Gauss Elimination is one method to solve linear equation system. From linear equation system is made a matrix that consist a number of coeffisien unknown variable and their constant. This matrix is changed to upper/lower triangle matrix... and is changed one more to identity matrix. this process is shown above:
Senin, 12 Januari 2009
Matlab Script for Gauss Elimination
Minggu, 16 November 2008
Image compression with Run Length Encoding (RLE) Algorithm
Before it, i made a script about image compression use quantization algorithm. This algorithm is lossy compression, it means we can't decompression our image file after compression.
With RLE algorithm we can save all information in our image.... so nothing to loss. How RLE algorithm work? I will use 6x6 pixel grayscale image (8 degree grayscale) below:
1 1 1 7 1 34 4 6 1 2 2
7 7 7 5 5 5
6 4 4 2 2 2
5 5 2 2 2 1
2 3 3 3 0 0
RLE code is a number that contains color intensity and frequency of color intensity coming. Here, we get RLE code below:
1 3 7 1 1 1 3 1 4 2 6 1 1 1 2 2 7 3 5 3 6 1 4 2 2 3 5 2 2 3 1 1 2 1 3 3 0 2
And here source code to make RLE code.... that made with Matlab.
Jumat, 31 Oktober 2008
Solution of Linear Equation System with Cramer Method
Actually to get solution of Linear Equation System, we can do it very easy with Matlab. But, remember if in the past we studied Crammer Method for this. Crammer method given in below :
From that method we can arrange an algorithm :
One : input A and B matrix.
Two : We must know dimension of matrix, because matrix A mus be square and matrix B is one column matrix that sum of row equal to matrix A.
Three : We also must know determinat matrix, because matrix A is not singular.
Four : Find matrix A1 until An, and determinat it self.

One : input A and B matrix.
Two : We must know dimension of matrix, because matrix A mus be square and matrix B is one column matrix that sum of row equal to matrix A.
Three : We also must know determinat matrix, because matrix A is not singular.
Four : Find matrix A1 until An, and determinat it self.
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