  We show that accelerated optimization methods can be seen as particular
instances of multi-step integration schemes from numerical analysis, applied to
the gradient flow equation. In comparison with recent advances in this vein,
the differential equation considered here is the basic gradient flow and we
show that multi-step schemes allow integration of this differential equation
using larger step sizes, thus intuitively explaining acceleration results.
