Why does deep learning lead to unstable methods, even when we can prove that stable and accurate neural networks exist?
Analysis of biological networks can yield powerful insights into important problems in functional genomics.
Researchers must balance publishing enough data to verify their conclusions with protecting participant privacy.
CSE23 will facilitate discussions about a variety of large-scale problems in computational science and engineering.
RIT's Ph.D. program in mathematical modeling exposes students to a variety of classes and research experiences.
The RKFIT method for nonlinear rational approximation is a core algorithm in the MATLAB Rational Krylov Toolbox.
The fiscal year 2022 spending package includes moderate funding increases for multiple agencies that support applied mathematics.
Paul Davis reviews The Man from the Future, a biography of John von Neumann by Ananyo Bhattacharya.
The John von Neumann Prize is one of many connections between SIAM and the esteemed mathematician.
The Pacific Northwest region of North America is home to a thriving applied mathematics community as well as the PNW Section of SIAM.
Mark Levi describes a point that is lost in standard treatments of the Lagrange top.