The finite-difference time-domain (FDTD) method is a widespread numerical tool for full-wave analysis of electromagnetic fields in complex media and for detailed geometries. Applications of the FDTD ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Neural networks suffer from spectral bias and have difficulty representing the high-frequency components of a function, whereas relaxation methods can resolve high frequencies efficiently but stall at ...

Analysis and application of numerical methods for solving large systems of linear equations, which often represent the bottleneck when computing solutions to equations arising in fluid mechanics, ...

The Master's of Professional Studies in Data Sciences and Applications program trains students in analytics, including standard methods in data mining and machine learning, so they will possess the ...

This course will cover advanced topics in the development and analysis of numerical methods for simulation of rigid body motion. Topics will include forward error ...

General aspects of polynomial interpolation theory. Formulations in different basis, e.g. Lagrange, Newton etc. and their approximation and computational properties ...

MicroRNAs (miRNAs) are small, short non-coding RNAs that bind to specific messenger RNAs (mRNAs) and regulate gene expression either by degradation or by translational inhibition of the mRNA. miRNAs ...