In This Issue
Analysis of biological networks can yield powerful insights into important problems in functional genomics.
Why does deep learning lead to unstable methods, even when we can prove that stable and accurate neural networks exist?
Researchers must balance publishing enough data to verify their conclusions with protecting participant privacy.
The RKFIT method for nonlinear rational approximation is a core algorithm in the MATLAB Rational Krylov Toolbox.
Conferences and Events
Anticipating the 2023 SIAM Conference on Computational Science and Engineering in Amsterdam
CSE23 will facilitate discussions about a variety of large-scale problems in computational science and engineering.
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.
Interviews and Q&As
A Firsthand Look at the Novel Ph.D. Program in Mathematical Modeling at Rochester Institute of Technology
RIT's Ph.D. program in mathematical modeling exposes students to a variety of classes and research experiences.
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.