Search
Search Results
-
A many-objective evolutionary algorithm with adaptive convergence calculation
Since different reference points are crucial for calculating convergence, we design a many-objective evolutionary algorithm with an adaptive...
-
The Convergence of Incremental Neural Networks
The investigation of neural network convergence represents a pivotal and indispensable area of research, as it plays a crucial role in unraveling the...
-
On the convergence of tracking differentiator with multiple stochastic disturbances
This paper investigates the convergence, noise-tolerance, and filtering performance of a tracking differentiator in the presence of multiple...
-
On the convergence of the numerical blow-up time for a rescaling algorithm
Berger and Kohn (Comm. Pure Appl. Math. 41 , 841–863 1988) proposed an algorithm to compute approximate blow-up times for those evolution equations...
-
Properties and practicability of convergence-guaranteed optimization methods derived from weak discrete gradients
The ordinary differential equation (ODE) models of optimization methods allow for concise proofs of convergence rates through discussions based on...
-
Convergence of adaptive MPC for linear stochastic systems
The convergence of an adaptive model predictive control (MPC) algorithm for discrete-time linear stochastic systems with unknown parameters is...
-
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems
Neural networks have become a prominent approach to solve inverse problems in recent years. While a plethora of such methods was developed to solve...
-
Rates of robust superlinear convergence of preconditioned Krylov methods for elliptic FEM problems
This paper considers the iterative solution of finite element discretizations of second-order elliptic boundary value problems. Mesh independent...
-
Convergence among academic journals in accounting: a note
In this study, we investigate the ranking convergence pattern of 24 accounting journals across 13 established academic journal lists by applying the...
-
Convergence of RBF Networks Regression Function Estimates and Classifiers
In the paper convergence of the RBF network regression estimates and classifiers with so-called regular radial kernels is investigated. The...
-
A Modified Convergence DDPG Algorithm for Robotic Manipulation
Today, robotic arms are widely used in industry. Reinforcement learning algorithms are used frequently for controlling robotic arms in complex...
-
Quasi-3D: reducing convergence effort improves visual comfort of head-mounted stereoscopic displays
The diffusion of virtual reality urges to solve the problem of vergence-accommodation conflict arising when viewing stereoscopic displays, which...
-
On the Routing Convergence Delay in the Lightning Network
Nodes in the Lightning Network synchronise routing information through a gossip protocol that makes use of a staggered broadcast mechanism. In this...
-
Optimal convergence analysis of weak Galerkin finite element methods for parabolic equations with lower regularity
This paper is devoted to investigating the optimal convergence order of a weak Galerkin finite element approximation to a second-order parabolic...
-
A modified EM-type algorithm to estimate semi-parametric mixtures of non-parametric regressions
Semi-parametric Gaussian mixtures of non-parametric regressions (SPGMNRs) are a flexible extension of Gaussian mixtures of linear regressions...
-
On weak convergence of quantile-based empirical likelihood process for ROC curves
The empirical likelihood (EL) method possesses desirable qualities such as automatically determining confidence regions and circumventing the need...
-
On the maximal order of convergence of Green’s function method for solving two-point boundary value problems with deviating argument
The Green’s function method is applied to second, third, and fourth order two-point boundary value problems with deviating argument. At each...
-
An algebraically stabilized method for convection–diffusion–reaction problems with optimal experimental convergence rates on general meshes
Algebraically stabilized finite element discretizations of scalar steady-state convection–diffusion–reaction equations often provide accurate...
-
HalpernSGD: A Halpern-Inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint
This research aims at focusing attention on Halpern iteration, a technique that can be exploited to define optimizers in neural network settings to...
-
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...
