The Daily Pennsylvanian

Penn Math Department announces plan to reorganize upper-level calculus curriculum

The redesigned sequence separates linear algebra and differential equations into more specialized tracks while eliminating ...
University of Bristol

Introduction to Linear and Logistic Regression Models

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...
Santa Clara University

First Course FAQs

All engineering students must take the four quarter Calculus sequence for Science and Engineering Majors, Math 11, 12, 13, and 14. Biochemistry, Chemistry, Computer Science, Mathematics, and Physics ...
IEEE

Spatiotemporal Maps for Dynamic MRI Reconstruction

Abstract: The partially separable functions (PSF) model is commonly adopted in dynamic MRI reconstruction, as is the underlying signal model in many reconstruction methods including the ones relying ...
GitHub

PyRLA: Randomized Linear Algebra in Python

This package implements the most common randomized matrix computation algorithms. "sketch/demo/demo_rft.py": matrix coherence after the randomized Fourier transform ...
GitHub

RandONets - MATLAB Code (J. Comp. Phys). RandONets (Random projection-based Operator Networks) is a MATLAB implementation designed for learning efficiently linear and nonlinear ...

We present a machine learning method based on random projections with Johnson-Lindenstrauss (JL) and/or Rahimi and Recht (2007) Random Fourier Features (RFFN) for efficiently learning linear and ...