Results 21 to 30 of about 4,391 (152)
A class of stochastic Runge–Kutta–Nyström (SRKN) methods for the strong approximation of second-order stochastic differential equations (SDEs) are proposed. The conditions for strong convergence global order 1.0 are given. The symplectic conditions for a
Qiang Ma +4 more
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Numerical Solution for Hybrid Fuzzy Differential Equation by Fifth Order Runge-Kutta Nystrom Method
This study discusses a numerical methods for hybrid fuzzy differential equations by fifth order RK Nystrom Method for fuzzy differential equations. We prove the convergence result and give numerical examples to illustrate the theory.
Jayakumar Thippan +1 more
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The spectral clustering method has notable advantages in segmentation. But the high computational complexity and time consuming limit its application in large-scale and dense airborne Light Detection and Ranging (LiDAR) point cloud data.
Yong Pang +6 more
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Janossy densities for chiral random matrix ensembles and their applications to two-color QCD
We compute individual distributions of low-lying eigenvalues of massive chiral random matrix ensembles by the Nyström-type quadrature method for evaluating the Fredholm determinant and Pfaffian that represent the analytic continuation of the Janossy ...
Hiroyuki Fuji +2 more
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In the field of pattern recognition, using the symmetric positive-definite matrices to represent image set has been widely studied, and sparse representation-based classification algorithm on the symmetric positive-definite matrix manifold has attracted ...
Chu Li, Xiao-Jun Wu
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A Note on the Construction of Explicit Symplectic Integrators for Schwarzschild Spacetimes
In recent publications, the construction of explicit symplectic integrators for Schwarzschild- and Kerr-type spacetimes is based on splitting and composition methods for numerical integrations of Hamiltonians or time-transformed Hamiltonians associated ...
Naying Zhou +3 more
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Integral equations play an important role for their applications in practical engineering and applied science, and nonlinear Urysohn integral equations can be applied when solving many problems in physics, potential theory and electrostatics, engineering,
Sara Remogna +2 more
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Efficient Preference Clustering via Random Fourier Features
Approximations based on random Fourier features have recently emerged as an efficient and elegant method for designing large-scale machine learning tasks.
Jingshu Liu, Li Wang, Jinglei Liu
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Sleep in Young Children With Autism, ADHD and Combined Presentations
ABSTRACT Autism and attention deficit hyperactivity disorder (ADHD) are often accompanied by sleep problems. Longitudinal studies hint towards a greater proportion of persisting sleep problems across early development in neurodivergent compared to neurotypical individuals. Within the context of a prospective infant sibling study of autism and ADHD (n =
Eva‐Maria Kurz +2 more
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A Numerical Study for the Dirichlet Problem of the Helmholtz Equation
In this paper, an effective numerical method for the Dirichlet problem connected with the Helmholtz equation is proposed. We choose a single-layer potential approach to obtain the boundary integral equation with the density function, and then we deal ...
Yao Sun, Shijie Hao
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