Results 161 to 170 of about 4,149,754 (381)
Hybrid algorithm for common solution of monotone inclusion problem and fixed point problem and applications to variational inequalities. [PDF]
Zhang J, Jiang N.
europepmc +1 more source
Examples related to Ulam's fixed point problem
Krystyna Kuperberg+3 more
openalex +2 more sources
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring+2 more
wiley +1 more source
The Split Common Fixed Point Problem for Directed Operators. [PDF]
Censor Y, Segal A.
europepmc +1 more source
A System of Generalized Mixed Equilibrium Problems and Fixed Point Problems for Pseudocontractive Mappings in Hilbert Spaces [PDF]
Poom Kumam, Chaichana Jaiboon
openalex +1 more source
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker+5 more
wiley +1 more source
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong+11 more
wiley +1 more source
Hybrid Viscosity Iterative Method for Fixed Point, Variational Inequality and Equilibrium Problems [PDF]
Yi‐An Chen, Yiping Zhang
openalex +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
A note on well-posed null and fixed point problems
Simeon Reich, Alexander J. Zaslavski
openalex +1 more source