For a given square matrix A, if there exist two matrices Q and R such that A = QR where Q is an orthogonal matrix (i.e transpose(Q)=inverse(Q)) and R is an upper traingular matrix. then the product QR is called a QR decomposition or QR fatorization of A * Mathematica 에서 QR 분해하기 (분수로 계산) * Mathematica 에서 QR 분해하기 (부동소수점수 계산) * 64bit Ubuntu 의 Octave 에서 QR 분해하기 octave:1> a = [3, 4; 1, 2]; octave:2> ..
