Edmond Chow

1. Approximate Inverse Preconditioners via Sparse-Sparse Iterations
   1998/05/01 by Edmond Chow, Yousef Saad · 11 citations
   Computer Science · Engineering · Physics and Astronomy · #Advanced Numerical Methods in Computational Mathematics #Electromagnetic Scattering and Analysis #Matrix Theory and Algorithms
2. SPARC: Simulation Package for Ab-initio Real-space Calculations
   2020/05/21 by Qimen Xu, Abhiraj Sharma, Xu, Qimen +13 · 5 citations
   Chemistry · Materials Science · Physics and Astronomy · #Advanced Chemical Physics Studies #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Zeolite Catalysis and Synthesis
3. Data-driven Construction of Hierarchical Matrices with Nested Bases
   2022/06/04 by Difeng Cai, Hua Huang, Cai, Difeng +5 · 4 citations
   Earth and Planetary Sciences · Physics and Astronomy · #15A23 (Primary) #65D40 (Secondary) #68W25 #Electromagnetic Scattering and Analysis #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Precipitation Measurement and Analysis
4. An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices
   2023/04/11 by Shifan Zhao, Zhao, Shifan, Tianshi Xu +6 · 4 citations
   Chemistry · Computer Science · Physics and Astronomy · #Advanced NMR Techniques and Applications #Electromagnetic Scattering and Analysis #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA)
5. HiGP: A high-performance Python package for Gaussian Process
   2025/03/04 by Hua Huang, Huang Hua, Huang, Hua +6 · 1 voice · 1 citation
   Computer Science · #cs.LG
6. SMASH: Structured matrix approximation by separation and hierarchy
   2017/05/15 by Difeng Cai, Cai, Difeng, Edmond Chow +5 · 2 citations
   Computer Science · Engineering · Physics and Astronomy · #Electromagnetic Scattering and Analysis #Electromagnetic Simulation and Numerical Methods #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA)
7. Posterior Covariance Structures in Gaussian Processes
   2024/08/14 by Difeng Cai, Edmond Chow, Cai, Difeng +3 · 2 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Statistics Theory (math.ST) #Target Tracking and Data Fusion in Sensor Networks