The Converse to the Fixed Point Theorem of P. A. Smith: II [PDF]
L. E. Jones
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Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park+8 more
wiley +1 more source
Common coupled fixed point theorems satisfying rational type contractive conditions in b-metric spaces. [PDF]
Sarwar M, Hussain S, Kumari PS.
europepmc +1 more source
Fixed point theorems for nonexpansive mappings satisfying certain boundary conditions [PDF]
W. A. Kirk
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UP3: Unsupervised Predictive Path Planner for Mobile Robots in Unknown Environment
In this article, an unsupervised learning‐based predictive path planning framework UP3 for mobile robots is introduced. The framework employs attention‐based path optimization, control barrier functions, and a deep constraint correction module. UP3 allows the robot to use local observation to generate smooth, safe, and collision‐free path points toward
Jianing Luo+4 more
wiley +1 more source
On new common fixed point theorems via bipolar fuzzy b-metric space with their applications. [PDF]
Maheswari JU+5 more
europepmc +1 more source
Fixed point theorems for generalized α -β-weakly contraction mappings in metric spaces and applications. [PDF]
Latif A, Mongkolkeha C, Sintunavarat W.
europepmc +1 more source
A fixed point theorem for nonexpansive mappings in metric space
Yōichi Kijima, Wataru Takahashi
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The Lefschetz Fixed Point Theorem for Noncompact Locally Connected Spaces [PDF]
R. J. Knill
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