C#：声明和使用 XNA 向量进行矩阵乘法等。 人

Question

I am trying to declare and use XNA Vectors for Matrix Multiplication, Summation, etc. in C#.

Those will be used for Image processing to make it faster than regular SetPixel and GetPixel. However, I am always failing to find a working example and I tried many examples online but it seems I am missing something.

Any help and sample code?

Thanks!

Answer 1

If you are worried about Performance then you can revert to coding in unsafe context.

By marking a type, type member, or statement block with the unsafe keyword, you're permitted to use pointer types and perform C++ style pointer operations on memory within that scope, and to be able to do this within the managed execution framework. Unsafe code can run faster than a corresponding safe implementation.

Here is a nice, short example that comes from the book C# 4.0 in a Nutshell:

unsafe void BlueFilter (int[,] bitmap)
  {
    int length = bitmap.Length;
    fixed (int* b=bitmap)
    {
        int* p=b;
        for (int i=0, i<length; i++)
        *p++ &= 0xFF;
    }
   }

( Source )

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Apart from that you should also take a look at this SO Question

Why is matrix multiplication in .NET so slow?

Answer 2

Verctors are just 1 xn matrices. Create a Matrix class, with methods for summation and multiplication.

public class Matrix
{
    private int[,] m_array;

    public Matrix(int m, int n)
    {
        m_array = new int[m, n];
    }

    public Matrix(int[,] other)
    {
        m_array = other;
    }

    public Matrix Mult(Matrix other)
    {
        if (this.m_array.GetLength(1) != other.m_array.GetLength(0))
            return null;

        int[,] res = new int[this.m_array.GetLength(0), other.m_array.GetLength(1)];

        for (int i = 0; i < this.m_array.GetLength(0); ++i)
            for (int j = 0; j < other.m_array.GetLength(1); ++j)
            {
                int s = 0;
                for (int k = 0; k < this.m_array.GetLength(1); ++k)
                    s += this.m_array[i, k] * other.m_array[k, j];
                res[i, j] = s;
            }

        return new Matrix(res);
    }
}