The Experts below are selected from a list of 70623 Experts worldwide ranked by ideXlab platform

Zhiming Chen - One of the best experts on this subject based on the ideXlab platform.

  • an adaptive anisotropic perfectly matched layer method for 3 d time harmonic electromagnetic scattering problems
    Numerische Mathematik, 2013
    Co-Authors: Zhiming Chen, Tao Cui, Linbo Zhang
    Abstract:

    We develop an anisotropic perfectly matched layer (PML) method for solving the time harmonic electromagnetic scattering problems in which the PML coordinate stretching is performed only in one direction outside a cuboid domain. The PML parameters such as the thickness of the layer and the absorbing medium property are determined through sharp a posteriori error estimates. Combined with the adaptive finite element method, the proposed adaptive anisotropic PML method provides a complete numerical strategy to solve the scattering problem in the framework of FEM which produces automatically a coarse mesh size away from the fixed domain and thus makes the total computational costs insensitive to the choice of the thickness of the PML layer. Numerical experiments are included to illustrate the Competitive Behavior of the proposed adaptive method.

  • an anisotropic perfectly matched layer method for helmholtz scattering problemswith discontinuous wave number
    Inverse Problems and Imaging, 2013
    Co-Authors: Zhiming Chen, Chao Liang, Xueshuang Xiang
    Abstract:

    The anisotropic perfectly matched layer (PML) defines a continuous vector field outside a rectangle domain and performs the complex coordinate stretching along the direction of the vector field. In this paper we propose a new way of constructing the vector field which allows us to prove the exponential decay of the stretched Green function without the constraint on the thickness of the PML layer. We report numerical experiments to illustrate the Competitive Behavior of the proposed PML method.

  • the adaptive immersed interface finite element method for elliptic and maxwell interface problems
    Journal of Computational Physics, 2009
    Co-Authors: Zhiming Chen, Yuanming Xiao, Linbo Zhang
    Abstract:

    We propose self-adaptive finite element methods with error control for solving elliptic and electromagnetic problems with discontinuous coefficients. The meshes in the methods do not need to fit the interfaces. New error indicators are introduced to control the error due to non-body-fitted meshes. Flexible h-adaptive strategies are developed, which can be systematically extended to a large class of interface problems. Extensive numerical experiments are performed to support the theoretical results and to show the Competitive Behavior of the adaptive algorithm even for interfaces involving corner or tip singularities.

  • an adaptive perfectly matched layer technique for 3 d time harmonic electromagnetic scattering problems
    Mathematics of Computation, 2007
    Co-Authors: Junqing Chen, Zhiming Chen
    Abstract:

    An adaptive perfectly matched layer (PML) technique for solving the time harmonic electromagnetic scattering problems is developed. The PML parameters such as the thickness of the layer and the fictitious medium property are determined through sharp a posteriori error estimates. Combined with the adaptive finite element method, the adaptive PML technique provides a complete numerical strategy to solve the scattering problem in the framework of FEM which produces automatically a coarse mesh size away from the fixed domain and thus makes the total computational costs insensitive to the thickness of the PML absorbing layer. Numerical experiments are included to illustrate the Competitive Behavior of the proposed adaptive method.

  • an adaptive finite element algorithm with reliable and efficient error control for linear parabolic problems
    Mathematics of Computation, 2004
    Co-Authors: Zhiming Chen, Jia Feng
    Abstract:

    An efficient and reliable a posteriori error estimate is derived for linear parabolic equations which does not depend on any regularity assumption on the underlying elliptic operator. An adaptive algorithm with variable time-step sizes and space meshes is proposed and studied which, at each time step, delays the mesh coarsening until the final iteration of the adaptive procedure, allowing only mesh and time-step size refinements before. It is proved that at each time step the adaptive algorithm is able to reduce the error indicators (and thus the error) below any given tolerance within a finite number of iteration steps. The key ingredient in the analysis is a new coarsening strategy. Numerical results are presented to show the Competitive Behavior of the proposed adaptive algorithm.

Corinne Bendersky - One of the best experts on this subject based on the ideXlab platform.

  • not all inequality is created equal effects of status versus power hierarchies on competition for upward mobility
    Journal of Personality and Social Psychology, 2015
    Co-Authors: Nicholas A Hays, Corinne Bendersky
    Abstract:

    Although hierarchies are thought to be beneficial for groups, empirical evidence is mixed. We argue and find in 7 studies spanning methodologies and samples that different bases of hierarchical differentiation have distinct effects on lower ranking group members� disruptive Competitive Behavior because status hierarchies are seen as more mutable than are power hierarchies. Greater mutability means that more opportunity exists for upward mobility, which motivates individuals to compete in hopes of advancing their placement in the hierarchy. This research provides further evidence that different bases of hierarchy can have different effects on individuals and the groups of which they are a part and explicates a mechanism for those effects. (PsycINFO Database Record (c) 2015 APA, all rights reserved)

  • not all inequality is created equal effects of status versus power hierarchies on competition for upward mobility
    Journal of Personality and Social Psychology, 2015
    Co-Authors: Nicholas A Hays, Corinne Bendersky
    Abstract:

    Although hierarchies are thought to be beneficial for groups, empirical evidence is mixed. We argue and find in 7 studies spanning methodologies and samples that different bases of hierarchical differentiation have distinct effects on lower ranking group members' disruptive Competitive Behavior because status hierarchies are seen as more mutable than are power hierarchies. Greater mutability means that more opportunity exists for upward mobility, which motivates individuals to compete in hopes of advancing their placement in the hierarchy. This research provides further evidence that different bases of hierarchy can have different effects on individuals and the groups of which they are a part and explicates a mechanism for those effects.

Linbo Zhang - One of the best experts on this subject based on the ideXlab platform.

  • an adaptive anisotropic perfectly matched layer method for 3 d time harmonic electromagnetic scattering problems
    Numerische Mathematik, 2013
    Co-Authors: Zhiming Chen, Tao Cui, Linbo Zhang
    Abstract:

    We develop an anisotropic perfectly matched layer (PML) method for solving the time harmonic electromagnetic scattering problems in which the PML coordinate stretching is performed only in one direction outside a cuboid domain. The PML parameters such as the thickness of the layer and the absorbing medium property are determined through sharp a posteriori error estimates. Combined with the adaptive finite element method, the proposed adaptive anisotropic PML method provides a complete numerical strategy to solve the scattering problem in the framework of FEM which produces automatically a coarse mesh size away from the fixed domain and thus makes the total computational costs insensitive to the choice of the thickness of the PML layer. Numerical experiments are included to illustrate the Competitive Behavior of the proposed adaptive method.

  • the adaptive immersed interface finite element method for elliptic and maxwell interface problems
    Journal of Computational Physics, 2009
    Co-Authors: Zhiming Chen, Yuanming Xiao, Linbo Zhang
    Abstract:

    We propose self-adaptive finite element methods with error control for solving elliptic and electromagnetic problems with discontinuous coefficients. The meshes in the methods do not need to fit the interfaces. New error indicators are introduced to control the error due to non-body-fitted meshes. Flexible h-adaptive strategies are developed, which can be systematically extended to a large class of interface problems. Extensive numerical experiments are performed to support the theoretical results and to show the Competitive Behavior of the adaptive algorithm even for interfaces involving corner or tip singularities.

Nicholas A Hays - One of the best experts on this subject based on the ideXlab platform.

  • not all inequality is created equal effects of status versus power hierarchies on competition for upward mobility
    Journal of Personality and Social Psychology, 2015
    Co-Authors: Nicholas A Hays, Corinne Bendersky
    Abstract:

    Although hierarchies are thought to be beneficial for groups, empirical evidence is mixed. We argue and find in 7 studies spanning methodologies and samples that different bases of hierarchical differentiation have distinct effects on lower ranking group members� disruptive Competitive Behavior because status hierarchies are seen as more mutable than are power hierarchies. Greater mutability means that more opportunity exists for upward mobility, which motivates individuals to compete in hopes of advancing their placement in the hierarchy. This research provides further evidence that different bases of hierarchy can have different effects on individuals and the groups of which they are a part and explicates a mechanism for those effects. (PsycINFO Database Record (c) 2015 APA, all rights reserved)

  • not all inequality is created equal effects of status versus power hierarchies on competition for upward mobility
    Journal of Personality and Social Psychology, 2015
    Co-Authors: Nicholas A Hays, Corinne Bendersky
    Abstract:

    Although hierarchies are thought to be beneficial for groups, empirical evidence is mixed. We argue and find in 7 studies spanning methodologies and samples that different bases of hierarchical differentiation have distinct effects on lower ranking group members' disruptive Competitive Behavior because status hierarchies are seen as more mutable than are power hierarchies. Greater mutability means that more opportunity exists for upward mobility, which motivates individuals to compete in hopes of advancing their placement in the hierarchy. This research provides further evidence that different bases of hierarchy can have different effects on individuals and the groups of which they are a part and explicates a mechanism for those effects.

Burkhard C Schipper - One of the best experts on this subject based on the ideXlab platform.

  • the visible hand finger ratio 2d 4d and Competitive Behavior
    Experimental Economics, 2012
    Co-Authors: Matthew Pearson, Burkhard C Schipper
    Abstract:

    In an experiment using two-bidder rst-price sealed bid auctions with symmetric independent private values, we scan also the right hand of each subject. We study how the ratio of the length of the index and ring ngers (2D:4D) of the right hand, a measure of prenatal hormone exposure, is correlated with bidding Behavior and total prots.

  • the visible hand finger ratio 2d 4d and Competitive Behavior
    Research Papers in Economics, 2009
    Co-Authors: Matthew Pearson, Burkhard C Schipper
    Abstract:

    In an experiment using two-bidder first-price sealed bid auctions with symmetric independent private values and 400 subjects, we scan also the right hand of each subject. We study how the ratio of the length of the index and ring fingers (2D:4D) of the right hand, a measure of prenatal hormone exposure, is correlated with bidding Behavior and total profits. 2D:4D has been reported to predict Competitiveness in sports competition (Manning and Taylor, 2001, and Hoenekopp, Manning, and Mueller, 2006), risk aversion in lottery tasks (Dreber and Hoffman, 2007, Garbarino et al., 2010), and the average profitability of high-frequency traders in financial markets (Coates, Gurnell, and Rustichini, 2009). We do not find any significant correlation between 2D:4D on either bidding or profits. However, there might be racial differences in the correlation between 2D:4D and bidding and profits.