312 research outputs found

    Risk Route Choice Analysis and the Equilibrium Model under Anticipated Regret Theory

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    The assumption about travellers’ route choice behaviour has major influence on the traffic flow equilibrium analysis. Previous studies about the travellers’ route choice were mainly based on the expected utility maximization theory. However, with the gradually increasing knowledge about the uncertainty of the transportation system, the researchers have realized that there is much constraint in expected util­ity maximization theory, because expected utility maximiza­tion requires travellers to be ‘absolutely rational’; but in fact, travellers are not truly ‘absolutely rational’. The anticipated regret theory proposes an alternative framework to the tra­ditional risk-taking in route choice behaviour which might be more scientific and reasonable. We have applied the antici­pated regret theory to the analysis of the risk route choosing process, and constructed an anticipated regret utility func­tion. By a simple case which includes two parallel routes, the route choosing results influenced by the risk aversion degree, regret degree and the environment risk degree have been analyzed. Moreover, the user equilibrium model based on the anticipated regret theory has been established. The equivalence and the uniqueness of the model are proved; an efficacious algorithm is also proposed to solve the model. Both the model and the algorithm are demonstrated in a real network. By an experiment, the model results and the real data have been compared. It was found that the model re­sults can be similar to the real data if a proper regret degree parameter is selected. This illustrates that the model can better explain the risk route choosing behaviour. Moreover, it was also found that the traveller’ regret degree increases when the environment becomes more and more risky.</p

    A New Two-dimensional Model-based Subspace Method for Large-scale Unconstrained Derivative-free Optimization: 2D-MoSub

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    This paper proposes the method 2D-MoSub (2-dimensional model-based subspace method), which is a novel derivative-free optimization (DFO) method based on the subspace method for general unconstrained optimization and especially aims to solve large-scale DFO problems. 2D-MoSub combines 2-dimensional quadratic interpolation models and trust-region techniques to iteratively update the points and explore the 2-dimensional subspace. 2D-MoSub's framework includes initialization, constructing the interpolation set, building the quadratic interpolation model, performing trust-region trial steps, and updating the trust-region radius and subspace. Experimental results demonstrate the effectiveness and efficiency of 2D-MoSub in solving a variety of optimization problems.Comment: 22 page

    Longitudinal spin excitations and magnetic anisotropy in antiferromagnetically ordered BaFe2As2

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    We report on a spin-polarized inelastic neutron scattering study of spin waves in the antiferromagnetically ordered state of BaFe2As2. Three distinct excitation components are identified, with spins fluctuating along the c-axis, perpendicular to the ordering direction in the ab-plane, and parallel to the ordering direction. While the first two "transverse" components can be described by a linear spin-wave theory with magnetic anisotropy and inter-layer coupling, the third "longitudinal" component is generically incompatible with the local moment picture. It points towards a contribution of itinerant electrons to the magnetism already in the parent compound of this family of Fe-based superconductors.Comment: 4 pages, 4 figures, plus Supplemental Materia

    Stability and Bautin bifurcation of four-wheel-steering vehicle system with driver steering control

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    Acknowledgments This work is supported by the National Natural Science Foundation of China (Nos. 12202168, 12072291,12172306).Peer reviewedPostprin

    Nematic crossover in BaFe2_2As2_2 under uniaxial stress

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    Raman scattering can detect spontaneous point-group symmetry breaking without resorting to single-domain samples. Here we use this technique to study BaFe2As2\mathrm{BaFe_2As_2}, the parent compound of the "122" Fe-based superconductors. We show that an applied compression along the Fe-Fe direction, which is commonly used to produce untwinned orthorhombic samples, changes the structural phase transition at temperature TsT_{\mathrm{s}} into a crossover that spans a considerable temperature range above TsT_{\mathrm{s}}. Even in crystals that are not subject to any applied force, a distribution of substantial residual stress remains, which may explain phenomena that are seemingly indicative of symmetry breaking above TsT_{\mathrm{s}}. Our results are consistent with an onset of spontaneous nematicity only below TsT_{\mathrm{s}}.Comment: 4 pages, 4 figure

    Nematic magnetoelastic effect contrasted between Ba(Fe1x_{1-x}Cox_{x})2_2As2_2 and FeSe

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    To elucidate the origin of nematic order in Fe-based superconductors, we report a Raman scattering study of lattice dynamics, which quantify the extent of C4C_4-symmetry breaking, in BaFe2_2As2_2 and FeSe. FeSe possesses a nematic ordering temperature TsT_\mathrm{s} and orbital-related band-energy split below TsT_\mathrm{s} that are similar to those in BaFe2_2As2_2, but unlike BaFe2_2As2_2 it has no long-range magnetic order. We find that the EgE_g phonon-energy split in FeSe sets in only well below TsT_\mathrm{s}, and its saturated value is substantially smaller than that in BaFe2_2As2_2. Together with reported results for the Ba(Fe1x_{1-x}Cox_{x})2_2As2_2 family, the data suggest that magnetism exerts a major influence on the lattice.Comment: 4 pages, 4 figure
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