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Last edited: 3/29/23 March is Women's History Month! SIAM recognizes and honors women in the applied mathematics and computational science field for their contributions and achievements. This ...
By Lina Sorg A cannula is a thin, hollow ...
By Najmeh Hoseini MonjeziSIAM Journal on Optimization, Volume 33, Issue 1, Page 319-337, March 2023. Abstract. We propose a new algorithm for minimizing locally Lipschitz functions that combines both the bundle and...
By Xi Yin ZhengSIAM Journal on Optimization, Volume 33, Issue 1, Page 338-359, March 2023. Abstract. Given a closed convex set [math] in a Banach space [math], motivated by the continuity and...
By Prajakta Bedekar , Anthony J. Kearsley , and Paul N. Patrone The SARS-CoV-2 pandemic demonstrated that the ability to track a disease can affect our lives in numerous ways. For example, ...
By Volker H. SchulzSIAM Review, Volume 65, Issue 1, Page 319-328, February 2023. Our section starts with Rob Kirby's featured review on the book Numerical Methods for Elliptic and Parabolic Partial Differential...
By Daniele Avitabile, Joshua L. Davis, and Kyle WedgwoodSIAM Review, Volume 65, Issue 1, Page 147-182, February 2023. Bump attractors are wandering localized patterns observed in in vivo experiments of spatially extended neurobiological networks. They are important...
By Eunice Y. S. Chan and Robert M. CorlessSIAM Review, Volume 65, Issue 1, Page 261-290, February 2023. The chaos game representation (CGR) is an interesting method to visualize one-dimensional sequences. In this paper, we show how...
By Hélène FrankowskaSIAM Review, Volume 65, Issue 1, Page 259-260, February 2023. In this issue the Education section presents two contributions. The first paper is “Chaos Game Representation” (CGR), written...
By Kimon Fountoulakis, Meng Liu, David F. Gleich, and Michael W. MahoneySIAM Review, Volume 65, Issue 1, Page 59-143, February 2023. Clustering points in a vector space or nodes in a graph is a ubiquitous primitive in statistical data analysis,...
By Martin DonatiSIAM Review, Volume 65, Issue 1, Page 227-257, February 2023. In this paper, we prove that in bounded planar domains with $C^{2,\alpha}$ boundary, for almost every initial condition in...
By Amir Ali Ahmadi and Bachir El KhadirSIAM Review, Volume 65, Issue 1, Page 183-223, February 2023. We present a mathematical and computational framework for learning a dynamical system from noisy observations of a few...
By F. Llorente, L. Martino, D. Delgado, and J. López-SantiagoSIAM Review, Volume 65, Issue 1, Page 3-58, February 2023. This is an up-to-date introduction to, and overview of, marginal likelihood computation for model selection and hypothesis testing. Computing...
By Stefan M. WildSIAM Review, Volume 65, Issue 1, Page 145-145, February 2023. What surprising patterns do fluid dynamics and neurobiological networks have in common? In this issue's first Research Spotlights article,...
By The EditorsSIAM Review, Volume 65, Issue 1, Page 225-225, February 2023. The SIGEST article in this issue, “Improbability of Collisions of Point-Vortices in Bounded Planar Domains,” by Martin Donati, is...
By William A. Clark, Mario W. Gomes, Arnaldo Rodriguez-Gonzalez, Leo C. Stein, and Steven H. StrogatzSIAM Review, Volume 65, Issue 1, Page 291-315, February 2023. We revisit a textbook example of a singularly perturbed nonlinear boundary-value problem. Unexpectedly, it shows a wealth of phenomena...
By Marlis HochbruckSIAM Review, Volume 65, Issue 1, Page 1-1, February 2023. Marginal likelihood and Bayes factors are key components of the Bayesian analysis used in hypothesis testing and model selection....
By Mengmeng Song, Hongying Liu, Jiulin Wang, and Yong XiaSIAM Journal on Optimization, Volume 33, Issue 1, Page 267-293, March 2023. Abstract. We study nonconvex homogeneous quadratically constrained quadratic optimization with [math] constraints, denoted by (QQm). (QQ2) contains...
By Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, and Claire TomlinSIAM Journal on Optimization, Volume 33, Issue 1, Page 294-318, March 2023. Abstract. We present the concept of a generalized feedback Nash equilibrium (GFNE) in dynamic games, extending the...
By Harbir Antil, Drew P. Kouri, and Denis RidzalSIAM Journal on Optimization, Volume 33, Issue 1, Page 237-266, March 2023. Abstract. We present a new algorithm for infinite-dimensional optimization with general constraints, called ALESQP. In short, ALESQP...
By Giacomo Borghi, Michael Herty, and Lorenzo PareschiSIAM Journal on Optimization, Volume 33, Issue 1, Page 211-236, March 2023. Abstract. In this work we are interested in the construction of numerical methods for high-dimensional constrained nonlinear...
By Weiwei Kong, Jefferson G. Melo, and Renato D. C. MonteiroSIAM Journal on Optimization, Volume 33, Issue 1, Page 181-210, March 2023. Abstract. This paper establishes the iteration complexity of an inner accelerated inexact proximal augmented Lagrangian (IAIPAL) method...
By Mingyi Hong, Hoi-To Wai, Zhaoran Wang, and Zhuoran YangSIAM Journal on Optimization, Volume 33, Issue 1, Page 147-180, March 2023. Abstract. This paper analyzes a two-timescale stochastic algorithm framework for bilevel optimization. Bilevel optimization is a class...
By Çağin Ararat, Sіmay Tekgül, and Fіrdevs UlusSIAM Journal on Optimization, Volume 33, Issue 1, Page 116-146, March 2023. Abstract. We study geometric duality for convex vector optimization problems. For a primal problem with a [math]-dimensional...
By Felipe Atenas, Claudia Sagastizábal, Paulo J. S. Silva, and Mikhail SolodovSIAM Journal on Optimization, Volume 33, Issue 1, Page 89-115, March 2023. Abstract. We present a framework for analyzing convergence and local rates of convergence of a class of...
By Victor Magron, Mohab Safey El Din, and Trung-Hieu VuSIAM Journal on Optimization, Volume 33, Issue 1, Page 63-88, March 2023. Abstract. Assessing nonnegativity of multivariate polynomials over the reals, through the computation of certificates of nonnegativity, is...
By Qihang Lin and Yangyang XuSIAM Journal on Optimization, Volume 33, Issue 1, Page 1-35, March 2023. Abstract. We propose a double-loop inexact accelerated proximal gradient (APG) method for a strongly convex composite optimization...
By X. Y. Han and Adrian S. LewisSIAM Journal on Optimization, Volume 33, Issue 1, Page 36-62, March 2023. Abstract. For strongly convex objectives that are smooth, the classical theory of gradient descent ensures linear convergence...
By Marcus Carlsson, Daniele Gerosa, and Carl OlssonSIAM Journal on Optimization, Volume 32, Issue 4, Page 2969-2996, December 2022. Low rank recovery problems have been a subject of intense study in recent years. While the rank...
By Haoyue Wang, Haihao Lu, and Rahul MazumderSIAM Journal on Optimization, Volume 32, Issue 4, Page 2938-2968, December 2022. The Frank--Wolfe method is a popular algorithm for solving large-scale convex optimization problems appearing in structured statistical...
By Xiaojun Chen and Jinglai ShenSIAM Journal on Optimization, Volume 32, Issue 4, Page 2909-2937, December 2022. This paper studies dynamic stochastic variational inequalities (DSVIs) to deal with uncertainties in dynamic variational inequalities (DVIs)....
By Mingyi Hong, Siliang Zeng, Junyu Zhang, and Haoran SunSIAM Journal on Optimization, Volume 32, Issue 4, Page 2879-2908, December 2022. In this work, we study a generic class of decentralized algorithms in which $N$ agents jointly optimize...
By Divya Padmanabhan, Selin Damla Ahipasaoglu, Arjun Ramachandra, and Karthik NatarajanSIAM Journal on Optimization, Volume 32, Issue 4, Page 2828-2858, December 2022. In this paper, we compute the tightest possible bounds on the probability that the optimal value of...
By J. Camacho, M. J. Cánovas, and J. ParraSIAM Journal on Optimization, Volume 32, Issue 4, Page 2859-2878, December 2022. In this paper we focus on different---global, semilocal, and local---versions of Hoffman-type inequalities expressed in a variational...
By Shiyu Liang, Ruoyu Sun, and R. SrikantSIAM Journal on Optimization, Volume 32, Issue 4, Page 2797-2827, December 2022. Traditional landscape analysis of deep neural networks aims to show that no suboptimal local minima exist in...
By F. Flores-Bazán and A. HantouteSIAM Journal on Optimization, Volume 32, Issue 4, Page 2773-2796, December 2022. Convex representatives are proposed for the value function of an infinite-dimensional constrained nonconvex variational problem. All the...
By Kevin Huang and Shuzhong ZhangSIAM Journal on Optimization, Volume 32, Issue 4, Page 2745-2772, December 2022. In this paper, we propose two new solution schemes to solve the stochastic strongly monotone variational inequality...
By S. Rasoul EtesamiSIAM Journal on Optimization, Volume 32, Issue 4, Page 2718-2744, December 2022. We consider the consensus interdiction problem (CIP), in which the goal is to maximize the convergence time...
By Yang Liu and Fred RoostaSIAM Journal on Optimization, Volume 32, Issue 4, Page 2636-2661, December 2022. The conjugate gradient method (CG) has long been the workhorse for inner-iterations of second-order algorithms for large-scale...
By Qiong Wu and Huifu XuSIAM Journal on Optimization, Volume 32, Issue 4, Page 2662-2689, December 2022. Ben-Tal and Teboulle [Management Sci., 32 (1986), pp. 1445--1466] introduce the concept of optimized certainty equivalent...
By Hiroyuki SatoSIAM Journal on Optimization, Volume 32, Issue 4, Page 2690-2717, December 2022. Conjugate gradient methods are important first-order optimization algorithms both in Euclidean spaces and on Riemannian manifolds. However,...
By Lucas SlotSIAM Journal on Optimization, Volume 32, Issue 4, Page 2612-2635, December 2022. Consider the problem of minimizing a polynomial $f$ over a compact semialgebraic set $\mathbf{X} \subseteq \mathbb{R}^n$. Lasserre...
By Yuzixuan Zhu, Deyi Liu, and Quoc Tran-DinhSIAM Journal on Optimization, Volume 32, Issue 4, Page 2580-2611, December 2022. In this paper, we develop new primal-dual algorithms to solve a class of nonsmooth and nonlinear convex-concave...
By David X. Wu, David Palmer, and Daryl R. DeFordSIAM Journal on Optimization, Volume 32, Issue 4, Page 2527-2551, December 2022. We present a convex cone program to infer the latent probability matrix of a random dot product...
By Matthew Hough and Lindon RobertsSIAM Journal on Optimization, Volume 32, Issue 4, Page 2552-2579, December 2022. We present a model-based derivative-free method for optimization subject to general convex constraints, which we assume are...
By Martina Cerulli, Antoine Oustry, Claudia D'Ambrosio, and Leo LibertiSIAM Journal on Optimization, Volume 32, Issue 4, Page 2493-2526, December 2022. We focus on convex semi-infinite programs with an infinite number of quadratically parametrized constraints. In our setting,...
By Maria M. Davis and Dávid PappSIAM Journal on Optimization, Volume 32, Issue 4, Page 2461-2492, December 2022. We study the problem of computing weighted sum-of-squares (WSOS) certificates for positive polynomials over a compact semialgebraic...
It is with deepest gratitude that we acknowledge the generous donors who supported SIAM in 2022. Our financial supporters make possible SIAM’s awards and honors, foster our ability to help ...
Last edited: February 10, 2023 In honor of Black History Month, SIAM has spotlighted influential Black mathematicians from our community. We encourage you to take a moment to read through ...
Society for Industrial and Applied Mathematics (SIAM) is pleased to announce the 2023 Class of MGB-SIAM Early Career Fellows. These distinguished early career professionals were selected based on ...
The Livermore Lab Foundation (LLF) is dedicated to advancing scientific knowledge and inspiring the next generation of scientists and engineers at Lawrence Livermore National Laboratory (LLNL), ...
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.
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 prize honors George B. Dantzig for his contributions to operations research and computer science. The prize is awarded every three years to one or more individuals for original research which by its originality, breadth, and depth is having a major impact on the field of mathematical optimization.
The Lagrange Prize in Continuous Optimization is awarded every three years by the Mathematical Optimization Society (MOS) and SIAM for an outstanding contribution in the area of continuous optimization published in the six calendar years preceding the award year.
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 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.
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.
Established in 1998 in memory of Ralph E. Kleinman, the prize recognizes contributions that bridge the gap between high-level mathematics and engineering problems. The award is based on the quality and impact of the mathematics.
Established in 1992, this prize is awarded to the author or authors of the most outstanding paper, as determined by the selection committee, on a topic in optimization.
Established in 2018, the prize is awarded every three years to an individual in their early career for outstanding, influential, and potentially long-lasting contributions to the field of optimization.
Established in 2022, the prize is awarded every three years to an individual or group of researchers for an outstanding single piece of work that has had significant and sustained influence on the field of optimization over a time period of at least 10 years preceding the year of the award.
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.
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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.