Gramm-Schmidt process only works for non-singular matrices, i.e. your column and row vectors need to be linearly independent. ... <看更多>

The Gram-Schmidt process takes a set of n linearly independent vectors as input and outputs a set of n orthogonal vectors which have the same span. ... <看更多>

You can take the vectors in any order you like. You will still get an orthonormal basis from the Gram-Schmidt process (though, in general, ... ... <看更多>

This is what the code does exactly. enter image description here. Basically it normalize the previous vector (column in A) and project the ... ... <看更多>