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In the United States, May is Asian American and Pacific Islander Heritage Month. As we recognize the importance of Asian American and Pacific Islander mathematicians throughout history and their ...
How to Be Creative: A Practical Guide for the Mathematical Sciences , written by Nicholas J. Higham and Dennis Sherwood, is a how-to guide that gives a six-step process for generating great ideas ...
Hampton, VA, United States
By Roland Glowinski, Yongcun Song, Xiaoming Yuan, and Hangrui YueSIAM Review, Volume 64, Issue 2, Page 392-421, May 2022. We consider the bilinear optimal control of an advection-reaction-diffusion system, where the control arises as the velocity field in...
By Volker H. SchulzSIAM Review, Volume 64, Issue 2, Page 503-513, May 2022. We start this section with Andreas Mang's in-depth featured review on the book Introduction to the Tools of Scientific...
By Axel Kittenberger, Leonidas Mindrinos, and Otmar ScherzerSIAM Review, Volume 64, Issue 2, Page 469-484, May 2022. In this paper, we provide assembly instructions for an easy-to-build experimental setup in order to gain practical experience with...
By Darinka DentchevaSIAM Review, Volume 64, Issue 2, Page 467-467, May 2022. This issue contains two papers in the Education section. The first paper, “Computed Origami Tomography,” is presented by Axel...
By Bernardo Gouveia and Howard A. StoneSIAM Review, Volume 64, Issue 2, Page 485-499, May 2022. In the study of ordinary differential equations (ODEs) of the form $\hat{L}[y(x)]=f(x)$, where $\hat{L}$ is a linear differential operator,...
By František KardošSIAM Review, Volume 64, Issue 2, Page 425-465, May 2022. Fullerene graphs, i.e., 3-connected planar cubic graphs with pentagonal and hexagonal faces, are conjectured to be Hamiltonian. This is...
By Steven L. Brunton, Marko Budišić, Eurika Kaiser, and J. Nathan KutzSIAM Review, Volume 64, Issue 2, Page 229-340, May 2022. The field of dynamical systems is being transformed by the mathematical tools and algorithms emerging from modern computing and...
By Misha E. KilmerSIAM Review, Volume 64, Issue 2, Page 341-342, May 2022. This issue features three Research Spotlight articles. The first of these is entitled “Variance and Covariance of Distributions...
By The EditorsSIAM Review, Volume 64, Issue 2, Page 423-423, May 2022. The SIGEST article in this issue is Hamiltonicity of Cubic Planar Graphs with Bounded Face Sizes, by František Kardoš....
By J. M. Sanz-SernaSIAM Review, Volume 64, Issue 2, Page 227-227, May 2022. Steven L. Brunton, Marko Budišić, Eurika Kaiser, and J. Nathan Kutz are the authors of the Survey and Review...
By Alexander Strang, Karen C. Abbott, and Peter J. ThomasSIAM Review, Volume 64, Issue 2, Page 360-391, May 2022. Competitive tournaments appear in sports, politics, population ecology, and animal behavior. All of these fields have developed methods...
By Karel Devriendt, Samuel Martin-Gutierrez, and Renaud LambiotteSIAM Review, Volume 64, Issue 2, Page 343-359, May 2022. We develop a theory to measure the variance and covariance of probability distributions defined on the nodes of a...
By El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, and Clément W. RoyerSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 507-536, March 2022. Globally convergent variants of the Gauss--Newton algorithm are often the methods of choice to tackle nonlinear...
By Jialei Chen, Zhehui Chen, Chuck Zhang, and C. F. Jeff WuSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 481-506, March 2022. Kriging (or Gaussian process regression) becomes a popular machine learning method for its flexibility and closed-form...
By Charles-Edouard Bréhier and David CohenSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 453-480, March 2022. We analyze a splitting integrator for the time discretization of the Schrödinger equation with nonlocal interaction...
By Sharif Rahman and Ramin JahanbinSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 404-438, March 2022. This study debuts a new spline dimensional decomposition (SDD) for uncertainty quantification analysis of high-dimensional functions,...
By Baptiste Broto, François Bachoc, Laura Clouvel, and Jean-Marc MartinezSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 379-403, March 2022. This paper deals with the estimation of sensitivity indices called “Shapley effects” when the model is...
By Robert Sawko and Małgorzata J. ZimońSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 439-452, March 2022. In this paper, we present a novel approach to compression of two-dimensional Gaussian random fields. We...
By Amy L. Wilson, Michael Goldstein, and Chris J. DentSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 350-378, March 2022. Computer models are widely used to help make decisions about real-world systems. As computer models of...
By Hossein Mohammadi, Peter Challenor, Daniel Williamson, and Marc GoodfellowSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 294-316, March 2022. In many real-world applications, we are interested in approximating black-box, costly functions as accurately as possible...
By Rachel H. Oughton, Michael Goldstein, and John C. P. HemmingsSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 268-293, March 2022. Complex systems are often modeled by intricate and intensive computer simulators. This makes their behavior difficult...
By Fabian Wagner, I. Papaioannou, and E. UllmannSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 317-349, March 2022. We present a novel sampling-based method for estimating probabilities of rare or failure events. Our approach...
By Michael Giles and Oliver Sheridan-MethvenSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 200-226, March 2022. The multilevel Monte Carlo (MLMC) method has been used for a wide variety of stochastic applications....
By Albert Cohen, Wolfgang Dahmen, Olga Mula, and James NicholsSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 227-267, March 2022. State estimation aims at approximately reconstructing the solution $u$ to a parametrized partial differential equation from...
By Randolf Altmeyer, Till Bretschneider, Josef Janák, and Markus ReißSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 179-199, March 2022. As a concrete setting where stochastic partial differential equations (SPDEs) are able to model real phenomena,...
By Teresa Portone and Robert D. MoserSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 151-178, March 2022. This paper defines a novel Bayesian inverse problem to infer an infinite-dimensional uncertain operator appearing in...
By Devin Francom, Bruno Sansó, and Ana KupresaninSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 125-150, March 2022. Many computer models output functional data, and in some cases, these functional data have similar, but...
By John Barr and Herschel RabitzSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 27-54, March 2022. Global sensitivity analysis (GSA) is frequently used to analyze how the uncertainty in input parameters of...
By Hà Quang MinhSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 96-124, March 2022. This work studies finite sample approximations of the exact and entropic regularized Wasserstein distances between centered...
By Louis Sharrock and Nikolas KantasSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 55-95, March 2022. In this paper, we consider the problem of jointly performing online parameter estimation and optimal sensor...
By Saumya Bhatnagar, Won Chang, Seonjin Kim, and Jiali WangSIAM/ASA Journal on Uncertainty Quantification, Volume 10, Issue 1, Page 1-26, March 2022. Computer models play a key role in many scientific and engineering problems. One major source of...
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April is Global Volunteer Month, an occasion to celebrate the dedicated individuals who offer their time in exchange for nothing more than making SIAM (and the world) a better place. We would like ...
Society for Industrial and Applied Mathematics (SIAM) is pleased to announce the inaugural class of MGB-SIAM Early Career (MSEC) Fellows. These distinguished early career professionals were ...
This guide was prepared to provide more information regarding SIAM Conferences being held in hybrid format. Visit the individual conference website and SIAM Hybrid Conference Guidelines & ...
Mengyang Gu is the 2022 recipient of the SIAM Activity Group on Uncertainty Quantification Early Career Prize . The award will be presented at the 2022 SIAM Conference on Uncertainty ...
By Jillian Kunze The available data on human rights violations is often incomplete, as collecting data in conflict settings is a difficult and frequently dangerous process. Datasets may ...
The prize recognizes innovative software in scientific computing by researchers in the earlier stages of their career. Starting in 2019, SIAM will award the prize every four years at the SIAM Conference on Computational Science and Engineering.
SIAM awards the prize with the Association for Computing Machinery (ACM) for outstanding contributions to the development and use of mathematical and computational tools and methods for the solution of science and engineering problems.
This prize was created in 2013 to emphasize George Pólya’s legacy of communicating mathematics effectively. It joins two long-standing Pólya prizes SIAM has awarded in combinatorics and other fields beginning in 1969.
This joint prize was established in 2002 to honor Sonia Kovalevsky and her work on the theory of differential equations. It is awarded to anyone in the scientific or engineering community whose work highlights the achievements of women in applied and computational mathematics. Nominations can be submitted via the AWM website.
The SIAM Student Paper Prize is awarded annually to the student author(s) of the most outstanding paper(s) accepted by SIAM journals within the three years preceding the nomination deadline. Starting with the 2018 award, the focus of the prize is to recognize outstanding scholarship by students in SIAM journals.
Established in 2016, the prize is awarded to an individual in their early career for research contributions in the field of uncertainly quantification.
The prize was established in 1986 in memory of Richard C. DiPrima, who served SIAM for many years and in 1979–1980 as SIAM President. It aims to recognize an early career researcher in applied mathematics and is based on the doctoral dissertation.
Established in 1979 in honor of James H. Wilkinson, the prize is awarded to an individual in their early career for recent contributions to numerical analysis and scientific computing.
The Pioneer Prize is awarded every four years at the International Council for Industrial and Applied Mathematics (ICIAM) Congress to one individual for pioneering work introducing applied mathematical methods and scientific computing techniques to an industrial problem area or a new scientific field of applications. Nominations can be submitted via the ICIAM website.
Through the generosity and inspiration of Gerald and Judith Porter, the Mathematical Association of America (MAA), American Mathematical Society (AMS), and SIAM offer this annual lecture at the Joint Mathematics Meetings. The lecture, first awarded in 2010, is given on a mathematical topic accessible to the broader community.
Named in honor of I. E. Block, a co-founder and the first managing director of SIAM, this lecture is open to the public at the SIAM Annual Meeting. It is intended to encourage public appreciation of applied mathematics and computational science by reaching out to the local community.
Established in 1959, the prize honors John von Neumann, a founder of modern computing. The prize is awarded annually for distinguished contributions to applied mathematics and for the effective communication of these ideas to the community.
The JPBM Communications Award is given annually to reward and encourage communicators who, on a sustained basis, bring mathematical ideas and information to non-mathematical audiences. The prize may be awarded in two categories: For Public Outreach and For Expository and Popular Books. Nominations can be submitted via the AMS website.
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The MAA-SIAM-AMS Hrabowski-Gates-Tapia-McBay (HGTM) Lecture is named after four influential scientists of color: Freeman Hrabowski, President of the University of Maryland at Baltimore County; James S. Gates, University of Maryland, College Park; Richard Tapia, Rice University; and Shirley McBay, Founder and former President of Quality Education for Minorities. This lecture started in 2016 as an activity of the Mathematical Association of America’s Committee on Minority Participation and became a jointly sponsored MAA-SIAM-AMS event in 2018.
The prize recognizes students for outstanding solutions to real world math problems. It is awarded to six of the teams judged "Outstanding" in the Mathematical Contest in Modeling (MCM) administered annually by the Consortium for Mathematics and Its Applications (COMAP). Registration is accepted via the COMAP website.
The SIAM Outstanding Paper Prize is not currently active. For the 20 years before it was discontinued in 2019, the SIAM Outstanding Paper Prizes brought attention to papers published in SIAM journals. Three awards were made each year to the authors of papers deemed by SIAM journal editors-in-chief worthy of particular attention.
The prize, established in 1985 and originally intended to be awarded periodically, is now awarded annually for contributions to the advancement of applied mathematics on the national or international level.
Looking for financial support to further your research? Fellowships often provide funding plus experiential learning opportunities to young researchers. Learn more about fellowship opportunities.
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Internships allow you to network and forge connections for future job possibilities, while also exploring possible areas of interest. Look at this list of companies who offer valuable opportunities.
Our community is founded on igniting groundbreaking developments in applied math and computational science. Take a deeper dive into your area of study with one of these opportunities.