (lhs.tri[li].j==rhs.tri[lj].j) 220 { 221 if (lhs.tri[li].ele-rhs.tri[lj].ele!=0) 222 { 223 tri[i].i = lhs.tri[li].i; 224 tri[i].j = lhs.tri[li].j; 225 tri[i].ele = lhs.tri[li].ele-rhs.tri[lj].ele; 226 ++i; 227 ++count; 228 } 229 ++li; 230 ++lj; 231 } 232 else 233 { 234 if (lhs.tri[li].j<rhs.tri[lj].j) 235 { 236 tri[i].ele = lhs.tri[li].ele; 237 tri[i].i = lhs.tri[li].i; 238 tri[i].j = lhs.tri[li].j; 239 ++i; 240 ++count; 241 ++li; 242 } 243 else 244 { 245 tri[i].ele = -rhs.tri[lj].ele; 246 tri[i].i = rhs.tri[lj].i; 247 tri[i].j = rhs.tri[lj].j; 248 ++i; 249 ++count; 250 ++lj; 251 } 252 } 253 } 254 else 255 { 256 if (lhs.tri[li].i<rhs.tri[lj].i) 257 { 258 tri[i].ele = lhs.tri[li].ele; 259 tri[i].i = lhs.tri[li].i; 260 tri[i].j = lhs.tri[li].j; 261 ++i; 262 ++count; 263 ++li; 264 } 265 else 266 { 267 tri[i].ele = -rhs.tri[lj].ele; 268 tri[i].i = rhs.tri[lj].i; 269 tri[i].j = rhs.tri[lj].j; 270 ++i; 271 ++count; 272 ++lj; 273 } 274 } 275 276 } 277 if (li==lhs.count) 278 { 279 while (lj<rhs.count) 280 { 281 tri[i].ele = -rhs.tri[lj].ele; 282 tri[i].i = rhs.tri[lj].i; 283 tri[i].j = rhs.tri[lj].j; 284 ++i; 285 ++count; 286 ++lj; 287 } 288 } 289 if(lj==rhs.count&&lhs.count!=li) 290 { 291 while (li<lhs.count) 292 { 293 tri[i].ele = lhs.tri[li].ele; 294 tri[i].i = lhs.tri[li].i; 295 tri[i].j = lhs.tri[li].j; 296 ++i; 297 ++count; 298 ++li; 299 } 300 } 301 } 302 else 303 { 304 std::cout<<"Two matrix is different type and aren‘t to sub!"<<std::endl; 305 } 306 } 307 308 309 template<class T> 310 void SpMatrix<T>::mulSpMatrix(const SpMatrix& lhs,const SpMatrix& rhs) 311 { 312 if (lhs.column==rhs.row&&0!=lhs.count||0!=rhs.count) 313 { 314 row = lhs.row; 315 column = rhs.column; 316 int _alN = row*column; 317 tri = new Triple<T>[_alN]; 318 319 int *rhsRowSize = new int[rhs.row]; //save the rhs the element that‘s not zero int the row 320 int *rhsRowStart = new int[rhs.row]; //save the first element‘s location int the sparse matrix 321 int *rhsSzele = new int[rhs.column]; 322 for (int i=0;i<rhs.row;++i) 323 { 324 rhsRowSize[i] = 0; 325 } 326 for (int i=0; i<rhs.count;++i) //calculate the numbers of every row in the rhs 327 { 328 ++rhsRowSize[rhs.tri[i].i]; 329 } 330 331 rhsRowStart[0] = 0; //calculate the location of first row in the rhs 332 for (int i=1;i<rhs.row;++i) 333 { 334 rhsRowStart[i] = rhsRowStart[i-1]+rhsRowSize[i-1]; 335 } 336 337 int k = 0; 338 for (int i = 0;i<lhs.row;++i) //calculate the every row of lhs 339 { 340 for (int j = 0;j<rhs.column;j++) //make the all 0 341 { 342 rhsSzele[j] = 0; 343 } 344 while (k<lhs.count && i==lhs.tri[k].i) 345 { 346 int cRlF = lhs.tri[k].j; 347 for (int i = rhsRowStart[cRlF]; cRlF == rhs.tri[i].i ; ++i) 348 { 349 rhsSzele[rhs.tri[i].j]+=lhs.tri[k].ele * rhs.tri[i].ele; 350 } 351 ++k; 352 } 353 354 for (int j = 0 ; j<rhs.column;++j) //deal the result every i row value 355 { 356 if (0!=rhsSzele[j]) 357 { 358 tri[count].i = i; 359 tri[count].j = j; 360 tri[count].ele = rhsSzele[j]; 361 ++count; 362 } 363 } 364 } 365 delete [] rhsRowSize; 366 delete [] rhsRowStart; 367 delete [] rhsSzele; 368 } 369 else 370 { 371 std::cout<<"两矩阵不满足相成的条件"<<std::endl; 372 } 373 } 374 375 template<class T> 376 void SpMatrix<T>::sptoprintMatxi()const 377 { 378 if (0!=count) 379 { 380 int k = 0,i = 0; 381 int rcm = row*column; 382 while(i<rcm) 383 { 384 385 if (i == tri[k].i*column+tri[k].j) 386 { 387 std::cout<<tri[k].ele<<" "; 388 ++k; 389 } 390 else 391 { 392 std::cout<<0<<" "; 393 } 394 if (0 == (i+1)%column ) 395 { 396 std::cout<<::std::endl; 397 } 398 ++i; 399 } 400 std::cout<<std::endl; 401 } 402 std::cout<<std::endl; 403 } 404 405 template<class T> 406 void SpMatrix<T>::printMatrix()const 407 { 408 for (int i = 0;i<count;++i) 409 { 410 std::cout<<tri[i].i<<" "<<tri[i].j<<" "<<tri[i].ele<<std::endl; 411 } 412 std::cout<<"三元组的个数为:"<<count<<std::endl; 413 std::cout<<std::endl; 414 } 415 416 417 #endif //_SpMatrix_H_
menu.h测试头文件代码
1 #ifndef _KARMENU_H_ 2 #define _KARMENU_H_ 3 #include "SpMatrix.h" 4 #include<stdlib.h> 5 void transMatrix() 6 { 7 int **mptr1 = NULL; 8 int row1,column1; 9 std::cout<<"Enter the matrix‘s row "; 10 std::cin>>row1; 11 std::cout<<"Enter the matrix‘s column "; 12 std::cin>>column1; 13 14 mptr1 = new int *[row1]; 15 for (int i=0;i<row1;++i) 16 { 17 mptr1[i]= new int[column1]; 18 for (int j=0;j<column1;++j) 19 { 20 std::cin>>mptr1[i][j]; 21 } 22 } 23 SpMatrix<int> spmat1(mptr1,row1,column1); 24 SpMatrix<int> spmat2; 25 spmat2.transposeSpMatrix(spmat1); 26 std::cout<<std::endl; 27 std::cout<<"转置矩阵为:"<<std::endl; 28 spmat2.sptoprintMatxi(); 29 std::cout<<"转置矩阵的三元组表示为:"<<std::endl; 30 spmat2.printMatrix(); 31 } 32 void addMatrixM() 33 { 34 int **mptr1 = NULL; 35 int row1,column1; 36 std::cout<<"Enter the matrix‘s row "; 37 std::cin>>row1; 38 std::cout<<"Enter the matrix‘s column "; 39 std::cin>>column1; 40 41 mptr1 = new int *[row1]; 42 for (int i=0;i<row1;++i) 43 { 44 mptr1[i]= new int[column1]; 45 for (int j=0;j<column1;++j) 46 { 47 std::cin>>mptr1[i][j]; 48 } 49 } 50 int **mptr2 = NULL; 51 int row2,column2; 52 std::cout<<"Enter the matrix‘s row "; 53 std::cin>>row2; 54 std::cout<<"Enter the matrix‘s column "; 55 std::cin>>column2; 56 57 mptr2 = new int *[row2]; 58 for (int i=0;i<row2;++i) 59 { 60 mptr2[i]= new int[column2]; 61 for (int j=0;j<column2;++j) 62 { 63 std::cin>>mptr2[i][j]; 64 } 65 } 66 if (row1==column1&&row2==column2&&row1==row2) 67 { 68 SpMatrix<int> spmat1(mptr1,row1,column1); 69 SpMatrix<int> spmat2(mptr2,row2,column2); 70 SpMatrix<int> spmat3; 71 spmat3.addSpMatrix(spmat1,spmat2); 72 std::cout<<std::endl; 73 std::cout<<"被加矩阵的三元组表示:"<<std::endl; 74 spmat1.printMatrix(); 75 std::cout<<"加数矩阵的三元组表示:"<<std::endl; 76 spmat2.printMatrix(); 77 78 std::cout<<"所求和矩阵的普通表示:"<<std::endl; 79 spmat3.sptoprintMatxi(); 80 std::cout<<"所求和矩阵的三元组表示:"<<std::endl; 81 spmat3.printMatrix(); 82 } 83 else 84 { 85 std::cout<<"输入矩阵的阶数不符合要求,请输入等阶矩阵操作"<<std::endl; 86 } 87 88 for (int i = 0;i<row1;++i) 89 { 90 delete [] mptr1[i]; 91 } 92 delete []mptr1; 93 94 for (int i = 0;i<row2;++i) 95 { 96 delete [] mptr2[i]; 97 } 98 delete []mptr2; 99 mptr2 = NULL; 100 } 101 102 void subMatrixM() 103 { 104 int **mptr1 = NULL; 105 int row1,column1; 106 std::cout<<"Enter the matrix‘s row "; 107 std::cin>>row1; 108 std::cout<<"Enter the matrix‘s column "; 109 std::cin>>column1; 110 111 mptr1 = new int *[row1]; 112 for (int i=0;i<row1;++i) 113 { 114 mptr1[i]= new int[column1]; 115 for (int j=0;j<column1;++j) 116 { 117 std::cin>>mptr1[i][j]; 118 } 119 } 120 int **mptr2 = NULL; 121 int row2,column2; 122 std::cout<<"Enter the matrix‘s row "; 123 std::cin>>row2; 124 std::cout<<"Enter the matrix‘s column "; 125 std::cin>>column2; 126 127 mptr2 = new int *[row2]; 128 for (int i=0;i<row2;++i) 129 { 130 mptr2[i]= new int[column2]; 131 for (int j=0;j<column2;++j) 132 { 133 std::cin>>mptr2[i][j]; 134 } 135 } 136 if(row1==column1&&row2==column2&&row1==row2) 137 { 138 SpMatrix<int> spmat1(mptr1,row1,column1); 139 SpMatrix<int> spmat2(mptr2,row2,column2); 140 SpMatrix<int> spmat3; 141 spmat3.subSpMatrix(spmat1,spmat2); 142 std::cout<<std::endl; 143 std::cout<<"被减矩阵的三元组表示:"<<std::endl; 144 spmat1.printMatrix(); 145 std::cout<<"减数矩阵的三元组表示:"<<std::endl; 146 spmat2.printMatrix(); 147 148 std::cout<<"所求差矩阵的普通表示:"<<std::endl; 149 spmat3.sptoprintMatxi(); 150 std::cout<<"所求差矩阵的三元组表示:"<<std::endl; 151 spmat3.printMatrix(); 152 } 153 else 154 { 155 std::cout<<"您输入的矩阵不符合要求,求输入等阶矩阵"<<std::endl; 156 } 157 for (int i = 0;i<row1;++i) 158 { 159 delete [] mptr1[i]; 160 } 161 delete []mptr1; 162 163 for (int i = 0;i<row2;++i) 164 { 165 delete [] mptr2[i]; 166 } 167 delete []mptr2; 168 } 169 170 void mulMatrixM() 171 { 172 int **mptr1 = NULL; 173 int row1,column1; 174 std::cout<<"Enter the matrix‘s row "; 175 std::cin>>row1; 176 std::cout<<"Enter the matrix‘s column "; 177 std::cin>>column1; 178 179 mptr1 = new int *[row1]; 180 for (int i=0;i<row1;++i) 181 { 182 mptr1[i]= new int[column1]; 183 for (int j=0;j<column1;++j) 184 { 185 std::cin>>mptr1[i][j]; 186 } 187 } 188 int **mptr2 = NULL; 189 int row2,column2; 190 std::cout<<"Enter the matrix‘s row "; 191 std::cin>>row2; 192 std::cout<<"Enter the matrix‘s column "; 193 std::cin>>column2; 194 195 mptr2 = new int *[row2]; 196 for (int i=0;i<row2;++i) 197 { 198 mptr2[i]= new int[column2]; 199 for (int j=0;j<column2;++j) 200 { 201 std::cin>>mptr2[i][j]; 202 } 203 } 204 if(column1 == row2) 205 { 206 SpMatrix<int> spmat1(mptr1,row1,column1); 207 SpMatrix<int> spmat2(mptr2,row2,column2); 208 SpMatrix<int> spmat3; 209 spmat3.mulSpMatrix(spmat1,spmat2); 210 std::cout<<std::endl; 211 std::cout<<"被乘矩阵的三元组表示:"<<std::endl; 212 spmat1.printMatrix(); 213 std::cout<<"乘数矩阵的三元组表示:"<<std::endl; 214 spmat2.printMatrix(); 215 216 std::cout<<"所求积矩阵的普通表示:"<<std::endl; 217 spmat3.sptoprintMatxi(); 218 std::cout<<"所求积矩阵的三元组表示:"<<std::endl; 219 spmat3.printMatrix(); 220 } 221 else 222 { 223 std::cout<<"您输入的矩阵不符合要求,请输入符合符合阶数要求的矩阵"<<std::endl; 224 225 } 226 for (int i = 0;i<row1;++i) 227 { 228 delete [] mptr1[i]; 229 } 230 delete []mptr1; 231 232 for (int i = 0;i<row2;++i) 233 { 234 delete [] mptr2[i]; 235 } 236 delete []mptr2; 237 238 } 239 240 void divMatrixM() 241 { 242 243 } 244 245 int menu() 246 { 247 int zmyn; 248 int choose = 0 ; 249 char a[10]={0}; 250 do 251 { 252 std::cout<<"测试矩阵的运算"<<std::endl; 253 std::cout<<"1: 矩阵转置"<<std::endl; 254 std::cout<<"2: 矩阵求和"<<std::endl; 255 std::cout<<"3: 矩阵求差"<<std::endl; 256 std::cout<<"4: 矩阵求积"<<std::endl; 257 std::cout<<"5: 退出运算"<<std::endl; 258 std::cout<<"请输入1--5的选项!"<<std::endl; 259 std::cin>>a; 260 choose = atoi(a); 261 while (choose<1||choose>5) 262 { 263 std::cout<<"您输入的选项不和要求,请输入1--5之间的数字进行操作"<<std::endl; 264 std::cin>>a; 265 choose = atoi(a); 266 } 267 switch(choose) 268 { 269 case 1: 270 transMatrix();break; 271 case 2: 272 addMatrixM();break; 273 case 3: 274 subMatrixM();break; 275 case 4: 276 mulMatrixM();break; 277 case 5: 278 return 0; 279 default: ; 280 } 281 std::cout<<"输入1继续操作,输入0或者其他停止操作" <<std::endl; 282 std::cin>>a; 283 zmyn = atoi(a); 284 while (zmyn<0||zmyn>9) 285 { 286 std::cout<<"请正确输入"<<std::endl; 287 std::cin>>a; 288 zmyn = atoi(a); 289 } 290 system("cls"); 291 }while(1 == zmyn); 292 293 return 0; 294 } 295 #endif //end _KARMENU_H_
main函数入口:
1 #include "KarMenu.h" 2 //static const int ROW = 10; 3 //static const int COLUMN = 10; 4 int main(void) 5 { 6 return menu(); 7 }
测试:
矩阵转置:
矩阵求和:
矩阵求差:
矩阵求积:
测试均正确通过
标签:pix dos dtc h3c author auth vtk hot fga
原文地址:http://www.cnblogs.com/xieyulin/p/7056335.html