Welcome to SIAM! Applied mathematics, in partnership with computational science, is essential in solving many real-world problems. Our mission is to build cooperation between mathematics and the worlds of science and technology through our publications, research, and community.

New Fellows Announced
The Society for Industrial and Applied Mathematics is pleased to announce the SIAM Fellows Class of 2018. This group includes 28 noteworthy professionals who have made significant contributions to the fields of applied mathematics and computational science. Read more here.

From the Journals

SIAM Journal on Mathematics of Data Science – New!

This SIAM journal will publish work that advances mathematical, statistical, and computational methods in the context of data and information sciences. Authors are encouraged to submit their work when the journal begins to take submissions April 25. See http://www.siam.org/journals/simods.php for updates on the launch of the journal and more information.

M3 Challenge 2018

MathWorks is title sponsor of SIAM’s Popular National Math Modeling Challenge. Judging by more than one hundred SIAM members is taking place now. The final event will take place on April 30 at Jane Street in NYC. Find out more about the Challenge here.
Upcoming Conferences

SIAM Conference on Nonlinear Waves and Coherent Structures (NWCS18)

June 11 – 14, 2018 Orange County, California, USA -- The goals of the conference are to provide a forum for the development of mathematical methods and tools, to foster cross-fertilization among different fields of application, and most crucially to enable communication between the mathematicians who build the theory and the scientists who use it.

SIAM Presents ... a Featured Lecture from our Archives

Carola-Bibiane Schönlieb, University of Cambridge, United Kingdom, spoke at the 2017 SIAM Annual Meeting on Model-Based Learning in Imaging. In this talk the presenter discusses bilevel optimisation, its analysis and numerical treatment, and show applications to regularization learning, learning of noise models and of sampling patterns in MRI. This talk is available online along with more presentations from this conference and other SIAM meetings at SIAM Presents.
Book of Interest

Numerical Methods for Conservation Laws: From Analysis to Algorithms

Author: Jan S. Hesthaven

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