Results 21 to 30 of about 4,260,944 (197)
Exponential Time Differencing Algorithm for Pulse-Coupled Hodgkin-Huxley Neural Networks
The exponential time differencing (ETD) method allows using a large time step to efficiently evolve stiff systems such as Hodgkin-Huxley (HH) neural networks.
Zhong-qi Kyle Tian, Douglas Zhou
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In this paper, we investigate some nonoscillatory and oscillatory solutions for a class of second-order nonlinear neutral delay differential equations with positive and negative coefficients.
Rongrong Guo +2 more
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Second-Order Weak Approximations of CKLS and CEV Processes by Discrete Random Variables
In this paper, we construct second-order weak split-step approximations of the CKLS and CEV processes that use generation of a three−valued random variable at each discretization step without switching to another scheme near zero, unlike other known ...
Gytenis Lileika, Vigirdas Mackevičius
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Second-order gravitational self-force [PDF]
We derive an expression for the second-order gravitational self-force that acts on a self-gravitating compact-object moving in a curved background spacetime.
C. W. Misner +8 more
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Sharp results for oscillation of second-order neutral delay differential equations
The aim of the present paper is to continue earlier works by the authors on the oscillation problem of second-order half-linear neutral delay differential equations.
Martin Bohner +2 more
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Eliciting Second-Order Beliefs [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Subir Bose, Arup Daripa
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Second order transport from anomalies [PDF]
We study parity odd transport at second order in derivative expansion for a non-conformal charged fluid. We see that there are 27 parity odd transport coefficients, of which 12 are non-vanishing in equilibrium.
Bhattacharyya, Sayantani +2 more
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On second-order cone positive systems
Internal positivity offers a computationally cheap certificate for external (input-output) positivity of a linear time-invariant system. However, the drawback with this certificate lies in its realization dependency. Firstly, computing such a realization
Grussler, Christian, Rantzer, Anders
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The main focus of this study was to develop a numerical scheme with new expressions for interface flux approximations based on the upwind approach in the finite volume method.
Arafat Hussain +2 more
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Statistically Motivated Second Order Pooling [PDF]
Second-order pooling, a.k.a.~bilinear pooling, has proven effective for deep learning based visual recognition. However, the resulting second-order networks yield a final representation that is orders of magnitude larger than that of standard, first ...
A Cherian +13 more
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