Image and signal recovery via a novel alternating golden ratio two-subgradient extragradient method
We introduce and analyze a novel two-subgradient extragradient method (TSEGM) for solving monotone variational inequality problems (VIPs) in real Hilbert spaces.
Habib ur Rehman +3 more
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Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies. [PDF]
Aja-Fernández S +45 more
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The objective of this research is to present a novel approach to enhance the extragradient algorithm’s efficiency for finding an element within a set of fixed points of nonexpansive mapping and the set of solutions for equilibrium problems. Specifically,
Anchalee Sripattanet, Atid Kangtunyakarn
doaj +1 more source
Exchange rates and multicommodity international trade: insights from spatial price equilibrium modeling with policy instruments via variational inequalities. [PDF]
Nagurney A +3 more
europepmc +1 more source
Intelligent prediction models based on machine learning for CO2 capture performance by graphene oxide-based adsorbents. [PDF]
Fathalian F +3 more
europepmc +1 more source
An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function. [PDF]
Boţ RI, Csetnek ER, Sedlmayer M.
europepmc +1 more source
Adsorption Sites on Pd Nanoparticles Unraveled by Machine-Learning Potential with Adaptive Sampling. [PDF]
Tereshchenko A +5 more
europepmc +1 more source
On the Weak Convergence of the Extragradient Method for Solving Pseudo-Monotone Variational Inequalities. [PDF]
Vuong PT.
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Artificial intelligence for diffusion MRI-based tissue microstructure estimation in the human brain: an overview. [PDF]
Faiyaz A +3 more
europepmc +1 more source
Does medication-related osteonecrosis of the jaw affect survival of patients with Multiple Myeloma?: Exploring a large single center database using artificial intelligence. [PDF]
Bittrich M +14 more
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