Convergence of a Relaxed Inertial Forward–Backward Algorithm for Structured Monotone Inclusions
Copyright policy )Convergence of a Relaxed Inertial Forward–Backward Algorithm for Structured Monotone Inclusions
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Programming in abstract spaces, Convex programming, Numerical optimization and variational techniques, Forward backward algorithm, sum, extragradient, Proximal-gradient method, [MATH] Mathematics [math], proximal point algorithm, convergence rate, iteration-complexity, inertial forward-backward algorithms, Numerical mathematical programming methods, relaxation, Monotone inclusion, convex minimization, cocoercive operators, nonconvex, convergence, Numerical methods based on nonlinear programming, Numerical solutions to equations with nonlinear operators, operators, splitting method, Nash equilibration, structured monotone inclusions, inertial Krasnoselskii-Mann iteration
Programming in abstract spaces, Convex programming, Numerical optimization and variational techniques, Forward backward algorithm, sum, extragradient, Proximal-gradient method, [MATH] Mathematics [math], proximal point algorithm, convergence rate, iteration-complexity, inertial forward-backward algorithms, Numerical mathematical programming methods, relaxation, Monotone inclusion, convex minimization, cocoercive operators, nonconvex, convergence, Numerical methods based on nonlinear programming, Numerical solutions to equations with nonlinear operators, operators, splitting method, Nash equilibration, structured monotone inclusions, inertial Krasnoselskii-Mann iteration
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