id: 04039648
dt: j
an: 04039648
au: Vespucci, Maria Teresia
ti: An efficient code for the minimization of highly nonlinear and large
    residual least squares functions.
so: Optimization 18, 825-855 (1987).
py: 1987
pu: Taylor \& Francis, Abingdon, Oxon
la: EN
cc: 
ut: unconstrained least squares problem; Quasi-Newton approximation; second
    order term; Hessian
ci: 
li: doi:10.1080/02331938708843298
ab: A new code for solving the unconstrained least squares problem is given, in
    which a Quasi-Newton approximation to the second order term of the
    Hessian is added to the first order term of the Gauss-Newton method and
    a line search based upon a quartic model is used. The new algorithm is
    shown numerically to be more efficient on large residual problems than
    the Gauss-Newton method and a general purpose minimization algorithm
    based upon BFGS formula. The listing and the user’s guide of the code
    is also given.
rv: