By Toni Karvonen, George Wynne, Filip Tronarp, Chris Oates, and Simo SärkkäSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 3, Page 926-958, January 2020. Despite the ubiquity of the Gaussian process regression model, few theoretical results are available that account...
By Matthias H. Y. TanSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 3, Page 891-925, January 2020. Design of systems based on computer simulations is prevalent. An important idea to improve design quality,...
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By Kevin Bulthuis, Frank Pattyn, and Maarten ArnstSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 3, Page 860-890, January 2020. In this paper, we address uncertainty quantification of physics-based computational models when the quantity of interest...
By Arpan Mukherjee, Rahul Rai, Puneet Singla, Tarunraj Singh, and Abani PatraSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 3, Page 827-859, January 2020. Forward propagation of uncertainty in physics-based model is nontrivial and a necessary undertaking. This paper provides...
By Gerardo Severino and Salvatore CuomoSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 807-825, January 2020. We consider an unsteady flow generated by a line-source within a geological formation where, owing to...
By Jürgen DölzSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 748-774, January 2020. We consider time-harmonic electromagnetic scattering problems on perfectly conducting scatterers with uncertain shape. Thus, the scattered...
By Olivier Roustant, Espéran Padonou, Yves Deville, Aloïs Clément, Guillaume Perrin, Jean Giorla, and Henry WynnSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 775-806, January 2020. Gaussian processes (GPs) are widely used as a metamodel for emulating time-consuming computer codes. We focus...
By Ying-Chao Hung, George Michailidis, and Horace PakHai LokSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 717-747, January 2020. Identification of input configurations so as to meet a prespecified output target under a limited experimental...
By Baptiste Broto, François Bachoc, and Marine DepeckerSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 693-716, January 2020. The Shapley effects are global sensitivity indices: they quantify the impact of each input variable on...
By Ling Guo, Akil Narayan, and Tao ZhouSIAM Review, Volume 62, Issue 2, Page 483-508, January 2020. Polynomial approximations constructed using a least-squares approach form a ubiquitous technique in numerical computation. One of the simplest ways...
By Lloyd N. TrefethenSIAM Review, Volume 62, Issue 2, Page 439-462, January 2020. Boundary-value problems involving the linear differential equation $\varepsilon y'' - x y' + y = 0$ have surprising properties...
By Yair Carmon and John C. DuchiSIAM Review, Volume 62, Issue 2, Page 395-436, January 2020. We consider minimization of indefinite quadratics with either trust-region (norm) constraints or cubic regularization. Despite the nonconvexity of these...
By Anne Greenbaum, Ren-Cang Li, and Michael L. OvertonSIAM Review, Volume 62, Issue 2, Page 463-482, January 2020. We present first-order perturbation analysis of a simple eigenvalue and the corresponding right and left eigenvectors of a general...
By Philipp Grohs, Sarah Koppensteiner, and Martin RathmairSIAM Review, Volume 62, Issue 2, Page 301-350, January 2020. The problem of phase retrieval, i.e., the problem of recovering a function from the magnitudes of its Fourier...
By Michael T. Schaub, Austin R. Benson, Paul Horn, Gabor Lippner, and Ali JadbabaieSIAM Review, Volume 62, Issue 2, Page 353-391, January 2020. Using graphs to model pairwise relationships between entities is a ubiquitous framework for studying complex systems and data. Simplicial...
By Volker H. SchulzSIAM Review, Volume 62, Issue 2, Page 511-526, January 2020. I am writing these lines in April 2020 while science is in lockdown mode globally. They will be published...
By The EditorsSIAM Review, Volume 62, Issue 2, Page 393-393, January 2020. The SIGEST article in this issue, “First-Order Methods for Nonconvex Quadratic Minimization,” by Yair Carmon and John C. Duchi,...
By Misha E. KilmerSIAM Review, Volume 62, Issue 2, Page 351-351, January 2020. The current issue of SIAM Review features the Research Spotlights article “Random Walks on Simplicial Complexes and the Normalized...
By Darinka DentchevaSIAM Review, Volume 62, Issue 2, Page 437-438, January 2020. The Education section of SIAM Review presents three papers in this issue. In the first paper Lloyd N. Trefethen...
By J. M. Sanz-SernaSIAM Review, Volume 62, Issue 2, Page 299-299, January 2020. In a previous issue of SIAM Review, I started my introduction to the Survey and Review section by saying...
By Matthias Heinkenschloss, Boris Kramer, and Timur TakhtaganovSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 668-692, January 2020. This paper shows how to systematically and efficiently improve a reduced-order model (ROM) to obtain...
By Kui Ren and Sarah VallélianSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 636-667, January 2020. This work is concerned with uncertainty quantification problems for image reconstructions in quantitative photoacoustic imaging (PAT),...
By Daniel Schaden and Elisabeth UllmannSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 601-635, January 2020. We present a general variance reduction technique for the estimation of the expectation of a scalar-valued...
By Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, and Gowri SrinivasanSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 573-600, January 2020. Fractures form the main pathways for flow of fluids and transport of constituents carried by these...
By Jeremiah Birrell and Luc Rey-BelletSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 539-572, January 2020. Information-theory based variational principles have proven effective at providing scalable uncertainty quantification (i.e., robustness) bounds for...
By P. HéasSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 2, Page 511-538, January 2020. This paper deals with the estimation of rare event probabilities using importance sampling (IS), where an...
By Dan Crisan, Alberto López-Yela, and Joaquin MiguezSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 483-509, January 2020. A stable filter has the property that it asymptotically “forgets" initial perturbations. As a result...
By Jonas LatzSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 451-482, January 2020. The subject of this article is the introduction of a new concept of the well-posedness of...
By Assyr Abdulle and Andrea Di BlasioSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 414-450, January 2020. A new strategy based on numerical homogenization and Bayesian techniques for solving multiscale inverse problems is...
By Richard Nickl, Sara van de Geer, and Sven WangSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 374-413, January 2020. We consider PDE constrained nonparametric regression problems in which the parameter $f$ is the unknown coefficient...
By Matteo Giordano and Hanne KekkonenSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 342-373, January 2020. We consider the statistical inverse problem of recovering an unknown function $f$ from a linear measurement...
By Ruben Aylwin, Carlos Jerez-Hanckes, Christoph Schwab, and Jakob ZechSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 301-341, January 2020. We study the numerical approximation of time-harmonic, electromagnetic fields inside a lossy cavity of uncertain geometry....
By Volker H. SchulzSIAM Review, Volume 62, Issue 1, Page 283-297, January 2020. The frame for the Book Reviews section this time is formed by the books of two very well known...
By The EditorsSIAM Review, Volume 62, Issue 1, Page 197-197, January 2020. The SIGEST article in this issue, “Asymptotically Compatible Schemes for Robust Discretization of Parametrized Problems with Applications to Nonlocal...
By Misha E. KilmerSIAM Review, Volume 62, Issue 1, Page 131-131, January 2020. Tensors, or multiway arrays, are often used for storage of high-dimensional data. In order to have compression, completion,...
By J. M. Sanz-SernaSIAM Review, Volume 62, Issue 1, Page 1-1, January 2020. Bernard Brogliato and Aneel Tanwani are the authors of “Dynamical Systems Coupled with Monotone Set-Valued Operators: Formalisms, Applications, Well-Posedness,...
By Darinka DentchevaSIAM Review, Volume 62, Issue 1, Page 229-230, January 2020. The Education section of SIAM Review presents three papers in this issue. In the first paper Robert M. Corless...
By Xiaochuan Tian and Qiang DuSIAM Review, Volume 62, Issue 1, Page 199-227, January 2020. Many problems in nature, being characterized by a parameter, are of interest both with a fixed parameter value...
By Bernard Brogliato and Aneel TanwaniSIAM Review, Volume 62, Issue 1, Page 3-129, January 2020. This survey article addresses the class of continuous-time systems where a system modeled by ordinary differential equations is...
By David Hong, Tamara G. Kolda, and Jed A. DuerschSIAM Review, Volume 62, Issue 1, Page 133-163, January 2020. Tensor decomposition is a fundamental unsupervised machine learning method in data science, with applications including network analysis and sensor...
By Tracy L. Stepien, Eric J. Kostelich, and Yang KuangSIAM Review, Volume 62, Issue 1, Page 244-263, January 2020. Most undergraduates have limited experience with mathematical modeling. In an effort to respond to various initiatives, such as the...
By Antônio Francisco NetoSIAM Review, Volume 62, Issue 1, Page 264-280, January 2020. In this work we introduce a new operator based approach to matrix analysis. Our main technical tool comprises an...
By Nawaf Bou-Rabee and Miranda C. Holmes-CerfonSIAM Review, Volume 62, Issue 1, Page 164-195, January 2020. Sticky Brownian motion is the simplest example of a diffusion process that can spend finite time both in the...
By Robert M. Corless and Leili Rafiee SevyeriSIAM Review, Volume 62, Issue 1, Page 231-243, January 2020. We look at two classical examples in the theory of numerical analysis, namely, the Runge example for interpolation and...
By Anthony Fillion, Marc Bocquet, Serge Gratton, Selime Gürol, and Pavel SakovSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 198-228, January 2020. Ensemble variational methods are being increasingly used in the field of geophysical data assimilation. Their efficiency...
By Adi Ditkowski, Gadi Fibich, and Amir SagivSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 261-300, January 2020. The effect of uncertainties and noise on a quantity of interest (model output) is often better...
By Konstantinos SpiliopoulosSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 229-260, January 2020. The goal of this paper is to explore the basic approximate Bayesian computation (ABC) algorithm via...
By Emil M. Constantinescu, Noémi Petra, Julie Bessac, and Cosmin G. PetraSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 170-197, January 2020. This paper introduces a statistical treatment of inverse problems constrained by models with stochastic terms. The...
By Laurent van den Bos, Benjamin Sanderse, Wim Bierbooms, and Gerard van BusselSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 139-169, January 2020. For the purpose of uncertainty propagation a new quadrature rule technique is proposed that has positive...
By Thomas P. Prescott and Ruth E. BakerSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 114-138, January 2020. A vital stage in the mathematical modeling of real-world systems is to calibrate a model's parameters...
By Marie Kubínová and Ivana PultarováSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 88-113, January 2020. The paper focuses on numerical solution of parametrized diffusion equations with scalar parameter-dependent coefficient function by...
By O. R. Pembery and E. A. SpenceSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 58-87, January 2020. We prove well-posedness results and a priori bounds on the solution of the Helmholtz equation $\nabla\cdot(A\nabla...
By Sharif RahmanSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 27-57, January 2020. A spline chaos expansion, referred to as SCE, is introduced for uncertainty quantification analysis. The...
By Victoria Volodina and Daniel WilliamsonSIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, Page 1-26, January 2020. Weakly stationary Gaussian processes (GPs) are the principal tools in the statistical approaches to the design...
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Update 7/14/20: Today, the Trump Administration rescinded these proposed rules on foreign students studying online, returning to the previous status quo. Thank you to all of the SIAM members who ...
We may not be able to meet in Toronto for this year’s Joint SIAM/CAIMS Annual Meeting (AN20) , but that doesn’t mean we can’t hold the meeting! SIAM and CAIMS are pivoting to virtual with a ...
Have you ever tried to explain the importance of applied math to your friends and family? SIAM has created the ‘Math in our Lives’ video collection to help you do just that! This series of 90-second ...
It's National Volunteer Week! This occasion is an opportunity to celebrate the dedicated individuals who offer their time in exchange for nothing more than making SIAM (and the world) a better ...
Mathematics and statistics play a vital part in everyday life. Mathematical and statistical techniques are used to help solve real-world problems, focusing on topics such as disease spread, ...
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 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 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.
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 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 2016, the prize is awarded to an individual in their early career for research contributions in the field of uncertainly quantification.
The prize recognizes students for outstanding solutions to real world math problems. It is awarded to two 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 Prizes bring attention to papers published in SIAM journals. Three awards are 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.
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.
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.
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.