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.

From the Journals

SIAM Journal on Applied Algebra and Geometry

Authors are encouraged to send their work to SIAM’s newest journal, which will publish research papers on the development of algebraic, geometric, and topological methods with strong connection to applications. SIAGA seeks submissions. Further details are available here.

Gene Golub SIAM Summer School 2017

The 2017 Gene Golub SIAM Summer School will take place at the Akademie Berlin- Schmöckwitz in Germany and will be held in conjunction with the 2017 SIAM Activity Group in Linear Algebra (SIAG/LA) International Summer School on Numerical Linear Algebra. Application deadline is February 1, 2017.
Upcoming Conferences

2017 SIAM International Conference on Data Mining (SDM17)

April 27 – 29, 2017 Houston, Texas USA -- Data mining is the computational process for discovering valuable knowledge from data. It has enormous application in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. The SDM conference provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum.

Moody’s Mega Math Challenge Champ Team is Named

At the recent M3 Challenge Final Event in NYC, the top six teams presented their solutions for issues facing the future of mobility, vying for a piece of $150,000 in scholarship funds. Saint John’s School in Houston, TX, was named as the 2016 Challenge winners for coming up with the soundest mathematical solution to how and where car-sharing companies can flourish in a rapidly-shifting automotive landscape. Learn more about their solution and the day’s events!.
Book of Interest

Automatic Differentiation in MATLAB Using ADMAT with Applications

Authors: Thomas F. Coleman and Wei Xu
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