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Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics
We introduce a novel geometry-informed irreversible perturbation that accelerates convergence of the Langevin algorithm for Bayesian computation. It...
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The Convergence of Container and Traditional Virtualization: Strengths and Limitations
Virtual machines (VMs) are used extensively in the cloud. The underlying hypervisors allow hardware resources to be split into multiple virtual units...
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A hierarchical sparrow search algorithm to solve numerical optimization and estimate parameters of carbon fiber drawing process
The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm and has been widely studied in recent years. Nevertheless, as...
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Unconditionally optimal H1-error estimate of a fast nonuniform L2-1σ scheme for nonlinear subdiffusion equations
This paper is concerned with the unconditionally optimal H 1 -error estimate of a fast second-order scheme for solving nonlinear subdiffusion equations...
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A fast convergence EO-based multi-objective optimization algorithm using archive evolution path and its application to engineering design problems
Time-consuming objective functions are inevitable in practical engineering optimization problems. This kind of function makes the implementation of...
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Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization
This paper proposes two analytical methods which completely separate the search performance of multi-objective evolutionary algorithms (MOEAs) into...
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Convergence of the Nelder-Mead method
We develop a matrix form of the Nelder-Mead simplex method and show that its convergence is related to the convergence of infinite matrix products....
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Technology convergence among various technical fields: improvement of entropy estimation in patent analysis
Recent years have witnessed rapid and widespread technology convergence (TC) in various technical fields. Researchers often focus on develo** new...
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Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by \(\alpha \)-stable noise and applications
In this paper, the discrete parametrix method is adopted to investigate the estimation of transition kernel for Euler-Maruyama scheme SDEs driven by
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Deep HarDec: Deep Neural Network Applied to Estimate Harmonic Decomposition
A Deep Harmonic Decomposition (Deep HarDec) approach is proposed in this paper, being developed by means of a deep neural network, allowing to obtain...
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BAFS: binary artificial bee colony based feature selection approach to estimate software development effort
During the Software Development Life Cycle (SDLC) process, software effort estimation models need to determine the effort required to build a project...
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Swift Convergence: Federated Learning Enhanced with GMMs for Image Classification
In Federated learning (FL), FederatedAveraging(FedAvg) is widely used to compute the weighted mean of local models in the parametric space over time...
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Observer-Based Nonsingular Terminal Sliding Mode Guidance Law with Fixed-Time Convergence
In order to solve the problems of singularity, slow convergence rate and external disturbance, a non-singular fixed-time sliding mode guidance law...
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Convergence rate bounds for iterative random functions using one-shot coupling
One-shot coupling is a method of bounding the convergence rate between two copies of a Markov chain in total variation distance, which was first...
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Unbiased quasi-hyperbolic nesterov-gradient momentum-based optimizers for accelerating convergence
In the training process of deep learning models, one of the important steps is to choose an appropriate optimizer that directly determines the final...
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Balanced-norm error estimate of the local discontinuous Galerkin method on layer-adapted meshes for reaction-diffusion problems
We study the local discontinuous Galerkin (LDG) method on layer-adapted meshes for singularly perturbed problems. For these problems of...
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Convergence rate and exponential stability of backward Euler method for neutral stochastic delay differential equations under generalized monotonicity conditions
This work focuses on the numerical approximations of neutral stochastic delay differential equations with their drift and diffusion coefficients...
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Strong convergence of explicit numerical schemes for stochastic differential equations with piecewise continuous arguments
In 2015, Mao (J. Comput. Appl. Math., 290, 370–384, 2015) proposed the truncated Euler-Maruyama (EM) method for stochastic differential equations...
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A Novel Adaptive Sliding Mode Control of Robot Manipulator Based on RBF Neural Network and Exponential Convergence Observer
This paper focuses on a novel adaptive sliding mode control (NASMC) of robot manipulator based on RBF (radial basis function) neural network and...
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Fuzzy Sliding Mode Trajectory Tracking Control for Omnidirectional Mobile Robots Based on Exponential Convergence Law
The increasing advancements in information technology have led to a growing interest in control research for mobile robot trajectory tracking. A...