Litcius/Paper detail

An Accurate and Efficient Continuity-Preserved Method Based on Randomized Neural Networks for Elliptic Interface Problems

Jinyong Ying, Jingying Hu, Zuoshunhua Shi, Jiao Li

2024SIAM Journal on Scientific Computing10 citationsDOI

Topics & Concepts

MathematicsArtificial neural networkInterface (matter)Applied mathematicsElliptic curveAlgorithmMathematical analysisCalculus (dental)Computer scienceArtificial intelligenceParallel computingBubbleMedicineMaximum bubble pressure methodDentistryModel Reduction and Neural NetworksAdvanced Numerical Methods in Computational MathematicsNumerical methods in engineering
An Accurate and Efficient Continuity-Preserved Method Based on Randomized Neural Networks for Elliptic Interface Problems | Litcius