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Global convergence of improved Chebyshev-Secant type methods
In this paper, we present the global convergence of improved Chebyshev-Secant type methods (ICSTM) for solving nonlinear Fredholm integral equations...
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Global convergence domains for an efficient fifth order iterative scheme
The present study is devoted to establish the global convergence analysis for an efficient fifth order iterative scheme in Banach space. Auxiliary...
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Driving Global Innovation Convergence: Evidence of 104 Countries’ Productivity and Efficiencies of National Innovation System
The extant evidence considers innovation as one critical determinant of economic growth. The studies on the performance of the National Innovation...
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Club convergence analysis of fossil fuels material footprint at the global level
Material footprint is vital for playing a role in increasing the pace of climate change and the sustainability of development efforts. Fossil fuels...
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Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems
We propose a modified BFGS algorithm for multiobjective optimization problems with global convergence, even in the absence of convexity assumptions...
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On the Global Convergence of Particle Swarm Optimization Methods
In this paper we provide a rigorous convergence analysis for the renowned particle swarm optimization method by using tools from stochastic calculus...
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Global Approximations of Vector Optimization Problems in Terms of Variational Convergence
Global approximations of scalar optimization problems in terms of variational convergence have been studied for several decades. However, there are...
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On global convergence of alternating least squares for tensor approximation
Alternating least squares is a classic, easily implemented, yet widely used method for tensor canonical polyadic approximation. Its subsequential and...
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Global Convergence of a Modified BFGS Method with Simultaneous Correction of Direction and Step Size
The standard BFGS method is a famous quasi-Newton method for solving optimization problems. For convex functions, the study of the convergence of...
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Empirics of convergence in industrialisation and their determinants: global evidence
This study examines the convergence club in industrialisation by using an algorithm developed by Phillips and Sul. We used 183 countries for the...
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A hybrid algorithm of grey wolf optimizer and harris hawks optimization for solving global optimization problems with improved convergence performance
The grey wolf optimizer is an effective and well-known meta-heuristic algorithm, but it also has the weaknesses of insufficient population diversity,...
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MCMC Convergence for Global-Local Shrinkage Priors
Global-local continuous shrinkage priors have emerged as effective and computationally scalable tools for Bayesian sparsity-based regularization in...
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Global convergence of the gradient method for functions definable in o-minimal structures
We consider the gradient method with variable step size for minimizing functions that are definable in o-minimal structures on the real field and...
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Long-term barriers to global fertility convergence
After WWII, the demographic transition exhibited features of convergence between develo** countries and the forerunner countries with low...
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Global linear convergence of evolution strategies with recombination on scaling-invariant functions
Evolution Strategies (ESs) are stochastic derivative-free optimization algorithms whose most prominent representative, the CMA-ES algorithm, is...
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Energy, renewable and technical efficiency convergence: a global evidence
Efficient energy consumption has become a top priority for countries in combating climate change while the contribution of renewable energy in the...
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Global Convergence in Learning Fully-Connected ReLU Networks Via Un-rectifying Based on the Augmented Lagrangian Approach
Most learning algorithms for deep neural networks (DNNs) employ gradient descent or block coordinate descent, which involves the direct application...
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Global convergence in terrestrial gross primary production response to atmospheric vapor pressure deficit
Atmospheric vapor pressure deficit (VPD) increases with climate warming and may limit plant growth. However, gross primary production (GPP) responses...