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By Jonathan Cockayne and Andrew DuncanSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1643-1672, January 2021. Calibration of large-scale differential equation models to observational or experimental data is a widespread challenge throughout...
By Deyu Ming and Serge GuillasSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1615-1642, January 2021. The state-of-the-art linked Gaussian process offers a way to build analytical emulators for systems of computer...
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Following SIAM’s recent elections, we are pleased to announce our new President-Elect, Vice President-at-Large, and Secretary, as well as Board of Trustees members and Council, as elected by the ...
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The following funding opportunity was shared by Oak Ridge Institute for Science and Education (ORISE) on November 9, 2021. Now accepting applications for: U.S. Department of Homeland ...
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By Raymond BouteSIAM Review, Volume 63, Issue 4, Page 854-864, January 2021. The multivariable chain rule is often challenging to students because it is usually presented with ambiguities and other defects...
By Chris Brimacombe, Robert M. Corless, and Mair ZamirSIAM Review, Volume 63, Issue 4, Page 653-720, January 2021. Mathieu functions of period $\pi$ or $2\pi$, also called elliptic cylinder functions, were introduced in 1868 by Émile Mathieu...
By Christian Clason, Carla Tameling, and Benedikt WirthSIAM Review, Volume 63, Issue 4, Page 783-821, January 2021. We consider a class of infinite-dimensional optimization problems in which a distributed vector-valued variable should pointwise almost everywhere take...
By Gianmarco Mengaldo, David Moxey, Michael Turner, Rodrigo Costa Moura, Ayad Jassim, Mark Taylor, Joaquim Peiró, and Spencer SherwinSIAM Review, Volume 63, Issue 4, Page 723-755, January 2021. We present a successful deployment of high-fidelity large-eddy simulation (LES) technologies based on spectral/$hp$ element methods to industrial flow...
By Holger Dette and Anatoly A. ZhigljavskySIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1589-1614, January 2021. We show that polynomials do not belong to the reproducing kernel Hilbert space of ...
By Arthur E. P. VeldmanSIAM Review, Volume 63, Issue 4, Page 756-779, January 2021. It has been found advantageous for finite-volume discretizations of flow equations to possess additional (secondary) invariants, besides the (primary)...
By Mengjia XuSIAM Review, Volume 63, Issue 4, Page 825-853, January 2021. Graph analytics can lead to better quantitative understanding and control of complex networks, but traditional methods suffer from the...
By Misha E. KilmerSIAM Review, Volume 63, Issue 4, Page 721-721, January 2021. The car-themed cover art on the current issue of SIAM Review is courtesy of the first of two Research...
By Darinka DentchevaSIAM Review, Volume 63, Issue 4, Page 823-823, January 2021. The Education section in this issue presents two papers. The first paper, “Understanding Graph Embedding Methods and Their Applications,”...
By J. M. Sanz-SernaSIAM Review, Volume 63, Issue 4, Page 651-651, January 2021. The Survey and Review paper in this issue, “Computation and Applications of Mathieu Functions: A Historical Perspective,” by Chris...
By Volker H. SchulzSIAM Review, Volume 63, Issue 4, Page 867-875, January 2021. The first half of this section is devoted to books related to data science. The featured review on the...
By The EditorsSIAM Review, Volume 63, Issue 4, Page 781-781, January 2021. The SIGEST article in this issue, which comes from the SIAM Journal on Control and Optimization (SICON), is “Convex...
By Bangti Jin, Zehui Zhou, and Jun ZouSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1553-1588, January 2021. Stochastic gradient descent (SGD) is a promising method for solving large-scale inverse problems due to its...
By Wei Xie, Cheng Li, Yuefeng Wu, and Pu ZhangSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1527-1552, January 2021. When we use simulation to assess the performance of stochastic systems, the input models used to...
By Matthew M. Dunlop and Yunan YangSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1499-1526, January 2021. Recently, the Wasserstein loss function has been proven to be effective when applied to deterministic full-waveform...
By Panagiota Birmpa and Markos A. KatsoulakisSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1457-1498, January 2021. We present an information-based uncertainty quantification method for general Markov random fields (MRFs). MRFs are structured,...
By Elmar Plischke, Giovanni Rabitti, and Emanuele BorgonovoSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1411-1437, January 2021. Shapley effects are attracting increasing attention as sensitivity measures. When the value function is the conditional...
By Mahmood Ettehad and Simon FoucartSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1438-1456, January 2021. When attempting to recover functions from observational data, one naturally seeks to do so in an...
By Xujia Zhu and Bruno SudretSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1345-1380, January 2021. Stochastic simulators are ubiquitous in many fields of applied sciences and engineering. In the context of...
By Peng Chen and Omar GhattasSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 4, Page 1381-1410, January 2021. We propose a fast and scalable optimization method to solve chance or probabilistic constrained optimization problems...
By Dhruv V. Patel and Assad A. OberaiSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1314-1343, January 2021. Machine learning and deep learning algorithms are frequently used in critical tasks where their output is...
By Wei Fang and Mike B. GilesSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1217-1241, January 2021. This paper proposes a new pathwise sensitivity estimator for chaotic SDEs. By introducing a spring term...
By Michal Branicki and Kenneth UdaSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1242-1313, January 2021. We develop a systematic information-theoretic framework for quantification and mitigation of error in probabilistic Lagrangian (i.e.,...
By Alex Bespalov, Dirk Praetorius, and Michele RuggeriSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1184-1216, January 2021. The paper considers a class of parametric elliptic partial differential equations (PDEs), where the coefficients and...
By Valentin Resseguier, Agustin M. Picard, Etienne Memin, and Bertrand ChapronSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1152-1183, January 2021. In this paper, we present a new method to quantify the uncertainty introduced by the drastic...
By Baptiste Broto, François Bachoc, Marine Depecker, and Jean-Marc MartinezSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1132-1151, January 2021. In this paper, we address the estimation of sensitivity indices called “Shapley effects.” These sensitivity indices...
By Deanna C. Easley and Tyrus BerrySIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1094-1131, January 2021. We develop a new approach for estimating the expected values of nonlinear functions applied to multivariate...
By Amy Braverman, Jonathan Hobbs, Joaquim Teixeira, and Michael GunsonSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1064-1093, January 2021. This article sets forth a practical methodology for uncertainty quantification of physical state estimates derived from...
By Christopher Drovandi, David J. Nott, and Daniel E. PagendamSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1034-1063, January 2021. The aim of the history matching method is to locate nonimplausible regions of the parameter space...
By Shreya Menon and John W. CainSIAM Review, Volume 63, Issue 3, Page 625-637, January 2021. For students in applied mathematics courses, the phenomenon of delay-induced stability and instability offers exciting educational opportunities. Exploration...
By Matthew Colbrook, Andrew Horning, and Alex TownsendSIAM Review, Volume 63, Issue 3, Page 489-524, January 2021. Using the resolvent operator, we develop an algorithm for computing smoothed approximations of spectral measures associated with self-adjoint operators....
By R. Ryan WilliamsSIAM Review, Volume 63, Issue 3, Page 559-582, January 2021. We present a randomized method for computing the min-plus product (a.k.a. tropical product) of two $n \times n$...
By Emil CătinaşSIAM Review, Volume 63, Issue 3, Page 585-624, January 2021. The high speed of $x_{k}\rightarrow x^\ast\in{\mathbb R}$ is usually measured using the $C$-, $Q$-, or $R$-orders: \[ łim \tfrac...
By Sarafa A. Iyaniwura, Tony Wong, Colin B. Macdonald, and Michael J. WardSIAM Review, Volume 63, Issue 3, Page 525-555, January 2021. The determination of the mean first passage time (MFPT) for a Brownian particle in a bounded 2-D domain containing...
By Leo Torres, Ann S. Blevins, Danielle Bassett, and Tina Eliassi-RadSIAM Review, Volume 63, Issue 3, Page 435-485, January 2021. Complex systems, composed at the most basic level of units and their interactions, describe phenomena in a wide variety...
By Misha E. KilmerSIAM Review, Volume 63, Issue 3, Page 487-487, January 2021. The first of our two Research Spotlights articles in this issue gives a general framework and corresponding algorithm for...
By The EditorsSIAM Review, Volume 63, Issue 3, Page 557-557, January 2021. The SIGEST article in this issue is “From Circuit Complexity to Faster All-Pairs Shortest Paths,” by R. Ryan Williams....
By Darinka DentchevaSIAM Review, Volume 63, Issue 3, Page 583-583, January 2021. The Education section in this issue contains two papers. The first paper, “How Many Steps Still Left to ${x}^*$?,”...
By J. M. Sanz-SernaSIAM Review, Volume 63, Issue 3, Page 433-433, January 2021. Our Survey and Review paper, “The Why, How, and When of Representations for Complex Systems,” by Leo Torres, Ann...
By Volker H. SchulzSIAM Review, Volume 63, Issue 3, Page 641-650, January 2021. The majority of books in this issue are devoted to modeling in one form or another. The featured review...
By Zhaopeng Hao and Zhongqiang ZhangSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 1013-1033, January 2021. We study numerical approximation for one-dimensional stochastic elliptic equations with integral fractional Laplacian and the additive...
By Matthieu Martin and Fabio NobileSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 979-1012, January 2021. We consider an optimal control problem (OCP) for a partial differential equation (PDE) with random coefficients....
By Daniel Schaden and Elisabeth UllmannSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 3, Page 953-978, January 2021. We study the computational complexity and variance of multilevel best linear unbiased estimators introduced in [D....
By Baasansuren Jadamba, Akhtar A. Khan, Miguel Sama, Hans-Jorg Starkloff, and Christiane TammerSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 922-952, January 2021. The primary objective of this work is to study the inverse problem of identifying a stochastic...
By Jean-Claude Fort, Thierry Klein, and Agnès LagnouxSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 880-921, January 2021. Sensitivity indices are commonly used to quantify the relative influence of any specific group of input...
By Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk, and Daniel StraubSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 818-847, January 2021. The estimation of rare event or failure probabilities in high dimensions is of interest in many...
By Ana DjurdjevacSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 848-879, January 2021. We consider linear parabolic equations on a random noncylindrical domain. Utilizing the domain mapping method, we...
By Thomas P. Prescott and Ruth E. BakerSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 788-817, January 2021. Multifidelity approximate Bayesian computation (MF-ABC) is a likelihood-free technique for parameter inference that exploits model approximations...
By Neil K. Chada, Jordan Franks, Ajay Jasra, Kody J. Law, and Matti ViholaSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 763-787, January 2021. We develop a Bayesian inference method for diffusions observed discretely and with noise, which is free...
By Vishwas Rao and Mihai AnitescuSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 731-762, January 2021. We develop a novel computational method for evaluating the extreme excursion probabilities arising from random initialization...
By Art B. Owen and Christopher HoytSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 708-730, January 2021. The mean dimension of a black box function of $d$ variables is a convenient way to...
By María Magdalena Lucini, Peter Jan van Leeuwen, and Manuel PulidoSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 681-707, January 2021. Model error covariances play a central role in the performance of data assimilation methods applied to...
By Antoine Blanchard and Themistoklis SapsisSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 564-592, January 2021. We introduce a class of acquisition functions for sample selection that lead to faster convergence in...
By Nora Lüthen, Stefano Marelli, and Bruno SudretSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 593-649, January 2021. Sparse polynomial chaos expansions (PCE) are a popular surrogate modelling method that takes advantage of the...
By Jingwei Hu, Lorenzo Pareschi, and Yubo WangSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 650-680, January 2021. We propose a control variate multilevel Monte Carlo method for the kinetic Bhatnagar--Gross--Krook model of the...
By Weifeng Zhao, Juntao Huang, and Wen-An YongSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 536-563, January 2021. In this paper, we propose a lattice Boltzmann method (LBM) for stochastic convection-diffusion equations (CDEs). The...
By Volker H. SchulzSIAM Review, Volume 63, Issue 2, Page 419-431, January 2021. The April issue of SIAM News sadly reported on the death of Bob O'Malley (https://sinews.siam.org/Details-Page/obituary-robert-e-omalley-jr). He led the Book...
By The EditorsSIAM Review, Volume 63, Issue 2, Page 373-373, January 2021. The SIGEST article in this issue is “A General Framework for Fractional Order Compartment Models,” by Christopher N. Angstmann,...
By J. M. Sanz-SernaSIAM Review, Volume 63, Issue 2, Page 247-247, January 2021. ``Stochastic Control Liaisons: Richard Sinkhorn Meets Gaspard Monge on a Schrödinger Bridge,” by Yongxin Chen, Tryphon T. Georgiou, and...
By Darinka DentchevaSIAM Review, Volume 63, Issue 2, Page 393-393, January 2021. This issue of SIAM Review presents two papers in the Education section. The first paper, “Rotations in Three Dimensions,”...
By Misha E. KilmerSIAM Review, Volume 63, Issue 2, Page 315-315, January 2021. Under what conditions does a semilinear parabolic equation have the maximum bound principle, and do numerical approximations of it...
By Christopher N. Angstmann, Austen M. Erickson, Bruce I. Henry, Anna V. McGann, John M. Murray, and James A. NicholsSIAM Review, Volume 63, Issue 2, Page 375-392, January 2021. Compartment models are a widely used class of models that are useful when considering the flow of objects, ...
By Art B. Owen and Daniel RudolfSIAM Review, Volume 63, Issue 2, Page 360-372, January 2021. This article provides a strong law of large numbers for integration on digital nets randomized by a nested uniform...
By Qiang Du, Lili Ju, Xiao Li, and Zhonghua QiaoSIAM Review, Volume 63, Issue 2, Page 317-359, January 2021. The ubiquity of semilinear parabolic equations is clear from their numerous applications ranging from physics and biology to materials...
By Milton F. MaritzSIAM Review, Volume 63, Issue 2, Page 395-404, January 2021. The Rodrigues formula for the $3\times 3$ rotation matrix is hardly ever derived from first principles in a simple...
By Yongxin Chen, Tryphon T. Georgiou, and Michele PavonSIAM Review, Volume 63, Issue 2, Page 249-313, January 2021. In 1931--1932, Erwin Schrödinger studied a hot gas Gedankenexperiment (an instance of large deviations of the empirical distribution). Schrödinger's...
By Pablo D. Brubeck, Yuji Nakatsukasa, and Lloyd N. TrefethenSIAM Review, Volume 63, Issue 2, Page 405-415, January 2021. Vandermonde matrices are exponentially ill-conditioned, rendering the familiar “polyval(polyfit)” algorithm for polynomial interpolation and least-squares fitting ineffective at higher...
By Wenbo Sun, Matthew Plumlee, Jingwen Hu, and Jionghua (Judy) JinSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 483-506, January 2021. Computer simulations of physical systems are commonly used to improve system performance via optimizing the system...
By Denis Belomestny, Leonid Iosipoi, Eric Moulines, Alexey Naumov, and Sergey SamsonovSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 507-535, January 2021. In this paper we propose a novel and practical variance reduction approach for additive...
By Sebastian Reich and Simon WeissmannSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 446-482, January 2021. Bayesian inference can be embedded into an appropriately defined dynamics in the space of probability...
By Henning Omre and Kjartan RimstadSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 420-445, January 2021. We study conjugate prior models in Bayesian spatial inversion. The spatial Kriging model may be phrased...
By Viet Ha Hoang, Jia Hao Quek, and Christoph SchwabSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 384-419, January 2021. We analyze the convergence of a multilevel Markov chain Monte Carlo (MLMCMC) algorithm for the Bayesian...
By Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, and Ian H. SloanSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 354-383, January 2021. We study an optimal control problem under uncertainty, where the target function is the solution of...
By Qian Xiao, Abhyuday Mandal, C. Devon Lin, and Xinwei DengSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 2, Page 333-353, January 2021. Computer experiments with both quantitative and qualitative inputs are commonly used in science and engineering applications....
By Takeru Matsuda and Yuto MiyatakeSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 302-331, January 2021. We consider parameter estimation of ordinary differential equation (ODE) models from noisy observations. For this problem,...
By Amal Ben Abdellah, Pierre L'Ecuyer, Art B. Owen, and Florian PuchhammerSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 280-301, January 2021. We consider the problem of estimating the density of a random variable $X$ that can be...
By Wenyu Li, Arun Hegde, James Oreluk, Andrew Packard, and Michael FrenklachSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 231-259, January 2021. We extend the existing methodology in bound-to-bound data collaboration (B2BDC), an optimization-based deterministic uncertainty quantification (UQ)...
By Michael Sinsbeck, Emily Cooke, and Wolfgang NowakSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 260-279, January 2021. Given a set of competing models of some phenomenon together with measurement data, Bayesian model selection...
By Amine Hadji and Botond SzabóSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 185-230, January 2021. We investigate the frequentist coverage properties of credible sets resulting from Gaussian process priors with squared...
By Lu Lu, Xuhui Meng, Zhiping Mao, and George Em KarniadakisSIAM Review, Volume 63, Issue 1, Page 208-228, January 2021. Deep learning has achieved remarkable success in diverse applications; however, its use in solving partial differential equations (PDEs) has...
By Nicholas A. BattistaSIAM Review, Volume 63, Issue 1, Page 181-207, January 2021. While students may find spline interpolation quite digestible based on their familiarity with the continuity of a function and...
By Bengt FornbergSIAM Review, Volume 63, Issue 1, Page 167-180, January 2021. The trapezoidal rule uses function values at equispaced nodes. It is very accurate for integrals over periodic intervals, but...
By Michelle Feng and Mason A. PorterSIAM Review, Volume 63, Issue 1, Page 67-99, January 2021. A crucial step in the analysis of persistent homology is the transformation of data into an appropriate topological object...
By Juan Kuntz, Philipp Thomas, Guy-Bart Stan, and Mauricio BarahonaSIAM Review, Volume 63, Issue 1, Page 3-64, January 2021. Computing the stationary distributions of a continuous-time Markov chain (CTMC) involves solving a set of linear equations. In most...
By Nour Riman, Jonathan D. Victor, Sebastian D. Boie, and Bard ErmentroutSIAM Review, Volume 63, Issue 1, Page 100-120, January 2021. Animals use stereo sampling of odor concentration to localize sources and follow odor trails. We analyze the dynamics of...
By Xavier Allamigeon, Pascal Benchimol, Stéphane Gaubert, and Michael JoswigSIAM Review, Volume 63, Issue 1, Page 123-164, January 2021. Tropical geometry has been recently used to obtain new complexity results in convex optimization and game theory. In this...
By Misha E. KilmerSIAM Review, Volume 63, Issue 1, Page 65-65, January 2021. We have two Research Spotlights papers in the lineup this issue. The first of these, “Persistent Homology of...
By Darinka DentchevaSIAM Review, Volume 63, Issue 1, Page 165-166, January 2021. This issue of SIAM Review presents three papers in the Education section. The first paper, “Improving the Accuracy of...
By J. M. Sanz-SernaSIAM Review, Volume 63, Issue 1, Page 1-1, January 2021. The use of probabilistic ideas by applied mathematicians has seen a continued increase in recent decades. Probability now...
By The EditorsSIAM Review, Volume 63, Issue 1, Page 121-121, January 2021. The SIGEST article in this issue is “What Tropical Geometry Tells Us about the Complexity of Linear Programming,” by...
By Volker H. SchulzSIAM Review, Volume 63, Issue 1, Page 231-245, January 2021. The section opens with a review well written by a giant in the field of numerical solution of partial...
By Alen Alexanderian, Noemi Petra, Georg Stadler, and Isaac SunseriSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 163-184, January 2021. We consider optimal design of infinite-dimensional Bayesian linear inverse problems governed by partial differential equations that...
By Matthew Dobson, Yao Li, and Jiayu ZhaiSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 135-162, January 2021. A probabilistic approach to estimating sample qualities of stochastic differential equations is introduced in this paper....
By M. Ganesh, Frances Y. Kuo, and Ian H. SloanSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 106-134, January 2021. We propose and analyze a quasi-Monte Carlo (QMC) algorithm for efficient simulation of wave propagation modeled...
By Ujjwal Koley, Deep Ray, and Tanmay SarkarSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 65-105, January 2021. We establish a notion of random entropy solution for degenerate fractional conservation laws incorporating randomness in...
By Johnathan M. Bardsley and Tiangang CuiSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 29-64, January 2021. In many hierarchical inverse problems, not only do we want to estimate high- or infinite-dimensional model...
By Shuai Lu, Pingping Niu, and Frank WernerSIAM/ASA Journal on Uncertainty Quantification, Volume 9, Issue 1, Page 1-28, January 2021. We interpret steady linear statistical inverse problems as artificial dynamic systems with white noise and introduce...
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Applications are now open for the MGB-SIAM Early Career (MSEC) Fellowship . The MSEC Fellowship recognizes the achievements of early career applied mathematicians – particularly those belonging to ...
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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.
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.
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 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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