Search results
Results from the WOW.Com Content Network
You should not write matrix multiplication. You should depend on external libraries. In particular you should use the GEMM routine from the BLAS library. GEMM often provides the following optimizations. Blocking. Efficient Matrix Multiplication relies on blocking your matrix and performing several smaller blocked multiplies.
Whilst there's no built in Maths framework to do this in .NET (could use XNA's Maths library), there is a Matrix in the System.Windows.Media namespace.
I'm trying to solve a matrix multiplication problem with C. Matrix sizes given in problem (2x2) I wrote this code but it doesn't print result as I expect. I think I'm missing a point about rules of C.
I want to create a C program that calculates the multiplication of two N*N matrices by using threads. I started this code by referring to Matrix Multiplication using multiple threads but instead of
I need frequent usage of matrix_vector_mult() which multiplies matrix with vector, and below is its implementation. Question: Is there a simple way to make it significantly, at least twice, faster? Remarks: 1) The size of the matrix is about 300x50. It doesn't change during the run. 2) It must work on both Windows and Linux.
I attached bellow the code for Matrix Multiplication for any proper order with dynamic memory allocation. For completeness I used 3 different methods for matrix multiplication: one function double** multMatrixpf (see equivalent function Fortran/Pascal) and two subroutine/procedure(Fortran/Pascal like), where by first void multMatrixp you need to allocate_mem(&c,ro1,co2) outside and in second ...
matrix mult_std(matrix const& a, matrix const& b) { To give you more details we need to know the details of the other methods used. And to answer why the original method is 4 times faster we would need to see the original method.
There are multiple problems in the code: the arrays int a[r1][c1];, int b[r2][c2];, int c[r1][c2]; are defined before r1 and c1 have been read from the user: the code has potential undefined behavior as r1 and c1 are uninitialized, thus have indeterminate values: the allocation of the arrays may fail or cause undefined behavior if the sizes happen to be negative and accessing them with index ...
Your implementation of matrix multiplication is wrong due to multiple reasons. Matrix multiplication is carried out by computing the inner product of every row of the first matrix with every column of second matrix, which is essentially missed out in your implementation. you are using temp variable which points to a[i][k], which remains unchanged through out the inner most loop.
Next, general matrix multiplication using pointers, simply requires that you follow the rules of matrix multiplication. That means you can multiply a m x n matrix (matrix_a) with an n x p matrix (matrix_b) with the result having the dimensions of m x p (product matrix). See Matrix Multiplication for details.