## all functions - Q

QRsolve

QRsolve(a, b) or QRsolve(a, b, which=which) returns the solution x (in a least squares or least norm sense described below) of the matrix equation: A(,+)*x(+) = B If A is an m-by-n matrix (i.e.- m equations in n unknowns), then B must have length m, and the returned x will have length n. If nSEE ALSO: LUsolve, TDsolve, SVsolve, SVdecm, the system is underdetermined -- many solutions are possible -- the returned x has minimum L2 norm among all solutions B may have additional dimensions, in which case the returned x will have the same additional dimensions also have those dimensions. The WHICH dimension of B and the returned x is the one of length m or n which participates in the matrix solve. By default, WHICH=1, so that the equations being solved are: A(,+)*x(+,..) = B Non-positive WHICH counts from the final dimension (as for the sort and transpose functions), so that WHICH=0 solves: A(,+)*x(..,+) = B QRsolve works by QR factorization if n m. QRsolve is slower than LUsolve. Its main attraction is that it can handle overdetermined or underdetermined systems of equations (nonsquare matrices). QRsolve may fail for singular systems; try SVsolve in this case. Interpreted function, defined at i0/matrix.i line 300