The importance of constructing the appropriate Green function to solve a wide range of problems inelectromagnetics and partial differential equations is well-recognized by those dealing with classical electrodynamics and related fields. Although the subject of obtaining the Green function for certain geometries has been extensively studied and addressed in numerous sources, in this paper a syst...

(1) M(x) ≪ x 1 2. Conversely, the estimate M(x) ≪ x 12+ǫ implies, by partial summation, the convergence of the series ∑∞ n=1 μ(n)n −s = 1/ζ(s) for any σ > 1/2, and therefore RH. Subsequently, E. Landau [5] showed that, assuming RH, (1) is valid with ǫ ≪ log log log x/ log log x, and E.C. Titchmarsh [13] improved this to ǫ ≪ 1/ log log x. H. Maier and H.L. Montgomery [7] obtained a substantial i...

‎By p-power (or partial p-power) transformation‎, ‎the Lagrangian function in nonconvex optimization problem becomes locally convex‎. ‎In this paper‎, ‎we present a neural network based on an NCP function for solving the nonconvex optimization problem‎. An important feature of this neural network is the one-to-one correspondence between its equilibria and KKT points of the nonconvex optimizatio...