Results 41 to 50 of about 91,464 (283)

Importance Sampling for Time-Variant Reliability Analysis

IEEE Access, 2021
Importance sampling methods are extensively used in time-independent reliability analysis. However, the kind of methods is barely studied in the field of time-variant reliability analysis.
Jian Wang, Runan Cao, Zhili Sun
doaj   +1 more source

Robust Sparse Bayesian Learning for Off-Grid DOA Estimation With Non-Uniform Noise

IEEE Access, 2018
The performance of traditional sparse representation-based direction-of-arrival (DOA) estimation algorithm is substantially degraded in the presence of non-uniform noise and off-grid gap caused by the discretization processes.
Huafei Wang, Xianpeng Wang, Liangtian Wan, Mengxing Huang   +3 more
doaj   +1 more source

Path planning algorithm of robot arm based on improved RRT* and BP neural network algorithm

Journal of King Saud University: Computer and Information Sciences, 2023
To address the issues of slow motion planning, low efficiency, and high path calculation cost of the six-degrees of freedom manipulator in three dimensional multi-obstacle narrow space, a path planning method of the manipulator based on Back Propagation (
Qingyang Gao, Qingni Yuan, Yu Sun, Liangyao Xu   +3 more
doaj   +1 more source

Analysis of the Gibbs sampler for hierarchical inverse problems [PDF]

, 2014
Many inverse problems arising in applications come from continuum models where the unknown parameter is a field. In practice the unknown field is discretized resulting in a problem in $\mathbb{R}^N$, with an understanding that refining the discretization,
Agapiou, Sergios, Bardsley, Johnathan M., Papaspiliopoulos, Omiros, Stuart, Andrew M.   +3 more
core   +6 more sources

Parametric Estimation of Diffusion Processes: A Review and Comparative Study

Mathematics, 2021
This paper provides an in-depth review about parametric estimation methods for stationary stochastic differential equations (SDEs) driven by Wiener noise with discrete time observations.
Alejandra López-Pérez, Manuel Febrero-Bande, Wencesalo González-Manteiga   +2 more
doaj   +1 more source

Discrete-time port-Hamiltonian systems: A definition based on symplectic integration [PDF]

, 2018
We introduce a new definition of discrete-time port-Hamiltonian systems (PHS), which results from structure-preserving discretization of explicit PHS in time.
Kotyczka, Paul, Lefèvre, Laurent
core   +4 more sources

Research on the Dynamic Path Planning of Manipulators Based on a Grid-Local Probability Road Map Method

IEEE Access, 2021
A Grid-Local Probability Road Map (PRM) method was proposed for the path planning of manipulators in dynamic environments. Based on the idea of boundary discretization, a double-grid model was built to obtain a mapping from dynamic obstacles to ...
Youyu Liu, Bo Chen, Xuyou Zhang, Renjun Li   +3 more
doaj   +1 more source

Onsager-Machlup action-based path sampling and its combination with replica exchange for diffusive and multiple pathways

, 2010
For sampling multiple pathways in a rugged energy landscape, we propose a novel action-based path sampling method using the Onsager-Machlup action functional.
Akinori Kidera, Hiroshi Fujisaki, Motoyuki Shiga, Vlugt T. J. H.   +3 more
core   +1 more source

Convergence of Limiting Cases of Continuous-Time, Discrete-Space Jump Processes to Diffusion Processes for Bayesian Inference

Mathematics
Jump-diffusion algorithms are applied to sampling from Bayesian posterior distributions. We consider a class of random sampling algorithms based on continuous-time jump processes.
Aaron Lanterman
doaj   +1 more source

Refinement of Thermostated Molecular Dynamics Using Backward Error Analysis

, 2019
Kinetic energy equipartition is a premise for many deterministic and stochastic molecular dynamics methods that aim at sampling a canonical ensemble. While this is expected for real systems, discretization errors introduced by the numerical integration ...
Abreu, Charlles R. A., Silveira, Ana J.
core   +1 more source