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Strong convergence of Bregman projection method for solving variational inequality problems in reflexive Banach spaces
This paper aims to introduce a new projection method for solving pseudomonotone variational inequality problems in real reflexive Banach spaces. The...
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Cross-points in the Dirichlet-Neumann method I: well-posedness and convergence issues
Cross-points in domain decomposition, i.e., points where more than two subdomains meet, have received substantial attention over the past years,...
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Sharp error estimate of a Grünwald–Letnikov scheme for reaction-subdiffusion equations
The sharp error estimate of a Grünwald–Letnikov (GL) scheme on uniform mesh for reaction-subdiffusion equations with weakly singular solutions is...
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Optimal error estimate of the penalty method for the 2D/3D time-dependent MHD equations
In this article, we mainly consider a first-order decoupling penalty method for the 2D/3D time-dependent incompressible magnetohydrodynamic (MHD)...
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Early discovery of emerging multi-technology convergence for analyzing technology opportunities from patent data: the case of smart health
Technology convergence (TC), in which technological innovation occurs by integrating at least two or more existing technologies into hybrid...
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Weak convergence of Euler scheme for SDEs with low regular drift
In this paper, we investigate the weak convergence rate of Euler-Maruyama’s approximation for stochastic differential equations with low regular...
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Convergence Classifier and Frequency Guess Predictor Based on ANNs
Internet-of-things applications push radio-frequency (RF) integrated circuit (IC) design in deep nanometer technologies. Particularly,...
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Range Functions of Any Convergence Order and Their Amortized Complexity Analysis
We address the fundamental problem of computing range functions for a real function...
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Sources of convergence and divergence in university research quality: evidence from the performance-based research funding system in New Zealand
The introduction of performance-based research funding systems (PBRFS) in many countries has generated new information on their impacts. Recent...
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On semilocal convergence analysis for two-step Newton method under generalized Lipschitz conditions in Banach spaces
In the present paper, we consider the semilocal convergence issue of two-step Newton method for solving nonlinear operator equation in Banach spaces....
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Uniform convergence of optimal order for a finite element method on a Bakhvalov-type mesh for a singularly perturbed convection-diffusion equation with parabolic layers
This paper is to analyze a finite element method of any order on a Bakhvalov-type mesh in the case of 2D. By introducing a new interpolation...
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Genetic programming convergence
We study both genotypic and phenotypic convergence in GP floating point continuous domain symbolic regression over thousands of generations. Subtree...
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Several accelerated subspace minimization conjugate gradient methods based on regularization model and convergence rate analysis for nonconvex problems
In this paper, four accelerated subspace minimization conjugate gradient methods based on 2-regularization or 3-regularization models with different...
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SixthSense: Debugging Convergence Problems in Probabilistic Programs via Program Representation Learning
Probabilistic programming aims to open the power of Bayesian reasoning to software developers and scientists, but identification of problems during...
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Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence
Recently it was shown, using the typical mutation mechanism that is used in evolutionary algorithms, that monotone conjunctions are provably...
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A comprehensive survey of convergence analysis of beetle antennae search algorithm and its applications
In recent years, swarm intelligence optimization algorithms have been proven to have significant effects in solving combinatorial optimization...
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A New Error Estimate for a Primal-Dual Crank-Nicolson Mixed Finite Element Using Lowest Degree Raviart-Thomas Spaces for Parabolic Equations
We consider the heat equation as a model for parabolic equations. We establish a fully discrete scheme based on the use of Primal-Dual Lowest Order...
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The finite steps of convergence of the fast thresholding algorithms with f-feedbacks in compressed sensing
Iterative algorithms based on thresholding, feedback, and null space tuning (NST+HT+FB) for sparse signal recovery are exceedingly effective and...
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Fast Convergence of Random Reshuffling Under Over-Parameterization and the Polyak-Łojasiewicz Condition
Modern machine learning models are often over-parameterized and as a result they can interpolate the training data. Under such a scenario, we study...