  In this paper, based on a double inertial extrapolation steps strategy and
relaxation techniques, we introduce a new Tseng splitting method with double
inertial extrapolation steps and self-adaptive step sizes for solving monotone
inclusion problems in real Hilbert spaces. Finally, several numerical
experiments are provided to illustrate the performance and theoretical outcomes
of our algorithm.
