Results 281 to 290 of about 2,178,860 (334)
Closed-Form Approximations of Range Mutual Information for Integrated Sensing and Communication Systems. [PDF]
Sensors (Basel)Lai Z, Luo H, Wang Y, Zhang Y, Jin B.
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Higher-Order Correlations Between Thermodynamic Fluctuations in Compressible Aerodynamic Turbulence. [PDF]
Entropy (Basel)Gerolymos GA, Vallet I.
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Morphodynamics of surface-attached active drops. [PDF]
Nat CommunMartínez-Calvo A, Datta SS.
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Higher-order transition state approximation
The Journal of Chemical Physics, 2022We generalize Slater’s transition state concept by deriving systematic higher-order transition state approximations. Numerical validation is performed by the calculation of transition energies for various excitations, including core, valence, and charge-transfer excitations, at Hartree–Fock and Kohn–Sham density functional theory levels.
Takahito Nakajima +2 more
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2021
This chapter focuses on the approximation of nonlinear hyperbolic systems using finite elements. We describe a somewhat loose adaptation to finite elements of a scheme introduced by Lax. The method, introduced by Guermond, Nazarov, and Popov, can be informally shown to be first-order accurate in time and space and to preserve every invariant set of the
Alexandre Ern, Jean-Luc Guermond
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This chapter focuses on the approximation of nonlinear hyperbolic systems using finite elements. We describe a somewhat loose adaptation to finite elements of a scheme introduced by Lax. The method, introduced by Guermond, Nazarov, and Popov, can be informally shown to be first-order accurate in time and space and to preserve every invariant set of the
Alexandre Ern, Jean-Luc Guermond
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2021
The objective of this chapter is to describe techniques that preserve the invariant domain property of the algorithm introduced in the previous chapter and increase its accuracy in time and space. The argumentation for the time approximation is done for general hyperbolic systems, but the argumentation for the space approximation is done for scalar ...
Alexandre Ern, Jean-Luc Guermond
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The objective of this chapter is to describe techniques that preserve the invariant domain property of the algorithm introduced in the previous chapter and increase its accuracy in time and space. The argumentation for the time approximation is done for general hyperbolic systems, but the argumentation for the space approximation is done for scalar ...
Alexandre Ern, Jean-Luc Guermond
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Approximate Order Dependency Discovery
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021Lexicographical order dependencies (ODs) specify orders between list of attributes, and are proven useful in optimizing SQL queries with order by clauses. To find hidden ODs from dirty data in practice, in this paper we make a first effort to study the approximate OD discovery problem, aiming at automatically discovering ODs that hold on the data with ...
Yifeng Jin +3 more
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Second-Order Approximations of Ascertainment Probabilities
Biometrics, 1980A second-order correction is derived for the usual first-order order approximation to the probability of ascertaining a pedigree. Both the first- and second-order approximations are compared to the exact ascertainment probability for selected examples of monogenic and polygenic traits.
Hodge, Susan E. +3 more
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