Abstract: In this article, we propose a tractable family of remainder-form mixed-monotone decomposition functions that are useful for overapproximating the image set of nonlinear mappings in ...
Abstract: With the rapid development of modern industry, actual production processes generally have a variety of complex characteristics, including nonlinearity, multimodality, and contamination.
A comprehensive implementation of various Matrix Decomposition Techniques from the lens of Linear Algebra to produce efficient computing of SVD, PCA, Feature Selection & Data Analysis in Python. To ...
The data and code for the paper H. Zhang, L. Liu, K. Weng, & L. Lu. Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity. IEEE ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results