50 citations · 50 across the 4 of their papers we have counts for
4 papers
Jacobian-Free Newton-Krylov with a globalization method for solving groundwater flow models of multi-layer aquifer systems
Raghav Singhal, Emin Can Dogrul, Zhaojun Bai
A Jacobian free Newton Krylov (JFNK) method with a globalization scheme is introduced to solve large and complex nonlinear systems of equations that arise in groundwater flow model…
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization
Junhui Shen, Aaron J. Davis, Ding Lu +1
Principal Component Analysis (PCA) is a foundational technique in machine learning for dimensionality reduction of high-dimensional datasets. However, PCA could lead to biased outc…
A Self-Consistent Field Solution for Robust Common Spatial Pattern Analysis
Dong Min Roh, Zhaojun Bai
The common spatial pattern analysis (CSP) is a widely used signal processing technique in brain-computer interface (BCI) systems to increase the signal-to-noise ratio in electroenc…
Principal Component Analysis for Fermionic Critical Points
Natanael C. Costa, Wenjian Hu, Z. J. Bai +2
We use determinant Quantum Monte Carlo (DQMC), in combination with the principal component analysis (PCA) approach to unsupervised learning, to extract information about phase tran…