Trapezoidal least squares system

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I want to solve a least squares problem
$$
A x = b
$$
where $A$ is a $m times n$ lower trapezoidal matrix (zero above the diagonal), $x$ is $n times 1$, $b$ is $m times 1$, and $m > n$. So $A$ has the structure
$$
A = pmatrixL \ K
$$
where $L$ is $n times n$ lower triangular, and $K$ is $(m-n) times n$ and dense.



I can't find a LAPACK or BLAS routine to call to solve this. Can this system be solved efficiently without needing to perform a QR or SVD on the matrix $A$? $A$ is already in $LQ$ form so I'm hoping this can be taken advantage of somehow.










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    down vote

    favorite












    I want to solve a least squares problem
    $$
    A x = b
    $$
    where $A$ is a $m times n$ lower trapezoidal matrix (zero above the diagonal), $x$ is $n times 1$, $b$ is $m times 1$, and $m > n$. So $A$ has the structure
    $$
    A = pmatrixL \ K
    $$
    where $L$ is $n times n$ lower triangular, and $K$ is $(m-n) times n$ and dense.



    I can't find a LAPACK or BLAS routine to call to solve this. Can this system be solved efficiently without needing to perform a QR or SVD on the matrix $A$? $A$ is already in $LQ$ form so I'm hoping this can be taken advantage of somehow.










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      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I want to solve a least squares problem
      $$
      A x = b
      $$
      where $A$ is a $m times n$ lower trapezoidal matrix (zero above the diagonal), $x$ is $n times 1$, $b$ is $m times 1$, and $m > n$. So $A$ has the structure
      $$
      A = pmatrixL \ K
      $$
      where $L$ is $n times n$ lower triangular, and $K$ is $(m-n) times n$ and dense.



      I can't find a LAPACK or BLAS routine to call to solve this. Can this system be solved efficiently without needing to perform a QR or SVD on the matrix $A$? $A$ is already in $LQ$ form so I'm hoping this can be taken advantage of somehow.










      share|cite|improve this question















      I want to solve a least squares problem
      $$
      A x = b
      $$
      where $A$ is a $m times n$ lower trapezoidal matrix (zero above the diagonal), $x$ is $n times 1$, $b$ is $m times 1$, and $m > n$. So $A$ has the structure
      $$
      A = pmatrixL \ K
      $$
      where $L$ is $n times n$ lower triangular, and $K$ is $(m-n) times n$ and dense.



      I can't find a LAPACK or BLAS routine to call to solve this. Can this system be solved efficiently without needing to perform a QR or SVD on the matrix $A$? $A$ is already in $LQ$ form so I'm hoping this can be taken advantage of somehow.







      linear-algebra least-squares






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      edited Aug 30 at 17:06

























      asked Aug 30 at 5:06









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