Anyone know of a method to normalize a matrix by the sum of squares? I.E you''re given a matrix and if you sum all the squares they equal 1. At first I though this would be simple to do, but I couldn''t figure it out, and can''t seem to find anything about how to do it, on-line.

I''m not sure that I understand what you mean.

Even if I did, you should not post homework questions in this forum.

Cédric

If I understand your question correctly, you normalize a matrix the same way you normalize everything else, ie. divide every element by the magnitude. Ex:

matrix=
[m11, m12, m13]
[m21, m22, m23]

magnitude= sqrt(m11^2+m12^2+m13^2+m21^2+m22^2+m23^2)

normalized_matrix=
[m11 / magnitude, m12 / magnitude, m13 / magnitude]
[m21 / magnitude, m22 / magnitude, m23 / magnitude]

test:
m11^2+m12^2+m13^2+m21^2+m22^2+m23^2 == 1

Hope that helps!
Spartacus

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Real programmers don''t document, if it was hard to write it should be hard to understand

I don''t feel this is a homework question (though it might be). But if you are trying to normalize the matrix for game math, I wonder if you''re trying to do the wrong thing?

Graham Rhodes
Senior Scientist
Applied Research Associates, Inc.