Java Matrix Calculator
Created: 1996-97
Download the Java Source:
- MatrixCalculator.java ver. 1.6
- MatrixCalculator-1.5.java ver. 1.5
Change Log:
- Version 1.6 - June 30, 2005
Contributed by Pierre Sequin <sequin_pierre@yahoo.ca>
Updated so it accepts any rectangular matrix for the transpose and also for multiplication if matrices A and B are appropriate size (ie 2x3 3x5 are acceptable for multiplication and produce a 2x5 matrix) - Version 1.5 - June 13, 2002
A rewrite of the older Java applet which was lost many computers ago, only the functions were saved thanks to the web. This version was the first GUI in Swing. Source code fully available. - Earlier Versions - Original Version 1996-97. Lost.
No special classes or libraries are used with this application. The complete
source resides in the one file above. After downloading, the following should
work in any JDK 1.2 compatible compiler:
$ javac MatrixCalculator.java
$ java MatrixCalculator
Screen Shot
Matrix Calculator Tips/Help
All Matrices must be symmetric (n x n)
Enter Matrix Elements Row by Row seperated by spaces.
Ex. (3x3)
1 2 3 4 5 6 7 8 9
Results will be placed in the C matrix.
The calculation of the determinant, by definition, is based upon a factorial number of calculations with respect to the size of the matrix. ie. a 3x3 matrix would have 6 calculations (3!) to make, whereas a 20x20 matrix would have 2.43 x 10^18 calculations (20!). So instead of brute forcing the calculations, I first do some operations on the matrix, which converts it to a upper triangular matrix, and then calculate the determinant by multipling down the diagonal, since everything below is 0, this will give the determinant.
Floating Points and Accuracies
For some reason computers aren't as accurate as I think they are, probably my
calculation techniques. The accuracy of the numbers are probably only to 3
maybe 2 decimal places. If you keep applying operations to matrices and then use the
resultant matrix a couple of times, the decimals get out of whack.
Calculating an inverse and then multplying the matrix by it, is a good example of this.
Test Some Mathematical Theories
- The determinant of A-inverse equals 1 over the determinant of A.
- If two rows of matrix A are equal, the determinant of A equals 0.
- det(A*B)=det(A)det(B)
- A*B does not necessarily equal B*A
- The determinant of A-transpose equals the determinant of A.
- If the matrix B is constructed by interchanging two rows (columns) in matrix A, then the determinant of B equals the negative determinant of A
- You can test, adj(A) = det(A) * inv(A), but this is the theorem I use to calculate the inverse, so it better work.
Mathematics and Linear Algebra
Calculating the Determinant
The calculation of the determinant, by definition, is based upon a factorial number of
calculations with respect to the size of the matrix. ie. a 3x3 matrix would have 6
calculations (3!), whereas a 20x20 matrix would have 2.43 x 10^18 calculations
(20!).
So instead of brute forcing the calculations, I first do some operations on the matrix, which converts it to a upper triangular matrix, and then calculate the determinant by multipling down the diagonal, since everything below is 0, this will give the determinant.
See The Mathematics Behind Them for more information and mathematical explanations on the definitions and calculation techniques.