Least-Squares Delayed Weighted Gradient Method

. The delayed weighted gradient algorithm (DWGM) is proved to be a robust iterative procedure to solve convex quadratic optimization problems. Its theoretical and numerical performance is similar to the conjugate gradient method. In this work we specialize the DWGM to deal with least-squares problems. Numerical experimentation is o(cid:27)ered to show the e(cid:27)ectiveness of the approach.