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Bedload transport rate in gravel-bed rivers under steady flow conditions shows large fluctuations (Singh et al., 2009). The development, destruction and migration of bedforms (Gomez et al., 1989; Recking et al., 2009), in combination with grain sorting (Is ...
Bedload transport rate in gravel-bed rivers under steady flow conditions shows large fluctuations (Singh et al., 2009). The development, destruction and migration of bedforms (Gomez et al., 1989; Recking et al., 2009), in combination with grain sorting (Is ...
Newcomb's problem is viewed as a dynamic game with an agent and a superior being as players. Depending on whether or not a risk-neutral agent's confidence in the superior being, as measured by a subjective probability assigned to the move order, exceeds a ...
We theoretically demonstrate a mechanism for bright soliton generation in spinor non-equilibrium Bose-Einstein condensates made of atoms or quasi-particles such as polaritons in semiconductor microcavities. We give analytical expressions for bright (half) ...
Direct methods that transform the geometry of a structure and conserve its static equilibrium are of particular interest for designers. They allow the exploration of alternative solutions at minimum computational cost. While parallel transformations (stret ...
We extend Kyle's (1985) model of insider trading to the case where noise trading volatility follows a general stochastic process. We determine conditions under which, in equilibrium, price impact and price volatility are both stochastic, driven by shocks t ...
The MHD model enables derivation and analysis of the rich structure of geodesic acoustic modes (GAMs) and zonal modes in axisymmetric magnetic confined plasmas. The modes are identifiable from a single dispersion relation as two branches of slow magnetoson ...
Within the fluvial network, river confluences are particular areas characterized by complex hydrodynamic, morphodynamic and sedimentary processes. These processes have been observed to be governed by parameters such as the discharge ratio, the junction ang ...
Parameter learning strongly amplifies the impact of macroeconomic shocks on marginal utility when the representative agent has a preference for early resolution of uncertainty. This occurs as rational belief updating generates subjective long-run consumpti ...
We propose a distributed upper confidence bound approach, DUCT, for solving distributed constraint optimization problems. We compare four variants of this approach with a baseline random sampling algorithm, as well as other complete and incomplete algorith ...