Search
Search Results
-
Global convergence of model function based Bregman proximal minimization algorithms
Lipschitz continuity of the gradient map** of a continuously differentiable function plays a crucial role in designing various optimization...
-
5. CONVERGENCE AND STABILITY OF ADAPTIVE DUAL CONTROL
The investigations in the field of dual controllers concentrated for many years on the design of various adaptive dual controllers using...
-
ICSOMPA: A novel improved hybrid algorithm for global optimisation
The Marine Predators Algorithm (MPA) is among the recently proposed metaheuristic algorithms (MAs), and it got its inspiration from the ocean...
-
Global convergence of Negative Correlation Extreme Learning Machine
Ensemble approaches introduced in the Extreme Learning Machine literature mainly come from methods that rely on data sampling procedures, under the...
-
Global Zero-Relaxation Limit for a Two-Fluid Euler–Poisson System
We study the relaxation problem for a two-fluid Euler-Poisson system. We prove the global-in-time convergence of the system for smooth solutions near...
-
The exact worst-case convergence rate of the alternating direction method of multipliers
Recently, semidefinite programming performance estimation has been employed as a strong tool for the worst-case performance analysis of first order...
-
Provincial income convergence in Vietnam: spatio-temporal dynamics and conditioning factors
In this article, we use a three-step procedure that combines the log t convergence test, Explanatory Spatial Data Analysis, and ordered logit...
-
Divergent data-driven estimates of global soil respiration
The release of carbon dioxide from the soil to the atmosphere, known as soil respiration, is the second largest terrestrial carbon flux after...
-
Coyote Optimization Algorithm with Linear Convergence for Global Numerical Optimization
In particular, the popularity of computational intelligence has accelerated the study of optimization. Coyote Optimization Algorithm (COA) is a new...
-
Local convergence analysis of L1-ADI scheme for two-dimensional reaction-subdiffusion equation
In this paper, we propose an alternating direction implicit (ADI) difference method to solve the two-dimensional time-fractional...
-
Panarchy theory for convergence
Co** with surprise and uncertainty resulting from the emergence of undesired and unexpected novelty or the sudden reorganization of systems at...
-
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...
-
Environmental sustainability and tourism growth: convergence or compensation?
In addition to the socio-economic advantages, tourism has been proven to be one of the most important sectors with adverse environmental effects....
-
Global convergence towards statistical independence for noisy mixtures of stationary and non-stationary signals
This article deals with the problem of blind separation of statistically independent sources from the instantaneous linear model ( n × n ). When the...
-
Impacts of tropical cyclones on the global water budget
Tropical cyclones (TCs) require substantial amounts of moisture for their genesis and development, acting as important moisture drivers from the...
-
Computational Convergence Rate Analysis of Distributed Optimization Algorithm
Distributed optimization has been widely used in a lot of applications, such as formation control, distributed power systems, and machine learning....
-
Maqasid al-Shariah and Sustainable Development Goals Convergence: An Assessment of Global Best Practices
As much as COVID-19 triggered the global economic downturn, it has also catalyzed sustainable economic development internationally. The growing...
-
Convergence and equilibrium in molecular dynamics simulations
Molecular dynamics is a powerful tool that has been long used for the simulation of biomolecules. It complements experiments, by providing detailed...
-
Communication efficiency optimization of federated learning for computing and network convergence of 6G networks
Federated learning effectively addresses issues such as data privacy by collaborating across participating devices to train global models. However,...
-
Convergence in Journalism: Perspectives and Prospects
The liberalisation, globalisation and privatisation of the market that marked the 1990s, set forth a chain of technological innovations leading to...