By Harbir Antil and Rainald Löhner A 2020 position paper by the American Institute of Aeronautics and Astronautics and the Aerospace Industries Association defines a digital twin (DT) ...
May is Asian American and Pacific Islander (AAPI) Heritage Month in the U.S., a commemorative month to recognize the historical and cultural contributions of Asian Americans, Pacific Islanders, and ...
By Avinash Bhardwaj, Vishnu Narayanan, and Abhishek PathapatiSIAM Journal on Optimization, Volume 34, Issue 2, Page 1622-1645, June 2024. Abstract. Augmented Lagrangian dual augments the classical Lagrangian dual with a nonnegative nonlinear penalty function of the violation...
By Yuri Alexeev , Ankit Kulshrestha , and Ilya Safro Rapid advancements in various quantum computing architectures have ignited a sense of cautious optimism about the realization of ...
By Martin Morin, Sebastian Banert, and Pontus GiselssonSIAM Journal on Optimization, Volume 34, Issue 2, Page 1595-1621, June 2024. Abstract. We investigate frugal splitting operators for finite sum monotone inclusion problems. These operators utilize exactly one direct...
By Sivaramakrishnan Ramani and Archis GhateSIAM Journal on Optimization, Volume 34, Issue 2, Page 1540-1568, June 2024. Abstract. We introduce a family of [math]-rectangular robust Markov decision processes ([math]-RMDPs) indexed with [math]. In each...
By Kristian Bredies, Enis Chenchene, and Emanuele NaldiSIAM Journal on Optimization, Volume 34, Issue 2, Page 1569-1594, June 2024. Abstract. In this paper, we propose several graph-based extensions of the Douglas–Rachford splitting (DRS) method to solve...
SIAM is excited to announce four new researchers who will receive funding through the SIAM Postdoctoral Support Program , the second set of awardees in this newly established program. These early ...
By Roberto Andreani, María L. Schuverdt, and Leonardo D. SecchinSIAM Journal on Optimization, Volume 34, Issue 2, Page 1515-1539, June 2024. Abstract. The Fritz John (FJ) and Karush–Kuhn–Tucker (KKT) conditions are fundamental tools for characterizing minimizers and form...
By Jie WangSIAM Journal on Optimization, Volume 34, Issue 2, Page 1490-1514, June 2024. Abstract. We study optimal simple second-order cone representations (a particular subclass of second-order cone representations) for weighted...
By Robin Brown, David E. Bernal Neira, Davide Venturelli, and Marco PavoneSIAM Journal on Optimization, Volume 34, Issue 2, Page 1455-1489, June 2024. Abstract. Recent years have seen significant advances in quantum/quantum-inspired technologies capable of approximately searching for the ground...
By Nuozhou Wang and Shuzhong ZhangSIAM Journal on Optimization, Volume 34, Issue 2, Page 1374-1401, June 2024. Abstract. A popular approach to minimizing a finite sum of smooth convex functions is stochastic gradient descent...
By Andrew D. McRae and Nicolas BoumalSIAM Journal on Optimization, Volume 34, Issue 2, Page 1427-1454, June 2024. Abstract. Orthogonal group synchronization is the problem of estimating [math] elements [math] from the [math] orthogonal group given...
By M. Dambrine, Ch. Dossal, B. Puig, and A. RondepierreSIAM Journal on Optimization, Volume 34, Issue 2, Page 1402-1426, June 2024. Abstract. In this article, a family of SDEs are derived as a tool to understand the behavior of...
By Timotej Hrga, Igor Klep, and Janez PovhSIAM Journal on Optimization, Volume 34, Issue 2, Page 1341-1373, June 2024. Abstract. Bell inequalities are pillars of quantum physics in that their violations imply that certain properties of...
By Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, and Ting Kei PongSIAM Journal on Optimization, Volume 34, Issue 2, Page 1316-1340, June 2024. Abstract. Error bounds are a requisite for trusting or distrusting solutions in an informed way. Until recently,...
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By Christoph Buchheim, Alexandra Grütering, and Christian MeyerSIAM Journal on Optimization, Volume 34, Issue 2, Page 1295-1315, June 2024. Abstract. We consider optimal control problems for partial differential equations where the controls take binary values but...
April is National Volunteer Month, an occasion to celebrate the dedicated individuals who selflessly offer their time and energy to make SIAM (and the world) a better place. We would like to ...
By Somayeh Bakhtiari Ramezani and Amin Amirlatifi The emergence of machine learning—particularly deep learning—in nearly every scientific and industrial sector has ushered in the era of ...
By Sebastian Banert, Jevgenija Rudzusika, Ozan Öktem, and Jonas AdlerSIAM Journal on Optimization, Volume 34, Issue 2, Page 1236-1263, June 2024. Abstract. We propose several deep-learning accelerated optimization solvers with convergence guarantees. We use ideas from the analysis...
By Kaizhao Sun, Mou Sun, and Wotao YinSIAM Journal on Optimization, Volume 34, Issue 2, Page 1206-1235, June 2024. Abstract. This paper introduces two decomposition-based methods for two-block mixed-integer linear programs (MILPs), which aim to take...
By Volker KrätschmerSIAM Journal on Optimization, Volume 34, Issue 2, Page 1264-1294, June 2024. Abstract. We study statistical properties of the optimal value of the sample average approximation (SAA). The focus...
By Christoph Buchheim, Alexandra Grütering, and Christian MeyerSIAM Journal on Optimization, Volume 34, Issue 2, Page 1187-1205, June 2024. Abstract. We consider optimal control problems for partial differential equations where the controls take binary values but...
By Andre Milzarek, Fabian Schaipp, and Michael UlbrichSIAM Journal on Optimization, Volume 34, Issue 1, Page 1157-1185, March 2024. Abstract. We develop an implementable stochastic proximal point (SPP) method for a class of weakly convex, composite...
By Zhuoqing Song, Lei Shi, Shi Pu, and Ming YanSIAM Journal on Optimization, Volume 34, Issue 1, Page 1131-1156, March 2024. Abstract. We consider the decentralized optimization problem, where a network of [math] agents aims to collaboratively minimize...
By Xuan Zhang, Necdet Serhat Aybat, and Mert GürbüzbalabanSIAM Journal on Optimization, Volume 34, Issue 1, Page 1097-1130, March 2024. Abstract. We consider strongly-convex-strongly-concave saddle point problems assuming we have access to unbiased stochastic estimates of the...
By Frank de Meijer and Renata SotirovSIAM Journal on Optimization, Volume 34, Issue 1, Page 1071-1096, March 2024. Abstract. It is well known that by adding integrality constraints to the semidefinite programming (SDP) relaxation of...
By Deren Han, Yansheng Su, and Jiaxin XieSIAM Journal on Optimization, Volume 34, Issue 1, Page 1045-1070, March 2024. Abstract. The Douglas–Rachford (DR) method is a widely used method for finding a point in the intersection...
By Yangyang XuSIAM Journal on Optimization, Volume 34, Issue 1, Page 1006-1044, March 2024. Abstract. Minimax problems have recently attracted a lot of research interests. A few efforts have been made...
By Sihan Zeng, Thinh T. Doan, and Justin RombergSIAM Journal on Optimization, Volume 34, Issue 1, Page 946-976, March 2024. Abstract. We study a new two-time-scale stochastic gradient method for solving optimization problems, where the gradients are...
By Gábor Pataki and Aleksandr TouzovSIAM Journal on Optimization, Volume 34, Issue 1, Page 977-1005, March 2024. Abstract. A striking pathology of semidefinite programs (SDPs) is illustrated by a classical example of Khachiyan: feasible...
By Nguyen T. V. Hang and M. Ebrahim SarabiSIAM Journal on Optimization, Volume 34, Issue 1, Page 918-945, March 2024. Abstract. The presence of second-order smoothness for objective functions of optimization problems can provide valuable information about...
By Karl Welzel and Raphael A. HauserSIAM Journal on Optimization, Volume 34, Issue 1, Page 893-917, March 2024. Abstract. Quasi-Newton methods employ an update rule that gradually improves the Hessian approximation using the already available...
By Shaoning Han and Jong-Shi PangSIAM Journal on Optimization, Volume 34, Issue 1, Page 870-892, March 2024. Abstract. This paper studies the existence of a (Lipschitz) continuous (single-valued) solution function of parametric variational inequalities...
By Johannes Milz and Michael UlbrichSIAM Journal on Optimization, Volume 34, Issue 1, Page 844-869, March 2024. Abstract. The sample average approximation (SAA) approach is applied to risk-neutral optimization problems governed by semilinear elliptic...
By Walid Ben-AmeurSIAM Journal on Optimization, Volume 34, Issue 1, Page 817-843, March 2024. Abstract. We study the cone of factor-width-[math] matrices, where the factor width of a positive semidefinite matrix...
By Nadav HallakSIAM Journal on Optimization, Volume 34, Issue 1, Page 790-816, March 2024. Abstract. This paper proposes a path-based approach for the minimization of a continuously differentiable function over sparse...
By Haoya Li, Hsiang-Fu Yu, Lexing Ying, and Inderjit S. DhillonSIAM Journal on Optimization, Volume 34, Issue 1, Page 764-789, March 2024. Abstract. Entropy regularized Markov decision processes have been widely used in reinforcement learning. This paper is concerned...
By Leon Eifler and Ambros GleixnerSIAM Journal on Optimization, Volume 34, Issue 1, Page 742-763, March 2024. Abstract. This paper is concerned with the exact solution of mixed-integer programs (MIPs) over the rational numbers,...
By Mengmeng Song and Yong XiaSIAM Journal on Optimization, Volume 34, Issue 1, Page 718-741, March 2024. Abstract. Linear programming on the Stiefel manifold (LPS) is studied for the first time. It aims at...
By Güzin Bayraksan, Francesca Maggioni, Daniel Faccini, and Ming YangSIAM Journal on Optimization, Volume 34, Issue 1, Page 682-717, March 2024. Abstract. Multistage mixed-integer distributionally robust optimization (DRO) forms a class of extremely challenging problems since their size...
By Wutao Si, P.-A. Absil, Wen Huang, Rujun Jiang, and Simon VarySIAM Journal on Optimization, Volume 34, Issue 1, Page 654-681, March 2024. Abstract. In recent years, the proximal gradient method and its variants have been generalized to Riemannian manifolds...
By Honglin Luo, Xianfu Wang, and Xinmin YangSIAM Journal on Optimization, Volume 34, Issue 1, Page 642-653, March 2024. Abstract. Proximal mappings are essential in splitting algorithms for both convex and nonconvex optimization. In this paper,...
By Bjørn Fredrik Nielsen and Zdeněk StrakošSIAM Review, Volume 66, Issue 1, Page 125-146, February 2024. We analyze the spectrum of the operator $\Delta^{-1} [\nabla \cdot (K\nabla u)]$ subject to homogeneous Dirichlet or Neumann boundary...
By Anita T. LaytonSIAM Review, Volume 66, Issue 1, Page 193-201, February 2024. If you are keen to understand the world around us by developing mathematical or data-driven models, or if you...
By Eva-Maria Walz, Alexander Henzi, Johanna Ziegel, and Tilmann GneitingSIAM Review, Volume 66, Issue 1, Page 91-122, February 2024. How can we quantify uncertainty if our favorite computational tool---be it a numerical, statistical, or machine learning...
By Helene FrankowskaSIAM Review, Volume 66, Issue 1, Page 147-147, February 2024. In this issue the Education section presents two contributions. The first paper, “Resonantly Forced ODEs and Repeated Roots,”...
By Gabriel R. Barrenechea, Volker John, and Petr KnoblochSIAM Review, Volume 66, Issue 1, Page 3-88, February 2024. Convection-diffusion-reaction equations model the conservation of scalar quantities. From the analytic point of view, solutions of these equations satisfy,...
By Zongren Zou, Xuhui Meng, Apostolos F. Psaros, and George E. KarniadakisSIAM Review, Volume 66, Issue 1, Page 161-190, February 2024. Uncertainty quantification (UQ) in machine learning is currently drawing increasing research interest, driven by the rapid deployment of deep...
By Stefan M. WildSIAM Review, Volume 66, Issue 1, Page 89-89, February 2024. As modeling, simulation, and data-driven capabilities continue to advance and be adopted for an ever expanding set of applications...
By Allan R. WillmsSIAM Review, Volume 66, Issue 1, Page 149-160, February 2024. In a recent article in this journal, Gouveia and Stone [``Generating Resonant and Repeated Root Solutions to Ordinary Differential...
By Ulysse Marteau-Ferey, Francis Bach, and Alessandro RudiSIAM Journal on Optimization, Volume 34, Issue 1, Page 616-641, March 2024. Abstract. We consider the problem of decomposing a regular nonnegative function as a sum of squares of...
By The EditorsSIAM Review, Volume 66, Issue 1, Page 123-123, February 2024. The SIGEST article in this issue is “A Simple Formula for the Generalized Spectrum of Second Order Self-Adjoint Differential...
By Marlis HochbruckSIAM Review, Volume 66, Issue 1, Page 1-1, February 2024. Numerical methods for partial differential equations can only be successful if their numerical solutions reflect fundamental properties of the...
By Xiaozhou Wang and Ting Kei PongSIAM Journal on Optimization, Volume 34, Issue 1, Page 563-589, March 2024. Abstract. Given closed convex sets [math], [math], and some nonzero linear maps [math], [math], of suitable dimensions,...
By Sergio Cristancho and Mauricio VelascoSIAM Journal on Optimization, Volume 34, Issue 1, Page 590-615, March 2024. Abstract. We introduce novel polyhedral approximation hierarchies for the cone of nonnegative forms on the unit sphere...
By Maël Forcier, Stéphane Gaubert, and Vincent LeclèreSIAM Journal on Optimization, Volume 34, Issue 1, Page 533-562, March 2024. Abstract. We show that the multistage stochastic linear problem (MSLP) with an arbitrary cost distribution is equivalent...
By Zhe Sun and Lei WuSIAM Journal on Optimization, Volume 34, Issue 1, Page 485-506, March 2024. Abstract. In this paper, we consider a class of structured nonsmooth difference-of-convex (DC) minimization in which the...
By Tobia Marcucci, Jack Umenberger, Pablo Parrilo, and Russ TedrakeSIAM Journal on Optimization, Volume 34, Issue 1, Page 507-532, March 2024. Abstract. Given a graph, the shortest-path problem requires finding a sequence of edges with minimum cumulative length...
By David Applegate, Mateo Díaz, Haihao Lu, and Miles LubinSIAM Journal on Optimization, Volume 34, Issue 1, Page 459-484, March 2024. Abstract. We study the problem of detecting infeasibility of large-scale linear programming problems using the primal-dual hybrid...
By Nan Jiang and Weijun XieSIAM Journal on Optimization, Volume 34, Issue 1, Page 419-458, March 2024. Abstract. A typical data-driven stochastic program seeks the best decision that minimizes the sum of a deterministic...
By Tianyi Liu, Yifan Lin, and Enlu ZhouSIAM Journal on Optimization, Volume 34, Issue 1, Page 389-418, March 2024. Abstract. We consider stochastic optimization under distributional uncertainty, where the unknown distributional parameter is estimated from streaming...
By Hanyang Li and Ying CuiSIAM Journal on Optimization, Volume 34, Issue 1, Page 306-335, March 2024. Abstract. In this paper, we have studied a decomposition method for solving a class of nonconvex two-stage...
By Adrian S. Lewis, Genaro López-Acedo, and Adriana NicolaeSIAM Journal on Optimization, Volume 34, Issue 1, Page 366-388, March 2024. Abstract. Differentiable structure ensures that many of the basics of classical convex analysis extend naturally from Euclidean...
By Wenqing Ouyang, Yang Liu, and Andre MilzarekSIAM Journal on Optimization, Volume 34, Issue 1, Page 336-365, March 2024. Abstract. Anderson acceleration ([math]) is a popular acceleration technique to enhance the convergence of fixed-point schemes. The...
By Anis Hamadouche, Yun Wu, Andrew M. Wallace, and João F. C. MotaSIAM Journal on Optimization, Volume 34, Issue 1, Page 278-305, March 2024. Abstract. We analyze the convergence of the proximal gradient algorithm for convex composite problems in the presence...
By Camille Castera, Hedy Attouch, Jalal Fadili, and Peter OchsSIAM Journal on Optimization, Volume 34, Issue 1, Page 251-277, March 2024. Abstract. We introduce a new dynamical system at the interface between second-order dynamics with inertia and Newton’s...
By Christian Günther, Bahareh Khazayel, and Christiane TammerSIAM Journal on Optimization, Volume 34, Issue 1, Page 225-250, March 2024. Abstract. The separation of two sets (or more specific of two cones) plays an important role in...
By Weiwei Kong and Renato D. C. MonteiroSIAM Journal on Optimization, Volume 34, Issue 1, Page 201-224, March 2024. Abstract. This paper proposes and analyzes a dampened proximal alternating direction method of multipliers (DP.ADMM) for solving...
By Iskander Aliev, Martin Henk, Mark Hogan, Stefan Kuhlmann, and Timm OertelSIAM Journal on Optimization, Volume 34, Issue 1, Page 190-200, March 2024. Abstract. Given a rational pointed [math]-dimensional cone [math], we study the integer Carathéodory rank [math] and its...
By Zheng Qu and Xindong TangSIAM Journal on Optimization, Volume 34, Issue 1, Page 127-162, March 2024. Abstract. In this paper, we consider polynomial optimization with correlative sparsity. We construct correlatively sparse Lagrange multiplier...
By Grigoriy Blekherman, Santanu S. Dey, and Shengding SunSIAM Journal on Optimization, Volume 34, Issue 1, Page 98-126, March 2024. Abstract. We study properties of the convex hull of a set [math] described by quadratic inequalities. A...
By Alexandre d’Aspremont, Cristóbal Guzmán, and Clément LezaneSIAM Journal on Optimization, Volume 34, Issue 1, Page 163-189, March 2024. Abstract. Inspired by regularization techniques in statistics and machine learning, we study complementary composite minimization in the...
By Jérôme Bolte, Edouard Pauwels, and Antonio Silveti-FallsSIAM Journal on Optimization, Volume 34, Issue 1, Page 71-97, March 2024. Abstract. We leverage path differentiability and a recent result on nonsmooth implicit differentiation calculus to give sufficient...
By Cédric Josz and Lexiao LaiSIAM Journal on Optimization, Volume 34, Issue 1, Page 57-70, March 2024. Abstract. We provide sufficient conditions for instability of the subgradient method with constant step size around a...
By Nikita Doikov, Konstantin Mishchenko, and Yurii NesterovSIAM Journal on Optimization, Volume 34, Issue 1, Page 27-56, March 2024. Abstract. We analyze the performance of a variant of the Newton method with quadratic regularization for solving...
By Antonio Bellon, Mareike Dressler, Vyacheslav Kungurtsev, Jakub Mareček, and André UschmajewSIAM Journal on Optimization, Volume 34, Issue 1, Page 1-26, March 2024. Abstract. We present an online algorithm for time-varying semidefinite programs (TV-SDPs), based on the tracking of the...
By Eugene Levner and Vladimir Kats Advances in human genomics, combined with the ongoing need to discover viruses and new drugs, require the ability to test an ever-larger number of ...
Are you a student or an early career SIAM member, 35 years old or younger, and have you made a charitable gift to SIAM in 2024? If so, you can now join Young Friends of SIAM! We ...
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.
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 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 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.
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.
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.