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 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.
Upton, NY, United States
Society for Industrial and Applied Mathematics (SIAM) is pleased to announce the three recipients of the SIAM Postdoctoral Support Program , the first set of awardees in this newly-established ...
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By Jourdain Lamperski, Oleg A. Prokopyev, and Luca G. WrabetzSIAM Journal on Optimization, Volume 33, Issue 3, Page 2435-2456, September 2023. Abstract. We consider min-max-min optimization with smooth and strongly convex objectives. Our motivation for studying this class...
By Van Huynh Ngai and Jean-Paul PenotSIAM Journal on Optimization, Volume 33, Issue 3, Page 2457-2483, September 2023. Abstract. A variant of the compensated convexity process introduced and studied by Zhang and his colleagues...
By Hongfan (Kevin) Chen, Xu Andy Sun, and Haoxiang YangSIAM Journal on Optimization, Volume 33, Issue 3, Page 2406-2434, September 2023. Abstract. We consider a robust optimization problem with continuous decision-dependent uncertainty (RO-CDDU), which has two significant features:...
By Jingyi Wang and Cosmin G. PetraSIAM Journal on Optimization, Volume 33, Issue 3, Page 2379-2405, September 2023. Abstract. An optimization algorithm for nonsmooth nonconvex constrained optimization problems with upper-[math] objective functions is proposed and...
By Zhaosong Lu and Sanyou MeiSIAM Journal on Optimization, Volume 33, Issue 3, Page 2275-2310, September 2023. Abstract. In this paper we develop accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient...
By Guanghui Lan, Yan Li, and Tuo ZhaoSIAM Journal on Optimization, Volume 33, Issue 3, Page 2341-2378, September 2023. Abstract. In this paper, we present a new policy gradient (PG) method, namely, the block policy mirror...
By David Salas and Anton SvenssonSIAM Journal on Optimization, Volume 33, Issue 3, Page 2311-2340, September 2023. Abstract. In 1996, Mallozzi and Morgan [Hierarchical Systems with Weighted Reaction Set, Springer, Boston, 1996, pp. 271–282]...
By Hamed Rahimian and Bernardo PagnoncelliSIAM Journal on Optimization, Volume 33, Issue 3, Page 2248-2274, September 2023. Abstract. Uncertainty in classical stochastic programming models is often described solely by independent random parameters, ignoring their...
By Gilles Bareilles, Franck Iutzeler, and Jérôme MalickSIAM Journal on Optimization, Volume 33, Issue 3, Page 2222-2247, September 2023. Abstract. We consider the problem of minimizing the composition of a nonsmooth function with a smooth mapping...
Atlanta, GA, United States
By Jillian Kunze When it comes to matters of the heart, control theory offers a helpful way to address many aspects of circulatory biology and medicine. Two contributed presentations at the ...
By Frank E. Curtis and Qi WangSIAM Journal on Optimization, Volume 33, Issue 3, Page 2191-2221, September 2023. Abstract. An algorithm for solving nonconvex smooth optimization problems is proposed, analyzed, and tested. The algorithm is...
By Flavia Chorobura and Ion NecoaraSIAM Journal on Optimization, Volume 33, Issue 3, Page 2160-2190, September 2023. Abstract. In this paper we consider large-scale composite optimization problems having the objective function formed as a...
By Francis Bach and Alessandro RudiSIAM Journal on Optimization, Volume 33, Issue 3, Page 2137-2159, September 2023. Abstract. We consider the unconstrained optimization of multivariate trigonometric polynomials by the sum-of-squares hierarchy of lower bounds....
By Figen Oztoprak, Richard Byrd, and Jorge NocedalSIAM Journal on Optimization, Volume 33, Issue 3, Page 2118-2136, September 2023. Abstract. The problem of interest is the minimization of a nonlinear function subject to nonlinear equality constraints...
By Fatih S. Aktaş and Mustafa Ç. PinarSIAM Journal on Optimization, Volume 33, Issue 3, Page 2089-2117, September 2023. Abstract. We propose an inverted approach to the Sparse Principal Component Analysis (SPCA) problem. Most previous research...
By Simai He, Haodong Hu, Bo Jiang, and Zhening LiSIAM Journal on Optimization, Volume 33, Issue 3, Page 2062-2088, September 2023. Abstract. The matrix spectral norm and nuclear norm appear in enormous applications. The generalization of these norms...
By Jonas LatzSIAM Review, Volume 65, Issue 3, Page 831-865, August 2023. Inverse problems describe the task of blending a mathematical model with observational data---a fundamental task in many scientific and...
By Volker H. SchulzSIAM Review, Volume 65, Issue 3, Page 905-915, August 2023. This collection of reviews encompasses a wide range of topics. We kick off with an insightful featured review by...
By Timothy Ginn and Lynn SchreyerSIAM Review, Volume 65, Issue 3, Page 774-805, August 2023. The beauty and simplicity of compartment modeling makes it a useful approach for simulating dynamics in an amazingly wide...
By J. Galkowski and E. A. SpenceSIAM Review, Volume 65, Issue 3, Page 806-828, August 2023. In $d$ dimensions, accurately approximating an arbitrary function oscillating with frequency $\lesssim k$ requires $\sim$$k^d$ degrees of freedom. A...
By Hélène FrankowskaSIAM Review, Volume 65, Issue 3, Page 867-867, August 2023. In this issue, the Education section presents two contributions. “The One-Dimensional Version of Peixoto's Structural Stability Theorem: A...
By Hongyu Miao, Alan S. Perelson, and Hulin WuSIAM Review, Volume 65, Issue 3, Page 732-732, August 2023. This erratum corrects an error in the coefficients of equation (6.23) in the original paper [H. Miao, X. Xia,...
By Benoît Legat, Chenyang Yuan, and Pablo ParriloSIAM Journal on Optimization, Volume 33, Issue 3, Page 2041-2061, September 2023. Abstract. We study the problem of decomposing a polynomial [math] into a sum of [math] squares by...
By Domènec Ruiz-Balet and Enrique ZuazuaSIAM Review, Volume 65, Issue 3, Page 735-773, August 2023. We analyze neural ordinary differential equations (NODEs) from a control theoretical perspective to address some of the main properties...
By Monica Pragliola, Luca Calatroni, Alessandro Lanza, and Fiorella SgallariSIAM Review, Volume 65, Issue 3, Page 601-685, August 2023. Over the last 30 years a plethora of variational regularization models for image reconstruction have been proposed and...
By Brigid Murphy and Paul GlendinningSIAM Review, Volume 65, Issue 3, Page 887-902, August 2023. Some simple models of a child swinging on a playground swing are presented. These are analyzed using techniques from...
By Stefan M. WildSIAM Review, Volume 65, Issue 3, Page 733-733, August 2023. The three articles in this issue's Research Spotlight section highlight the breadth of problems and approaches that have differential...
By The EditorsSIAM Review, Volume 65, Issue 3, Page 829-829, August 2023. The SIGEST article in this issue, which comes from the SIAM/ASA Journal on Uncertainty Quantification, is “Bayesian Inverse Problems...
By Marlis HochbruckSIAM Review, Volume 65, Issue 3, Page 599-599, August 2023. Apart from a short erratum, which concerns the correction of some coefficients in a differential equation in the original...
By Aminur Rahman and D. BlackmoreSIAM Review, Volume 65, Issue 3, Page 869-886, August 2023. Peixoto's structural stability and density theorems represent milestones in the modern theory of dynamical systems and their applications. Despite...
By Christian Bick, Elizabeth Gross, Heather A. Harrington, and Michael T. SchaubSIAM Review, Volume 65, Issue 3, Page 686-731, August 2023. Network-based modeling of complex systems and data using the language of graphs has become an essential topic across a...
By Prateek Jaiswal, Harsha Honnappa, and Vinayak A. RaoSIAM Journal on Optimization, Volume 33, Issue 3, Page 1968-1995, September 2023. Abstract. This paper considers data-driven chance-constrained stochastic optimization problems in a Bayesian framework. Bayesian posteriors afford a...
By Jinhua Wang, Chong Li, and K. F. NgSIAM Journal on Optimization, Volume 33, Issue 3, Page 1996-2020, September 2023. Abstract. We study the issue of strong convergence of inexact proximal point algorithms (introduced by Rockafellar in...
By Wenfang Yao and Xiaoqi YangSIAM Journal on Optimization, Volume 33, Issue 3, Page 2021-2040, September 2023. Abstract. This paper concerns upper estimates of the projectional coderivative of implicit mappings and corresponding applications on...
By Killian Wood and Emiliano Dall’AneseSIAM Journal on Optimization, Volume 33, Issue 3, Page 1943-1967, September 2023. Abstract. This paper focuses on stochastic saddle point problems with decision-dependent distributions. These are problems whose objective...
By Chuan He, Zhaosong Lu, and Ting Kei PongSIAM Journal on Optimization, Volume 33, Issue 3, Page 1734-1766, September 2023. Abstract. In this paper we consider finding a second-order stationary point (SOSP) of nonconvex equality constrained optimization...
By G. N. Grapiglia and Yu. NesterovSIAM Journal on Optimization, Volume 33, Issue 3, Page 1855-1883, September 2023. Abstract. In this paper we propose third-order methods for composite convex optimization problems in which the smooth...
By Francesco Caruso, Maria Carmela Ceparano, and Jacqueline MorganSIAM Journal on Optimization, Volume 33, Issue 3, Page 1914-1942, September 2023. Abstract. In a two-player noncooperative game framework, we deal with the affine relaxations of the best response...
By Radu Ioan Boţ and Axel BöhmSIAM Journal on Optimization, Volume 33, Issue 3, Page 1884-1913, September 2023. Abstract. Minimax problems of the form [math] have attracted increased interest largely due to advances in machine...
By Peng Chen and Johannes O. RoysetSIAM Journal on Optimization, Volume 33, Issue 3, Page 1828-1854, September 2023. Abstract. Computational approaches to PDE-constrained optimization under uncertainty may involve finite-dimensional approximations of control and state spaces,...
By Juan Pablo Luna, Claudia Sagastizábal, Julia Filiberti, Steven A. Gabriel, and Mikhail V. SolodovSIAM Journal on Optimization, Volume 33, Issue 3, Page 1767-1796, September 2023. Abstract. Equilibrium problems with equilibrium constraints are appropriate modeling formulations in a number of important areas, such...
By Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, and Junbin GaoSIAM Journal on Optimization, Volume 33, Issue 3, Page 1797-1827, September 2023. Abstract. In this paper, we study min-max optimization problems on Riemannian manifolds. We introduce a Riemannian Hamiltonian...
By Sebastian BlauthSIAM Journal on Optimization, Volume 33, Issue 3, Page 1707-1733, September 2023. Abstract. The space mapping technique is used to efficiently solve complex optimization problems. It combines the accuracy...
By Yuqia Wu, Shaohua Pan, and Xiaoqi YangSIAM Journal on Optimization, Volume 33, Issue 3, Page 1676-1706, September 2023. Abstract. This paper is concerned with [math]-norm regularized minimization problems with a twice continuously differentiable loss function....
By Serge Gratton, Sadok Jerad, and Philippe L. TointSIAM Journal on Optimization, Volume 33, Issue 3, Page 1621-1646, September 2023. Abstract. An adaptive regularization algorithm for unconstrained nonconvex optimization is presented in which the objective function is...
By Guanghui Lan, Yuyuan Ouyang, and Yi ZhouSIAM Journal on Optimization, Volume 33, Issue 3, Page 1647-1675, September 2023. Abstract. One fundamental problem in constrained decentralized multiagent optimization is the trade-off between gradient/sampling complexity and communication...
By Jiawang Nie, Xindong Tang, and Suhan ZhongSIAM Journal on Optimization, Volume 33, Issue 3, Page 1587-1620, September 2023. Abstract. This paper studies generalized Nash equilibrium problems that are given by rational functions. The optimization problems...
By Céline Moucer, Adrien Taylor, and Francis BachSIAM Journal on Optimization, Volume 33, Issue 3, Page 1558-1586, September 2023. Abstract. First-order methods are often analyzed via their continuous-time models, where their worst-case convergence properties are usually...
By Guanghui Lan and Zhe ZhangSIAM Journal on Optimization, Volume 33, Issue 3, Page 1518-1557, September 2023. Abstract. This paper studies the communication complexity of convex risk-averse optimization over a network. The problem generalizes...
By Amir Beck and Israel RossetSIAM Journal on Optimization, Volume 33, Issue 3, Page 1473-1493, September 2023. Abstract. We consider the problem of minimizing the sum of a smooth nonconvex function and a nonsmooth...
By Edouard Pauwels and Samuel VaiterSIAM Journal on Optimization, Volume 33, Issue 3, Page 1494-1517, September 2023. Abstract. We show that the derivatives of the Sinkhorn–Knopp algorithm, or iterative proportional fitting procedure, converge towards...
By Guillaume CarlierSIAM Journal on Optimization, Volume 33, Issue 3, Page 1463-1472, September 2023. Abstract. This short note is devoted to some applications of a simple quantitative form of the Fenchel–Young...
By Konstantin MishchenkoSIAM Journal on Optimization, Volume 33, Issue 3, Page 1440-1462, September 2023. Abstract. We present a Newton-type method that converges fast from any initialization and for arbitrary convex objectives...
By Cédric Josz and Xiaopeng LiSIAM Journal on Optimization, Volume 33, Issue 3, Page 1416-1439, September 2023. Abstract. When searching for global optima of nonconvex unconstrained optimization problems, it is desirable that every local...
By Archis GhateSIAM Journal on Optimization, Volume 33, Issue 3, Page 1391-1415, September 2023. Abstract. Infinite-horizon nonstationary Markov decision processes (MDPs) extend their stationary counterparts by allowing temporal variations in immediate...
By Yifei Wang, Kangkang Deng, Haoyang Liu, and Zaiwen WenSIAM Journal on Optimization, Volume 33, Issue 3, Page 1361-1390, September 2023. Abstract. We develop a decomposition method based on the augmented Lagrangian framework to solve a broad family...
By Xinrong Li and Ziyan LuoSIAM Journal on Optimization, Volume 33, Issue 3, Page 1333-1360, September 2023. Abstract. The low-rank matrix optimization with affine manifold (rank-MOA) aims to minimize a continuously differentiable function over...
By Chuan He and Zhaosong LuSIAM Journal on Optimization, Volume 33, Issue 2, Page 1191-1222, June 2023. Abstract. In this paper we consider finding an approximate second-order stationary point (SOSP) of nonconvex conic optimization...
By Tobias Harks and Julian SchwarzSIAM Journal on Optimization, Volume 33, Issue 2, Page 1223-1249, June 2023. Abstract. We consider a basic nonconvex resource allocation game, where the players’ strategy spaces are subsets of...
By Alexander Shapiro, Enlu Zhou, and Yifan LinSIAM Journal on Optimization, Volume 33, Issue 2, Page 1279-1304, June 2023. Abstract. We introduce a new framework, Bayesian distributionally robust optimization (Bayesian-DRO), for data-driven stochastic optimization where the...
By Alex L. Wang, Yunlei Lu, and Fatma Kilinç-KarzanSIAM Journal on Optimization, Volume 33, Issue 2, Page 1250-1278, June 2023. Abstract. In this paper we develop efficient first-order algorithms for the generalized trust-region subproblem (GTRS), which has...
By Lijun Ding and Benjamin GrimmerSIAM Journal on Optimization, Volume 33, Issue 2, Page 1305-1332, June 2023. Abstract. The spectral bundle method proposed by Helmberg and Rendl [SIAM J. Optim., 10 (2000), pp. 673–696]...
By Xiao Li, Andre Milzarek, and Junwen QiuSIAM Journal on Optimization, Volume 33, Issue 2, Page 1092-1120, June 2023. Abstract. We study the random reshuffling ([math]) method for smooth nonconvex optimization problems with a finite-sum structure....
By Zhaosong Lu and Zirui ZhouSIAM Journal on Optimization, Volume 33, Issue 2, Page 1159-1190, June 2023. Abstract. In this paper we consider a class of convex conic programming. In particular, we first propose...
By Pham Duy Khanh, Boris S. Mordukhovich, and Vo Thanh PhatSIAM Journal on Optimization, Volume 33, Issue 2, Page 1121-1158, June 2023. Abstract. The paper is devoted to the study, characterizations, and applications of variational convexity of functions, the...
By Frank PermenterSIAM Journal on Optimization, Volume 33, Issue 2, Page 1006-1034, June 2023. Abstract. We develop a new interior-point method (IPM) for symmetric-cone optimization, a common generalization of linear, second-order-cone,...
By Yongfeng Li, Mingming Zhao, Weijie Chen, and Zaiwen WenSIAM Journal on Optimization, Volume 33, Issue 2, Page 921-949, June 2023. Abstract. In this paper, we consider the linear programming (LP) formulation for deep reinforcement learning. The number...
By Hadi Reisizadeh, Behrouz Touri, and Soheil MohajerSIAM Journal on Optimization, Volume 33, Issue 2, Page 978-1005, June 2023. Abstract. We study nonconvex distributed optimization problems where a set of agents collaboratively solve a separable optimization...
By Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, and Yuejie ChiSIAM Journal on Optimization, Volume 33, Issue 2, Page 1061-1091, June 2023. Abstract. Policy optimization, which learns the policy of interest by maximizing the value function via large-scale optimization...
By Junyu Zhang, Mengdi Wang, Mingyi Hong, and Shuzhong ZhangSIAM Journal on Optimization, Volume 33, Issue 2, Page 1035-1060, June 2023. Abstract. We consider the convex-concave saddle point problem [math], where the decision variables [math] and/or [math] are...
By Luca Consolini and Marco LocatelliSIAM Journal on Optimization, Volume 33, Issue 2, Page 868-898, June 2023. Abstract. In the Celis–Dennis–Tapia (CDT) problem a quadratic function is minimized over a region defined by two...
By Jong-Shi Pang and Shaoning HanSIAM Journal on Optimization, Volume 33, Issue 2, Page 899-920, June 2023. Abstract. This paper begins with the review of a class of strictly convex quadratic programs (QPs) with...
By Harald Günzel, Daniel Hernández Escobar, and Jan-J. RückmannSIAM Journal on Optimization, Volume 33, Issue 2, Page 950-977, June 2023. Abstract. In this paper we consider a generalized equation that is mainly characterized by a cone-valued mapping....
By Xavier Dupuis and Samuel VaiterSIAM Journal on Optimization, Volume 33, Issue 2, Page 842-867, June 2023. Abstract. Analysis sparsity is a common prior in inverse problem or machine learning including special cases such...
By Duong Thi Viet An, Hong-Kun Xu, and Nguyen Dong YenSIAM Journal on Optimization, Volume 33, Issue 2, Page 766-784, June 2023. Abstract. We establish some new results on second-order (necessary and sufficient) optimality conditions for minimization problems with...
By Mingjie Gao and Ka-Fai Cedric YiuSIAM Journal on Optimization, Volume 33, Issue 2, Page 816-841, June 2023. Abstract. We study moderate deviations and convergence rates for the optimal values and optimal solutions of sample...
By Bruno Dinis and Pedro PintoSIAM Journal on Optimization, Volume 33, Issue 2, Page 785-815, June 2023. Abstract. In this paper we consider, in the general context of CAT(0) spaces, an iterative schema which...
By Heinz H. Bauschke, Shambhavi Singh, and Xianfu WangSIAM Journal on Optimization, Volume 33, Issue 2, Page 739-765, June 2023. Abstract. Finding a zero of a sum of maximally monotone operators is a fundamental problem in modern...
By Ziang Chen, Yingzhou Li, and Jianfeng LuSIAM Journal on Optimization, Volume 33, Issue 2, Page 713-738, June 2023. Abstract. In this work, we analyze the global convergence property of a coordinate gradient descent with random...
By Peng Wang, Huikang Liu, and Anthony Man-Cho SoSIAM Journal on Optimization, Volume 33, Issue 2, Page 684-712, June 2023. Abstract. A popular robust alternative of the classic principal component analysis (PCA) is the [math]-norm PCA (L1-PCA),...
By Xinwei Zhang, Mingyi Hong, and Nicola EliaSIAM Journal on Optimization, Volume 33, Issue 2, Page 652-683, June 2023. Abstract. Distributed algorithms have been playing an increasingly important role in many applications such as machine learning,...
By Yitian Qian and Shaohua PanSIAM Journal on Optimization, Volume 33, Issue 2, Page 638-651, June 2023. Abstract. This note is concerned with a class of nonmonotone descent methods for minimizing a proper lower...
By Darinka Dentcheva and Andrzej RuszczyńskiSIAM Journal on Optimization, Volume 33, Issue 2, Page 615-637, June 2023. Abstract. Risk forms are real functionals of two arguments: a bounded measurable function on a Polish space...
By Bahar Taşkesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, and Karthik NatarajanSIAM Journal on Optimization, Volume 33, Issue 2, Page 589-614, June 2023. Abstract. We study the computational complexity of the optimal transport problem that evaluates the Wasserstein distance between...
By Eliza O’Reilly and Venkat ChandrasekaranSIAM Journal on Optimization, Volume 33, Issue 2, Page 553-588, June 2023. Abstract. Convex regression is the problem of fitting a convex function to a data set consisting of...
By Christoph Hunkenschröder, Sebastian Pokutta, and Robert WeismantelSIAM Journal on Optimization, Volume 33, Issue 2, Page 538-552, June 2023. Abstract. For a matrix [math], [math], and a convex function [math], we are interested in minimizing [math]...
By Felix Kirschner and Etienne de KlerkSIAM Journal on Optimization, Volume 33, Issue 2, Page 513-537, June 2023. Abstract. In this paper we construct a hierarchy of multivariate polynomial approximation kernels for uniformly continuous functions...
By Alexander Chernyavsky, Jason J. Bramburger, Giovanni Fantuzzi, and David GoluskinSIAM Journal on Optimization, Volume 33, Issue 2, Page 481-512, June 2023. Abstract. We present a method for finding lower bounds on the global infima of integral variational problems,...
By Simone Garatti and Marco C. CampiSIAM Journal on Optimization, Volume 33, Issue 2, Page 455-480, June 2023. Abstract. Scenario optimization is a data-driven technique in which one optimizes an objective function subject to a...
By Mateo Díaz and Benjamin GrimmerSIAM Journal on Optimization, Volume 33, Issue 2, Page 424-454, June 2023. Abstract. We study convergence rates of the classic proximal bundle method for a variety of nonsmooth convex...
By Dus̆an Jakovetić, Dragana Bajović, Anit Kumar Sahu, Soummya Kar, Nemanja Milos̆ević, and Dus̆an StamenkovićSIAM Journal on Optimization, Volume 33, Issue 2, Page 394-423, June 2023. Abstract. We introduce a general framework for nonlinear stochastic gradient descent (SGD) for the scenarios when gradient...
By Radu Ioan Boţ, Minh N. Dao, and Guoyin LiSIAM Journal on Optimization, Volume 33, Issue 2, Page 361-393, June 2023. Abstract. In this paper, we consider a class of nonsmooth sum-of-ratios fractional optimization problems with block structure....
By Lina Sorg According to the Centers for Disease Control and Prevention , Alzheimer’s disease (AD) is the most common form of dementia and the fifth leading cause of death in U.S. adults ...
By Jillian Kunze Adélie penguins exhibit ...
By Lina Sorg Remotely operated vehicles (ROVs), autonomous underwater vehicles, and other undersea robots contribute to continued advances in ocean exploration. These robots contain a variety ...
By Lina Sorg The current U.S. opioid epidemic began in the late 1990s as a result of lobbyist groups’ complaints that doctors were consistently undertreating pain, combined with claims from ...
By Lina Sorg The distribution of resource availability directly affects the locations at which animals forage for food. When engaging in productive foraging behavior, animals also need to ...
By Xihaier Luo and Byung-Jun Yoon Climate change is a critical issue that requires immediate attention. Rising global temperatures and the prospect of further warming pose significant ...
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.
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 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.