Well, yes. The if is always true, since n == 0 and MatrixSize is presumably positive. Therefore no call to Strassen is made, and the clock values aren't filled out.
This is a discussion on need some help , confused! within the C++ Programming forums, part of the General Programming Boards category; Well, yes. The if is always true, since n == 0 and MatrixSize is presumably positive. Therefore no call to ...
Well, yes. The if is always true, since n == 0 and MatrixSize is presumably positive. Therefore no call to Strassen is made, and the clock values aren't filled out.
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Bill Bryson"...a computer is a stupid machine with the ability to do incredibly smart things, while computer programmers are smart people with the ability to do incredibly stupid things. They are,in short, a perfect match.."
i tried this (look at the bottom of Strassen()) , dont know if im doing it right ( i mean whether i should place it there or not!)
Code://بسم الله الرحمن الرحیم //Strassen Algorithm Impementation in C++ //Seyyed Hossein Hasan pour //Release date May 5 2010 #include <iostream> #include <cstdlib> #include <iomanip> #include <ctime> #include <windows.h> using namespace std; int Strassen(int n, int** MatrixA, int ** MatrixB, int ** MatrixC); int ADD(int** MatrixA, int** MatrixB, int** MatrixResult, int length ); int SUB(int** MatrixA, int** MatrixB, int** MatrixResult, int length ); int MUL(int** MatrixA, int** MatrixB, int** MatrixResult, int length ); void FillMatrix( int** matrix1, int** matrix2, int length); int main() { int n = 0; int MatrixSize = 0; int** MatrixA; int** MatrixB; int** MatrixC; clock_t startTime_For_Normal_Multipilication ; clock_t endTime_For_Normal_Multipilication ; clock_t startTime_For_Strassen ; clock_t endTime_For_Strassen ; time_t start,end; srand(time(0)); cout<<"In the name of GOD"<<endl; cout<<"\nPlease Enter your Matrix Size: "; cin>>MatrixSize; int N = MatrixSize; cout<<"Please Enter your Threshhold: "; cin>>n; MatrixA = new int *[MatrixSize]; MatrixB = new int *[MatrixSize]; MatrixC = new int *[MatrixSize]; for (int i = 0; i < MatrixSize; i++) { MatrixA[i] = new int [MatrixSize]; MatrixB[i] = new int [MatrixSize]; MatrixC[i] = new int [MatrixSize]; } FillMatrix(MatrixA,MatrixB,MatrixSize); // if ( n <= MatrixSize ) // { cout<<"Phase I started: "<< (startTime_For_Normal_Multipilication = clock()); for (int i=0;i<N;i++) { for (int j=0;j<N;j++) { MatrixC[i][j]=0; for (int k=0;k<N;k++) { MatrixC[i][j]=MatrixC[i][j]+MatrixA[i][k]*MatrixB[k][j]; } } } //} cout<<"\nPhase I ended: "<< (endTime_For_Normal_Multipilication = clock()); // } //else //{ cout<<"\nPhase II started: "<< (startTime_For_Strassen = clock()); Strassen(N,MatrixA,MatrixB,MatrixC); cout<<"\nPhase II ended: "<<(endTime_For_Strassen = clock()); //} cout<<"\nStats:\n"; cout<<"Normal mode "<<(endTime_For_Normal_Multipilication - startTime_For_Normal_Multipilication)/CLOCKS_PER_SEC<<" Sec"; cout<<"\nStrassen mode "<<(endTime_For_Strassen - startTime_For_Strassen)/CLOCKS_PER_SEC<<" Sec"; system("Pause"); return 0; } int Strassen(int N, int **MatrixA, int **MatrixB, int **MatrixC) { int HalfSize = N/2; int** A11; int** A12; int** A21; int** A22; int** B11; int** B12; int** B21; int** B22; int** C11; int** C12; int** C21; int** C22; int** M1; int** M2; int** M3; int** M4; int** M5; int** M6; int** M7; int** AResult; int** BResult; A11 = new int *[N]; A12 = new int *[N]; A21 = new int *[N]; A22 = new int *[N]; B11 = new int *[N]; B12 = new int *[N]; B21 = new int *[N]; B22 = new int *[N]; C11 = new int *[N]; C12 = new int *[N]; C21 = new int *[N]; C22 = new int *[N]; M1 = new int *[N]; M2 = new int *[N]; M3 = new int *[N]; M4 = new int *[N]; M5 = new int *[N]; M6 = new int *[N]; M7 = new int *[N]; AResult = new int *[N]; BResult = new int *[N]; for ( int i = 0; i < N; i++) { A11[i] = new int[N]; A12[i] = new int[N]; A21[i] = new int[N]; A22[i] = new int[N]; B11[i] = new int[N]; B12[i] = new int[N]; B21[i] = new int[N]; B22[i] = new int[N]; C11[i] = new int[N]; C12[i] = new int[N]; C21[i] = new int[N]; C22[i] = new int[N]; M1[i] = new int[N]; M2[i] = new int[N]; M3[i] = new int[N]; M4[i] = new int[N]; M5[i] = new int[N]; M6[i] = new int[N]; M7[i] = new int[N]; AResult[i] = new int[N]; BResult[i] = new int[N]; } if ( N == 2 ) { MUL(MatrixA,MatrixB,MatrixC,N); } else { for (int i = 0; i < N / 2; i++) { for (int j = 0; j < N / 2; j++) { A11[i][j] = MatrixA[i][j]; A12[i][j] = MatrixA[i][j + N / 2]; A21[i][j] = MatrixA[i + N / 2][j]; A22[i][j] = MatrixA[i + N / 2][j + N / 2]; B11[i][j] = MatrixB[i][j]; B12[i][j] = MatrixB[i][j + N / 2]; B21[i][j] = MatrixB[i + N / 2][j]; B22[i][j] = MatrixB[i + N / 2][j + N / 2]; } } //M1[][] ADD( A11,A22,AResult, HalfSize); ADD( B11,B22,BResult, HalfSize); Strassen( HalfSize, AResult, BResult, M1 ); //Mul(AResult,BResult,M1); //M2[][] ADD( A21,A22,AResult, HalfSize); //M2=(A21+A22)B11 Strassen(HalfSize, AResult, B11, M2); //Mul(AResult,B11,M2); //M3[][] SUB( B12,B22,BResult, HalfSize); //M3=A11(B12-B22) Strassen(HalfSize, A11, BResult, M3); //Mul(A11,BResult,M3); //M4[][] SUB( B21, B11, BResult, HalfSize); //M4=A22(B21-B11) Strassen(HalfSize, A22, BResult, M4); //Mul(A22,BResult,M4); //M5[][] ADD( A11, A12, AResult, HalfSize); //M5=(A11+A12)B22 Strassen(HalfSize, AResult, B22, M5); //Mul(AResult,B22,M5); //M6[][] SUB( A21, A11, AResult, HalfSize); ADD( B11, B12, BResult, HalfSize); //M6=(A21-A11)(B11+B12) Strassen( HalfSize, AResult, BResult, M6); //Mul(AResult,BResult,M6); //M7[][] SUB(A12, A22, AResult, HalfSize); ADD(B21, B22, BResult, HalfSize); //M7=(A12-A22)(B21+B22) Strassen(HalfSize, AResult, BResult, M7); //Mul(AResult,BResult,M7); //C11 = M1 + M4 - M5 + M7; ADD( M1, M4, AResult, HalfSize); SUB( M7, M5, BResult, HalfSize); ADD( AResult, BResult, C11, HalfSize); //C12 = M3 + M5; ADD( M3, M5, C12, HalfSize); //C21 = M2 + M4; ADD( M2, M4, C21, HalfSize); //C22 = M1 + M3 - M2 + M6; ADD( M1, M3, AResult, HalfSize); SUB( M6, M2, BResult, HalfSize); ADD( AResult, BResult, C22, HalfSize); for (int i = 0; i < N / 2; i++) { for (int j = 0 ; j < N / 2; j++) { MatrixC[i][j] = C11[i][j]; MatrixC[i][j + N / 2] = C12[i][j]; MatrixC[i + N / 2][j] = C21[i][j]; MatrixC[i + N / 2][j + N / 2] = C22[i][j]; } } for (int i = 0; i < N/2; i++) { delete[] A11[i]; delete[] A12[i]; delete[] A21[i]; delete[] A22[i]; delete[] B11[i]; delete[] B12[i]; delete[] B21[i]; delete[] B22[i]; delete[] C11[i]; delete[] C12[i]; delete[] C21[i]; delete[] C22[i]; delete[] M1[i]; delete[] M2[i]; delete[] M3[i]; delete[] M4[i]; delete[] M5[i]; delete[] M6[i]; delete[] M7[i]; delete[] AResult[i]; delete[] BResult[i] ; } delete[] A11; delete[] A12; delete[] A21; delete[] A22; delete[] B11; delete[] B12; delete[] B21; delete[] B22; delete[] C11; delete[] C12; delete[] C21; delete[] C22; delete[] M1; delete[] M2; delete[] M3; delete[] M4; delete[] M5; delete[] M6; delete[] M7; delete[] AResult; delete[] BResult ; }//end of else //MatrixC; return 0; } int ADD(int** MatrixA, int** MatrixB, int** MatrixResult, int MatrixSize ) { for ( int i = 0; i < MatrixSize; i++) { for ( int j = 0; j < MatrixSize; j++) { MatrixResult[i][j] = MatrixA[i][j] + MatrixB[i][j]; } } return 0; } int SUB(int** MatrixA, int** MatrixB, int** MatrixResult, int MatrixSize ) { for ( int i = 0; i < MatrixSize; i++) { for ( int j = 0; j < MatrixSize; j++) { MatrixResult[i][j] = MatrixA[i][j] - MatrixB[i][j]; } } return 0; } int MUL( int** MatrixA, int** MatrixB, int** MatrixResult, int MatrixSize ) { for (int i=0;i<MatrixSize ;i++) { for (int j=0;j<MatrixSize ;j++) { MatrixResult[i][j]=0; for (int k=0;k<MatrixSize ;k++) { MatrixResult[i][j]=MatrixResult[i][j]+MatrixA[i][k]*MatrixB[k][j]; } } } return 0; } void FillMatrix( int** MatrixA, int** MatrixB, int length) { for(int row = 0; row<length; row++) { for(int column = 0; column<length; column++) { MatrixB[row][column] = (MatrixA[row][column] = rand() %9999999); //matrix2[row][column] = rand() % 2;//ba hazfe in khat 50% afzayeshe soorat khahim dasht } } }
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Bill Bryson"...a computer is a stupid machine with the ability to do incredibly smart things, while computer programmers are smart people with the ability to do incredibly stupid things. They are,in short, a perfect match.."
As it stands, the delete shouldn't be in the else, because they get allocated regardless of which branch in that if you take. If they get allocated regardless, they need to be deleted regardless.
Having said that, the "right" answer is almost certainly to put the memory allocation (all the new calls) inside the else is well, so that no memory is allocated if it isn't needed.
Have you considered the use of abstraction (e.g., use a matrix class) to simplify your code, including the use of RAII?
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Thank you so much for your time and your help dear tabstop .i really appreciate it
i did this too, but still no luck
Code:int Strassen(int N, int **MatrixA, int **MatrixB, int **MatrixC) { int HalfSize = N/2; if ( N == 2 ) { MUL(MatrixA,MatrixB,MatrixC,N); } else { int** A11; int** A12; int** A21; int** A22; int** B11; int** B12; int** B21; int** B22; int** C11; int** C12; int** C21; int** C22; int** M1; int** M2; int** M3; int** M4; int** M5; int** M6; int** M7; int** AResult; int** BResult; A11 = new int *[N]; A12 = new int *[N]; A21 = new int *[N]; A22 = new int *[N]; B11 = new int *[N]; B12 = new int *[N]; B21 = new int *[N]; B22 = new int *[N]; C11 = new int *[N]; C12 = new int *[N]; C21 = new int *[N]; C22 = new int *[N]; M1 = new int *[N]; M2 = new int *[N]; M3 = new int *[N]; M4 = new int *[N]; M5 = new int *[N]; M6 = new int *[N]; M7 = new int *[N]; AResult = new int *[N]; BResult = new int *[N]; for ( int i = 0; i < N; i++) { A11[i] = new int[N]; A12[i] = new int[N]; A21[i] = new int[N]; A22[i] = new int[N]; B11[i] = new int[N]; B12[i] = new int[N]; B21[i] = new int[N]; B22[i] = new int[N]; C11[i] = new int[N]; C12[i] = new int[N]; C21[i] = new int[N]; C22[i] = new int[N]; M1[i] = new int[N]; M2[i] = new int[N]; M3[i] = new int[N]; M4[i] = new int[N]; M5[i] = new int[N]; M6[i] = new int[N]; M7[i] = new int[N]; AResult[i] = new int[N]; BResult[i] = new int[N]; } for (int i = 0; i < N / 2; i++) { for (int j = 0; j < N / 2; j++) { A11[i][j] = MatrixA[i][j]; A12[i][j] = MatrixA[i][j + N / 2]; A21[i][j] = MatrixA[i + N / 2][j]; A22[i][j] = MatrixA[i + N / 2][j + N / 2]; B11[i][j] = MatrixB[i][j]; B12[i][j] = MatrixB[i][j + N / 2]; B21[i][j] = MatrixB[i + N / 2][j]; B22[i][j] = MatrixB[i + N / 2][j + N / 2]; } } //M1[][] ADD( A11,A22,AResult, HalfSize); ADD( B11,B22,BResult, HalfSize); Strassen( HalfSize, AResult, BResult, M1 ); //Mul(AResult,BResult,M1); //M2[][] ADD( A21,A22,AResult, HalfSize); //M2=(A21+A22)B11 Strassen(HalfSize, AResult, B11, M2); //Mul(AResult,B11,M2); //M3[][] SUB( B12,B22,BResult, HalfSize); //M3=A11(B12-B22) Strassen(HalfSize, A11, BResult, M3); //Mul(A11,BResult,M3); //M4[][] SUB( B21, B11, BResult, HalfSize); //M4=A22(B21-B11) Strassen(HalfSize, A22, BResult, M4); //Mul(A22,BResult,M4); //M5[][] ADD( A11, A12, AResult, HalfSize); //M5=(A11+A12)B22 Strassen(HalfSize, AResult, B22, M5); //Mul(AResult,B22,M5); //M6[][] SUB( A21, A11, AResult, HalfSize); ADD( B11, B12, BResult, HalfSize); //M6=(A21-A11)(B11+B12) Strassen( HalfSize, AResult, BResult, M6); //Mul(AResult,BResult,M6); //M7[][] SUB(A12, A22, AResult, HalfSize); ADD(B21, B22, BResult, HalfSize); //M7=(A12-A22)(B21+B22) Strassen(HalfSize, AResult, BResult, M7); //Mul(AResult,BResult,M7); //C11 = M1 + M4 - M5 + M7; ADD( M1, M4, AResult, HalfSize); SUB( M7, M5, BResult, HalfSize); ADD( AResult, BResult, C11, HalfSize); //C12 = M3 + M5; ADD( M3, M5, C12, HalfSize); //C21 = M2 + M4; ADD( M2, M4, C21, HalfSize); //C22 = M1 + M3 - M2 + M6; ADD( M1, M3, AResult, HalfSize); SUB( M6, M2, BResult, HalfSize); ADD( AResult, BResult, C22, HalfSize); for (int i = 0; i < N / 2; i++) { for (int j = 0 ; j < N / 2; j++) { MatrixC[i][j] = C11[i][j]; MatrixC[i][j + N / 2] = C12[i][j]; MatrixC[i + N / 2][j] = C21[i][j]; MatrixC[i + N / 2][j + N / 2] = C22[i][j]; } } for (int i = 0; i < N; i++) { delete[] A11[i]; delete[] A12[i]; delete[] A21[i]; delete[] A22[i]; delete[] B11[i]; delete[] B12[i]; delete[] B21[i]; delete[] B22[i]; delete[] C11[i]; delete[] C12[i]; delete[] C21[i]; delete[] C22[i]; delete[] M1[i]; delete[] M2[i]; delete[] M3[i]; delete[] M4[i]; delete[] M5[i]; delete[] M6[i]; delete[] M7[i]; delete[] AResult[i]; delete[] BResult[i] ; } delete[] A11; delete[] A12; delete[] A21; delete[] A22; delete[] B11; delete[] B12; delete[] B21; delete[] B22; delete[] C11; delete[] C12; delete[] C21; delete[] C22; delete[] M1; delete[] M2; delete[] M3; delete[] M4; delete[] M5; delete[] M6; delete[] M7; delete[] AResult; delete[] BResult ; }//end of else //MatrixC; return 0; }
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Bill Bryson"...a computer is a stupid machine with the ability to do incredibly smart things, while computer programmers are smart people with the ability to do incredibly stupid things. They are,in short, a perfect match.."
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Bill Bryson"...a computer is a stupid machine with the ability to do incredibly smart things, while computer programmers are smart people with the ability to do incredibly stupid things. They are,in short, a perfect match.."
A technique whereby the lifetime of a resource is tied to the lifetime of an object. In this case, you would create a Matrix class such that Matrix objects manage their own memory through correct implementation of constructors, copy constructor, copy assignment operator and destructor. You might take advantage of std::vector too.Originally Posted by Masterx
Consequently, when you implement the algorithm, you need not be concerned with memory management.
I am not sure what is the error that you are talking about, but the point is that abstraction helps you to reason about the problem by allowing you to better selectively ignore details that are unnecessary for the problem at hand.Originally Posted by Masterx
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Thank you thats a nice idea ,
by error i meant (allocation failure in my case here ).
and i've already thought about vectors, im not that fluent in terms of working with it so for now i put it aside, and also the fact that i want to overcome this memory allocation failure , i might be able to flee now using that matrix class, but surely i will encounter the same problem in my next projects working on dynamic memory allocations , so i want to find a way to correct this, if possible, and if it is not possible seek other ways .
again thank you very much dear laiserlight.
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Bill Bryson"...a computer is a stupid machine with the ability to do incredibly smart things, while computer programmers are smart people with the ability to do incredibly stupid things. They are,in short, a perfect match.."
RAII is a conventional way to deal with dynamic memory allocation in C++. Using your lack of familiarity with the standard containers as an excuse to avoid using them means that you will never become familiar with them. Basically, my line of thinking is that when you are able to see more clearly the lifetime of the matrices that you are dealing with, you will be better equipped to avoid creating matrices when you don't need them, and thus avoid over-allocation that perhaps led to allocation failure.Originally Posted by Masterx
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Bill Bryson"...a computer is a stupid machine with the ability to do incredibly smart things, while computer programmers are smart people with the ability to do incredibly stupid things. They are,in short, a perfect match.."
i finally understood where the problem was , and corrected it :
it was the base condition for my recrusive call .!
it must be N<= 'sth' . and a very important matter that i completely forgot was that the input was supposed to be a number of power two ( 2,4,8,16,32,...512,and etc)Code:if ( N == 2 ) { MUL(MatrixA,MatrixB,MatrixC,N); }
and that would solve everything .
one interesting thing that i found , was that at first when my threshold ( N) was set this way ( N<=2) , the Strassen Algorithm was way tooo slower than the conventional method! e.g multiplying two 512 *512 matrices , in conventional method would take 2 seconds while , using the Strassen it would take more than 300 seconds.
after testing more and more, i found out thats all because of the threshold , and thus changed it to 64(N<=64) and it flated out the conventional method .
multiplying two 1024*1024 matrices using conventional method would take 14+seconds while using Strassen it would only take 3 seconds to complete the multiplication .
anyway. here is the final code .
and oh before reading that . i want any of you to do me a favor , i explained how we make multidimentional arrays in C++, please read that part , and tell me my mistakes .
That will be a great help for me in understanding the concepts .
Thank you all in advance
Code://بسم الله الرحمن الرحیم /* Strassen Algorithm Implementation in C++ Coded By: Seyyed Hossein Hasan Pour MatiKolaee in May 5 2010 . Mazandaran University of Science and Technology,Babol,Mazandaran,Iran -------------------------------------------- Email : Master.huricane@gmail.com YM : Deathmaster_nemessis@yahoo.com Updated may 09 2010. */ #include <iostream> #include <cstdlib> #include <iomanip> #include <ctime> #include <windows.h> using namespace std; int Strassen(int n, int** MatrixA, int ** MatrixB, int ** MatrixC);//Multiplies Two Matrices recrusively. int ADD(int** MatrixA, int** MatrixB, int** MatrixResult, int length );//Adds two Matrices, and places the result in another Matrix int SUB(int** MatrixA, int** MatrixB, int** MatrixResult, int length );//subtracts two Matrices , and places the result in another Matrix int MUL(int** MatrixA, int** MatrixB, int** MatrixResult, int length );//Multiplies two matrices in conventional way. void FillMatrix( int** matrix1, int** matrix2, int length);//Fills Matrices with random numbers. void PrintMatrix( int **MatrixA, int MatrixSize );//prints the Matrix content. int main() { int MatrixSize = 0; int** MatrixA; int** MatrixB; int** MatrixC; clock_t startTime_For_Normal_Multipilication ; clock_t endTime_For_Normal_Multipilication ; clock_t startTime_For_Strassen ; clock_t endTime_For_Strassen ; time_t start,end; srand(time(0)); cout<<setw(45)<<"In the name of GOD"; cout<<endl<<setw(60)<<"Strassen Algorithm Implementation in C++ " <<endl<<endl<<setw(50)<<"By Seyyed Hossein Hasan Pour" <<endl<<setw(60)<<"Mazandaran University of Science and Technology" <<endl<<setw(40)<<"May 9 2010"; cout<<"\nPlease Enter your Matrix Size(must be in a power of two(eg:32,64,512,..): "; cin>>MatrixSize; int N = MatrixSize;//for readiblity. MatrixA = new int *[MatrixSize]; MatrixB = new int *[MatrixSize]; MatrixC = new int *[MatrixSize]; for (int i = 0; i < MatrixSize; i++) { MatrixA[i] = new int [MatrixSize]; MatrixB[i] = new int [MatrixSize]; MatrixC[i] = new int [MatrixSize]; } FillMatrix(MatrixA,MatrixB,MatrixSize); //*******************conventional multiplication test cout<<"Phase I started: "<< (startTime_For_Normal_Multipilication = clock()); MUL(MatrixA,MatrixB,MatrixC,MatrixSize); cout<<"\nPhase I ended: "<< (endTime_For_Normal_Multipilication = clock()); cout<<"\nMatrix Result... \n"; PrintMatrix(MatrixC,MatrixSize); //*******************Strassen multiplication test cout<<"\nMultiplication started: "<< (startTime_For_Strassen = clock()); Strassen( N, MatrixA, MatrixB, MatrixC ); cout<<"\nMultiplication: "<<(endTime_For_Strassen = clock()); cout<<"\nMatrix Result... \n"; PrintMatrix(MatrixC,MatrixSize); cout<<"Matrix size "<<MatrixSize; cout<<"\nNormal mode "<<(endTime_For_Normal_Multipilication - startTime_For_Normal_Multipilication)<<" Clocks.."<<(endTime_For_Normal_Multipilication - startTime_For_Normal_Multipilication)/CLOCKS_PER_SEC<<" Sec"; cout<<"\nStrassen mode "<<(endTime_For_Strassen - startTime_For_Strassen)<<" Clocks.."<<(endTime_For_Strassen - startTime_For_Strassen)/CLOCKS_PER_SEC<<" Sec\n"; system("Pause"); return 0; } /* in order to be able to create a matrix without any limitaion in c++, one way is to create it using pointers. as you see by using a pointer to pointer strategy we can make a multi- dimensional Matrix of any size . The notation also makes us capable of creating a matrix with VARIABLE size at runtime ,meaning we can resize the size of our matrix at runtime , shrink it or increase it , your choice. what we do is simple , first we make a pointer of pointer variable , this means that our first pointer will point to another pointer which again this pointer ,points to sth else(we can make it point to an array) . int **A; will declare the variable , we now need to expand it . now make a pointer based array and allocate the memory dynamicly A = new int *[desired_array_row]; this gives us a one diminsional pointer based array,now you want a 2D array? big deal,lets make one. we use for() to achieve this goal , remember when i said we are going to make a variable which is a pointer of pointer ? which meant any location pointed to somewhere else , we made a pointer based array , a one diminsional one , just up there , and you know this fatct that an array is consits of individual blocks right? and the fact that each block can be used just like a solo variable. so simply if we could write A = new int *[any_size]; cant we do it to all of our indiviual array blocks which are just like the solo variable ? so this means that if we could do it with A, and get an array , we can use the same method to make different arrays for different block of the array we made in first place. we use for() to iterate through all of the blocks of the previously made array, and then for each block we create a single array . for ( int i = 0; i < desired_array_row; i++) A[i] = new int [desired_column_size]; after this for , we can enjoy our 2D array wich can be access like any ordinary array we know. just use the conventional notation for accessing array blocks for either reading or writing.( A[i][j]) and remember to free the space we allocated for our 2D array at the end of the program . we do such a thing this way: for ( int i = 0; i < your_array_row; i++) { delete [] A[i]; } delete[] A; .using this method you can make any N-diminsional array, you just need to use for with right iteration. */ int Strassen(int N, int **MatrixA, int **MatrixB, int **MatrixC) { int HalfSize = N/2; int newSize = N/2; if ( N <= 64 )//choosing the threshhold is extremely important, try N<=2 to see the result { MUL(MatrixA,MatrixB,MatrixC,N); } else { int** A11; int** A12; int** A21; int** A22; int** B11; int** B12; int** B21; int** B22; int** C11; int** C12; int** C21; int** C22; int** M1; int** M2; int** M3; int** M4; int** M5; int** M6; int** M7; int** AResult; int** BResult; //making a 1 diminsional pointer based array. A11 = new int *[newSize]; A12 = new int *[newSize]; A21 = new int *[newSize]; A22 = new int *[newSize]; B11 = new int *[newSize]; B12 = new int *[newSize]; B21 = new int *[newSize]; B22 = new int *[newSize]; C11 = new int *[newSize]; C12 = new int *[newSize]; C21 = new int *[newSize]; C22 = new int *[newSize]; M1 = new int *[newSize]; M2 = new int *[newSize]; M3 = new int *[newSize]; M4 = new int *[newSize]; M5 = new int *[newSize]; M6 = new int *[newSize]; M7 = new int *[newSize]; AResult = new int *[newSize]; BResult = new int *[newSize]; int newLength = newSize; //making that 1 diminsional pointer based array , a 2D pointer based array for ( int i = 0; i < newSize; i++) { A11[i] = new int[newLength]; A12[i] = new int[newLength]; A21[i] = new int[newLength]; A22[i] = new int[newLength]; B11[i] = new int[newLength]; B12[i] = new int[newLength]; B21[i] = new int[newLength]; B22[i] = new int[newLength]; C11[i] = new int[newLength]; C12[i] = new int[newLength]; C21[i] = new int[newLength]; C22[i] = new int[newLength]; M1[i] = new int[newLength]; M2[i] = new int[newLength]; M3[i] = new int[newLength]; M4[i] = new int[newLength]; M5[i] = new int[newLength]; M6[i] = new int[newLength]; M7[i] = new int[newLength]; AResult[i] = new int[newLength]; BResult[i] = new int[newLength]; } //splitting input Matrixes, into 4 submatrices each. for (int i = 0; i < N / 2; i++) { for (int j = 0; j < N / 2; j++) { A11[i][j] = MatrixA[i][j]; A12[i][j] = MatrixA[i][j + N / 2]; A21[i][j] = MatrixA[i + N / 2][j]; A22[i][j] = MatrixA[i + N / 2][j + N / 2]; B11[i][j] = MatrixB[i][j]; B12[i][j] = MatrixB[i][j + N / 2]; B21[i][j] = MatrixB[i + N / 2][j]; B22[i][j] = MatrixB[i + N / 2][j + N / 2]; } } //here we calculate M1..M7 matrices . //M1[][] ADD( A11,A22,AResult, HalfSize); ADD( B11,B22,BResult, HalfSize); Strassen( HalfSize, AResult, BResult, M1 ); //now that we need to multiply this , we use the strassen itself . //M2[][] ADD( A21,A22,AResult, HalfSize); //M2=(A21+A22)B11 Strassen(HalfSize, AResult, B11, M2); //Mul(AResult,B11,M2); //M3[][] SUB( B12,B22,BResult, HalfSize); //M3=A11(B12-B22) Strassen(HalfSize, A11, BResult, M3); //Mul(A11,BResult,M3); //M4[][] SUB( B21, B11, BResult, HalfSize); //M4=A22(B21-B11) Strassen(HalfSize, A22, BResult, M4); //Mul(A22,BResult,M4); //M5[][] ADD( A11, A12, AResult, HalfSize); //M5=(A11+A12)B22 Strassen(HalfSize, AResult, B22, M5); //Mul(AResult,B22,M5); //M6[][] SUB( A21, A11, AResult, HalfSize); ADD( B11, B12, BResult, HalfSize); //M6=(A21-A11)(B11+B12) Strassen( HalfSize, AResult, BResult, M6); //Mul(AResult,BResult,M6); //M7[][] SUB(A12, A22, AResult, HalfSize); ADD(B21, B22, BResult, HalfSize); //M7=(A12-A22)(B21+B22) Strassen(HalfSize, AResult, BResult, M7); //Mul(AResult,BResult,M7); //C11 = M1 + M4 - M5 + M7; ADD( M1, M4, AResult, HalfSize); SUB( M7, M5, BResult, HalfSize); ADD( AResult, BResult, C11, HalfSize); //C12 = M3 + M5; ADD( M3, M5, C12, HalfSize); //C21 = M2 + M4; ADD( M2, M4, C21, HalfSize); //C22 = M1 + M3 - M2 + M6; ADD( M1, M3, AResult, HalfSize); SUB( M6, M2, BResult, HalfSize); ADD( AResult, BResult, C22, HalfSize); //at this point , we have calculated the c11..c22 matrices, and now we are going to //put them together and make a unit matrix which would describe our resulting Matrix. for (int i = 0; i < N/2 ; i++) { for (int j = 0 ; j < N/2 ; j++) { MatrixC[i][j] = C11[i][j]; MatrixC[i][j + N / 2] = C12[i][j]; MatrixC[i + N / 2][j] = C21[i][j]; MatrixC[i + N / 2][j + N / 2] = C22[i][j]; } } // dont forget to free the space we alocated for matrices, for (int i = 0; i < newLength; i++) { delete[] A11[i];delete[] A12[i];delete[] A21[i]; delete[] A22[i]; delete[] B11[i];delete[] B12[i];delete[] B21[i]; delete[] B22[i]; delete[] C11[i];delete[] C12[i];delete[] C21[i]; delete[] C22[i]; delete[] M1[i];delete[] M2[i];delete[] M3[i];delete[] M4[i]; delete[] M5[i];delete[] M6[i];delete[] M7[i]; delete[] AResult[i];delete[] BResult[i] ; } delete[] A11;delete[] A12;delete[] A21;delete[] A22; delete[] B11;delete[] B12;delete[] B21;delete[] B22; delete[] C11;delete[] C12;delete[] C21;delete[] C22; delete[] M1;delete[] M2;delete[] M3;delete[] M4;delete[] M5; delete[] M6;delete[] M7; delete[] AResult; delete[] BResult ; }//end of else return 0; } int ADD(int** MatrixA, int** MatrixB, int** MatrixResult, int MatrixSize ) { for ( int i = 0; i < MatrixSize; i++) { for ( int j = 0; j < MatrixSize; j++) { MatrixResult[i][j] = MatrixA[i][j] + MatrixB[i][j]; } } return 0; } int SUB(int** MatrixA, int** MatrixB, int** MatrixResult, int MatrixSize ) { for ( int i = 0; i < MatrixSize; i++) { for ( int j = 0; j < MatrixSize; j++) { MatrixResult[i][j] = MatrixA[i][j] - MatrixB[i][j]; } } return 0; } int MUL( int** MatrixA, int** MatrixB, int** MatrixResult, int MatrixSize ) { for (int i=0;i<MatrixSize ;i++) { for (int j=0;j<MatrixSize ;j++) { MatrixResult[i][j]=0; for (int k=0;k<MatrixSize ;k++) { MatrixResult[i][j]=MatrixResult[i][j]+MatrixA[i][k]*MatrixB[k][j]; } } } return 0; } void FillMatrix( int** MatrixA, int** MatrixB, int length) { for(int row = 0; row<length; row++) { for(int column = 0; column<length; column++) { MatrixB[row][column] = (MatrixA[row][column] = rand() %5); //matrix2[row][column] = rand() % 2;//ba hazfe in khat 50% afzayeshe soorat khahim dasht } } } void PrintMatrix(int **MatrixA,int MatrixSize) { cout<<endl; for(int row = 0; row<MatrixSize; row++) { for(int column = 0; column<MatrixSize; column++) { cout<<MatrixA[row][column]<<"\t"; if ((column+1)%((MatrixSize)) == 0) cout<<endl; } } cout<<endl; }
Last edited by Masterx; 05-09-2010 at 12:27 PM.
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The Boost C++ Libraries (online Reference)
Bill Bryson"...a computer is a stupid machine with the ability to do incredibly smart things, while computer programmers are smart people with the ability to do incredibly stupid things. They are,in short, a perfect match.."