This is the first workshop in a series of three workshops that will cover spatial modeling of three broad classes of data: (i) spatial point pattern, (ii) discrete spatial variation […]
Please join us for the second annual Single-cell Genomic Data Analytics Symposium. The day long symposium will highlight researchers from U-M and around the world whose work is on the […]
ARC-TS and the Scientific Computing Student Club are hosting a satellite site for XSEDE hands-on workshops during this summer. These workshops provide a convenient way for researchers to learn about the latest techniques and technologies of current interest […]
Geostatistics deals with continuous variation over space and emphasizes the idea of spatial correlation via covariance. It is widely used for spatial interpolation. We will use ArcGIS and R to […]
Low-rank tensor approaches for adaptive function approximation: algorithms and examples In this talk, we present an adaptive method for approximating high-dimensional low-rank functions. Taking advantage of low-rank structure in approximation […]
Data-intensive social science is one of the research focus areas that MIDAS supports with its Challenge Awards. Our long-term goal is to support this research area more broadly, using the […]
Insights into ecology and evolution of microbial populations through single-amino acid variants
Two topics in computational fluid dynamics 1. The Lamb dipole is a steady propagating solution of the inviscid fluid equations with opposite-signed vorticity in a circular disk. We compare finite-difference […]
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who […]
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who […]