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 ...
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By Julien Flamant, Konstantin Usevich, Marianne Clausel, and David BrieSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 632-671, March 2024. Abstract. This work introduces polarimetric Fourier phase retrieval (PPR), a physically inspired model to leverage polarization...
By Gaik Ambartsoumian, Mohammad J. Latifi Jebelli, and Rohit K. MishraSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 595-631, March 2024. Abstract.The paper discusses numerical implementations of various inversion schemes for generalized V-line transforms on vector fields...
By Xue-Cheng Tai, Hao Liu, and Raymond ChanSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 540-594, March 2024. Abstract. For problems in image processing and many other fields, a large class of effective neural...
By Qiguang Chen, Zhiwen Li, and Lok Ming LuiSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 501-539, March 2024. Abstract. Many imaging problems can be formulated as mapping problems. A general mapping problem aims to...
March is Women's History Month, and to celebrate, SIAM is featuring women within our community for their contributions to the applied mathematics and computational science field. Read the ...
It is with deepest gratitude that we acknowledge the generous donors who supported SIAM in 2023. Many of SIAM's awards and honors, such as the recently established SIAM Activity Group on ...
By Zunwei Fu, Yan Lin, Dachun Yang, and Shuhui YangSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 476-500, March 2024. Abstract.Via chirp functions from fractional Fourier transforms, we introduce fractional Riesz potentials related to chirp functions, which...
By Alexander KatsevichSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 415-440, March 2024. Abstract. In this paper we consider the generalized Radon transform [math] in the plane. Let [math]...
By Junying Meng, Faqiang Wang, and Jun LiuSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 441-475, March 2024. Abstract. High-dimensional deep features extracted by convolutional neural networks have nonlocal self-similarity. However, incorporating this nonlocal...
By Alessandro Sarti, Mattia Galeotti, and Giovanna CittiSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 389-414, March 2024. Abstract. Receptive profiles of the primary visual cortex (V1) cortical cells are very heterogeneous and act...
By Antonio Corbo Esposito, Luisa Faella, Gianpaolo Piscitelli, Vincenzo Mottola, Ravi Prakash, and Antonello TamburrinoSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 351-388, March 2024. Abstract. This paper refers to an imaging problem in the presence of nonlinear materials. Specifically, the...
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 Vladimir Druskin, Shari Moskow, and Mikhail ZaslavskySIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 334-350, March 2024. Abstract.Data-driven reduced order models (ROMs) have recently emerged as an efficient tool for the solution of inverse...
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 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 Dominik Narnhofer, Andreas Habring, Martin Holler, and Thomas PockSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 301-333, March 2024. Abstract.In this work, a method for obtaining pixelwise error bounds in Bayesian regularization of inverse imaging...
By Gaiting Zhou, Daniel Tward, and Kenneth LangeSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 273-300, March 2024. Abstract. Intensity-based image registration is critical for neuroimaging tasks, such as 3D reconstruction, times-series alignment, and...
By Xu Xiao, Youwei Wen, Raymond Chan, and Tieyong ZengSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 248-272, March 2024. Abstract. The Mumford–Shah model is a classical segmentation model, but its objective function is nonconvex. The...
By HanQin Cai, Zehan Chao, Longxiu Huang, and Deanna NeedellSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 225-247, March 2024. Abstract. We study the tensor robust principal component analysis (TRPCA) problem, a tensorial extension of matrix...
By Long Li, Jiansheng Yang, Bo Zhang, and Haiwen ZhangSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 188-224, March 2024. Abstract. This paper is concerned with the problem of inverse scattering of time-harmonic acoustic plane waves...
By Bangti Jin, Xiyao Li, Qimeng Quan, and Zhi ZhouSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 147-187, March 2024. Abstract. In this work, we develop a novel approach using deep neural networks (DNNs) to reconstruct...
By Siddharth S. Iyer, Frank Ong, Xiaozhi Cao, Congyu Liao, Luca Daniel, Jonathan I. Tamir, and Kawin SetsompopSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 116-146, March 2024. Abstract. This work aims to accelerate the convergence of proximal gradient methods used to solve regularized...
By Alexis Goujon, Sebastian Neumayer, and Michael UnserSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 91-115, March 2024. Abstract.We propose to learn non-convex regularizers with a prescribed upper bound on their weak-convexity modulus. Such...
By Luzia N. Felber, Helmut Harbrecht, and Marc SchmidlinSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 61-90, March 2024. Abstract. We consider the task of estimating the unknown diffusion parameter in an elliptic PDE as...
By Avrajit Ghosh, Michael McCann, Madeline Mitchell, and Saiprasad RavishankarSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 31-60, March 2024. Abstract. We present a gradient-based heuristic method for supervised learning of sparsity-promoting regularizers for denoising signals...
By Fan Jia, Shen Mao, Xue-Cheng Tai, and Tieyong ZengSIAM Journal on Imaging Sciences, Volume 17, Issue 1, Page 1-30, March 2024. Abstract. Low-light image enhancement plays an important role in computer vision applications, which is a fundamental...
By Ji Li, Weixi Wang, and Hui JiSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 2247-2284, December 2023. Abstract. Deep learning has proved to be a powerful tool for solving inverse problems in imaging,...
By Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, Evangelos Papoutsellis, David Schote, Clemens Sirotenko, Felix Frederik Zimmermann, and Kostas PapafitsorosSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 2202-2246, December 2023. Abstract. We introduce a method for the fast estimation of data-adapted, spatially and temporally dependent regularization...
By Zetao Fei and Hai ZhangSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 2175-2201, December 2023. Abstract. We consider the problem of reconstructing one-dimensional point sources from their Fourier measurements in a...
By Mikhail Gilman and Semyon V. TsynkovSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 2144-2174, December 2023. Abstract. Turbulent fluctuations of the electron number density in the Earth’s ionosphere may hamper the performance...
By Ping Liu and Habib AmmariSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 2105-2143, December 2023. Abstract. By introducing a new operator theory, we provide a unified mathematical theory for general source...
By Yuchen Xiao and Xiaosheng ZhuangSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 2072-2104, December 2023. Abstract. In this paper, we investigate in detail the structures of the variational characterization [math] of...
By Marcelo Pereyra, Luis A. Vargas-Mieles, and Konstantinos C. ZygalakisSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 2040-2071, December 2023. Abstract. Developing efficient Bayesian computation algorithms for imaging inverse problems is challenging due to the dimensionality...
By Arttu Arjas, Mikko J. Sillanpää, and Andreas S. HauptmannSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 2015-2039, December 2023. Abstract. Inverse problems are in many cases solved with optimization techniques. When the underlying model is...
By Adi Shasha Geva and Yoel ShkolniskySIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 1978-2014, December 2023. Abstract. A main task in cryo-electron microscopy single particle reconstruction is to find a three-dimensional model...
By Peijun Li, Ying Liang, and Yuliang WangSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 1929-1952, December 2023. Abstract. We propose a data-assisted two-stage method for solving an inverse random source problem of the...
By Kai Zhang and Alireza EntezariSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 1953-1977, December 2023. Abstract. This paper presents a framework for efficient and accurate computation of X-ray optics, a key...
By Limei Huo, Wengu Chen, Huanmin Ge, and Michael K. NgSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 1886-1928, December 2023. Abstract. The nonconvex optimization method has attracted increasing attention due to its excellent ability of promoting...
By Simon Hubmer, Ekaterina Sherina, Ronny Ramlau, Michael Pircher, and Rainer LeitgebSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 1857-1885, December 2023. Abstract. In this paper, we consider subaperture-based approaches for the digital aberration correction (DAC) of optical...
By Rima Alaifari, Giovanni S. Alberti, and Tandri GaukssonSIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page SC14-SC26, December 2023. Abstract. As interest in deep neural networks (DNNs) for image reconstruction tasks grows, their reliability has...
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SIAM is excited to announce the 2024 Class of MGB-SIAM Early Career Fellows. These accomplished early career professionals were chosen based on their achievements; active support of diversity, ...
To celebrate Black History Month, SIAM is featuring Dr. Nandi Leslie, a prominent Black applied mathematician from our community. We encourage you to take a moment to read through this spotlight, ...
SIAM is pleased to announce new officers for several activity groups. SIAM Activity Groups (SIAGs) provide a more focused forum for SIAM members interested in exploring one of the areas of applied ...
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 1999 in memory of Julian D. Cole and his work in mathematical applications to aerodynamics. It is awarded for the application of mathematical methods or the mathematical solution of a challenging problem in engineering or the physical or biological sciences.
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 2010, the prize is awarded to the author or authors of the most outstanding paper, as determined by the selection committee, on mathematical and computational aspects of imaging.
Established in 2015, the prize is awarded to an individual in their early career for research contributions to the field of imaging science.
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 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.