By Konstantin Häberle, Barbara Bravi, and Anthea MonodSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 2, Page 347-376, June 2024. Abstract. Persistent homology is a central methodology in topological data analysis that has been successfully implemented...
By Daniela Calvetti and Annalisa Quaini People tend to feel more welcome and comfortable in settings with individuals who resemble them in some capacity, including (but not limited to) ...
By Rafael Ballester-RipollSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 2, Page 289-308, June 2024. Abstract. We present an algorithm for estimating higher-order statistical moments of multidimensional functions expressed as polynomial...
By Carsten Hartmann and Lorenz RichterSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 2, Page 309-346, June 2024. Abstract. Importance sampling is a popular variance reduction method for Monte Carlo estimation, where an evident...
...
By Grigorios A. Pavliotis and Andrea ZanoniSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 2, Page 262-288, June 2024. Abstract.We study the problem of learning unknown parameters in stochastic interacting particle systems with polynomial drift,...
By Jacob Curran-Sebastian, Lorenzo Pellis, Ian Hall, and Thomas HouseSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 2, Page 242-261, June 2024. Abstract. Understanding the timing of the peak of a disease outbreak forms an important part of...
By Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, and Akil NarayanSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 2, Page 213-241, June 2024. Abstract.Least squares regression is a ubiquitous tool for building emulators (a.k.a. surrogate models) of problems across science and...
April is National Volunteer Month, an occasion to celebrate the dedicated individuals who selflessly offer their time and energy to make SIAM (and the world) a better place. We would like to ...
By M. Ganesh, Frances Y. Kuo, and Ian H. SloanSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 1, Page 212-212, March 2024. Abstract.
Moscow, ID, United States
By Ningxin Liu and Lijian JiangSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 1, Page 182-211, March 2024. Abstract.Filtering problems are derived from a sequential minimization of a quadratic function representing a compromise between the...
Are you a student or an early career SIAM member, 35 years old or younger, and have you made a charitable gift to SIAM in 2024? If so, you can now join Young Friends of SIAM! We ...
By Chih-Li Sung, Yi (Irene) Ji, Simon Mak, Wenjia Wang, and Tao TangSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 1, Page 157-181, March 2024. Abstract. In an era where scientific experiments can be very costly, multifidelity emulators provide a useful...
By Guillaume Chennetier, Hassane Chraibi, Anne Dutfoy, and Josselin GarnierSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 1, Page 128-156, March 2024. Abstract. Piecewise deterministic Markov processes (PDMPs) can be used to model complex dynamical industrial systems. The...
March is Women's History Month, and to celebrate, SIAM is featuring women within our community for their contributions to the applied mathematics and computational science field. Read the ...
It is with deepest gratitude that we acknowledge the generous donors who supported SIAM in 2023. Many of SIAM's awards and honors, such as the recently established SIAM Activity Group on ...
By Xianliang Gong and Yulin PanSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 1, Page 101-127, March 2024. Abstract. In this work, we develop a multifidelity Bayesian experimental design framework to efficiently quantify the...
By Bjørn Fredrik Nielsen and Zdeněk StrakošSIAM Review, Volume 66, Issue 1, Page 125-146, February 2024. We analyze the spectrum of the operator $\Delta^{-1} [\nabla \cdot (K\nabla u)]$ subject to homogeneous Dirichlet or Neumann boundary...
By Anita T. LaytonSIAM Review, Volume 66, Issue 1, Page 193-201, February 2024. If you are keen to understand the world around us by developing mathematical or data-driven models, or if you...
By Eva-Maria Walz, Alexander Henzi, Johanna Ziegel, and Tilmann GneitingSIAM Review, Volume 66, Issue 1, Page 91-122, February 2024. How can we quantify uncertainty if our favorite computational tool---be it a numerical, statistical, or machine learning...
By Helene FrankowskaSIAM Review, Volume 66, Issue 1, Page 147-147, February 2024. In this issue the Education section presents two contributions. The first paper, “Resonantly Forced ODEs and Repeated Roots,”...
By Gabriel R. Barrenechea, Volker John, and Petr KnoblochSIAM Review, Volume 66, Issue 1, Page 3-88, February 2024. Convection-diffusion-reaction equations model the conservation of scalar quantities. From the analytic point of view, solutions of these equations satisfy,...
By Zongren Zou, Xuhui Meng, Apostolos F. Psaros, and George E. KarniadakisSIAM Review, Volume 66, Issue 1, Page 161-190, February 2024. Uncertainty quantification (UQ) in machine learning is currently drawing increasing research interest, driven by the rapid deployment of deep...
By Jed A. DuerschSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 1, Page 69-100, March 2024. Abstract. Variational inference is an approximation framework for Bayesian inference that seeks to improve quantified uncertainty...
By Stefan M. WildSIAM Review, Volume 66, Issue 1, Page 89-89, February 2024. As modeling, simulation, and data-driven capabilities continue to advance and be adopted for an ever expanding set of applications...
By Allan R. WillmsSIAM Review, Volume 66, Issue 1, Page 149-160, February 2024. In a recent article in this journal, Gouveia and Stone [``Generating Resonant and Repeated Root Solutions to Ordinary Differential...
By The EditorsSIAM Review, Volume 66, Issue 1, Page 123-123, February 2024. The SIGEST article in this issue is “A Simple Formula for the Generalized Spectrum of Second Order Self-Adjoint Differential...
By Marlis HochbruckSIAM Review, Volume 66, Issue 1, Page 1-1, February 2024. Numerical methods for partial differential equations can only be successful if their numerical solutions reflect fundamental properties of the...
By Daniel Sanz-Alonso and Nathan WaniorekSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 1, Page 30-68, March 2024. Abstract. This paper analyzes a popular computational framework for solving infinite-dimensional Bayesian inverse problems, discretizing the...
By Zhizhang Wu, Zhiwen Zhang, and Xiaofei ZhaoSIAM/ASA Journal on Uncertainty Quantification, Volume 12, Issue 1, Page 1-29, March 2024. Abstract. In this paper, we consider the numerical solution of a nonlinear Schrödinger equation with spatial...
SIAM is excited to announce the 2024 Class of MGB-SIAM Early Career Fellows. These accomplished early career professionals were chosen based on their achievements; active support of diversity, ...
To celebrate Black History Month, SIAM is featuring Dr. Nandi Leslie, a prominent Black applied mathematician from our community. We encourage you to take a moment to read through this spotlight, ...
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.
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.
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.
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.
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.
~*Learn More*~
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.
Read More
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.