Linear algebra is a fundamental tool in modeling and computation. This area covers research and computational methods in linear algebra and matrix analysis. A few examples of the diverse areas of application are signal processing, systems and control theory, statistics, Markov chains, and mathematical biology.

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.

By Volker H. Schulz SIAM Review, Volume 62, Issue 1, Page 283-297, January 2020. The frame for the Book Reviews section this time is formed by the books of two very well known...

By The Editors SIAM Review, Volume 62, Issue 1, Page 197-197, January 2020. The SIGEST article in this issue, “Asymptotically Compatible Schemes for Robust Discretization of Parametrized Problems with Applications to Nonlocal...

By Misha E. Kilmer SIAM Review, Volume 62, Issue 1, Page 131-131, January 2020. Tensors, or multiway arrays, are often used for storage of high-dimensional data. In order to have compression, completion,...

By J. M. Sanz-Serna SIAM Review, Volume 62, Issue 1, Page 1-1, January 2020. Bernard Brogliato and Aneel Tanwani are the authors of “Dynamical Systems Coupled with Monotone Set-Valued Operators: Formalisms, Applications, Well-Posedness,...

By Darinka Dentcheva SIAM Review, Volume 62, Issue 1, Page 229-230, January 2020. The Education section of SIAM Review presents three papers in this issue. In the first paper Robert M. Corless...

By Xiaochuan Tian and Qiang Du SIAM Review, Volume 62, Issue 1, Page 199-227, January 2020. Many problems in nature, being characterized by a parameter, are of interest both with a fixed parameter value...

By Bernard Brogliato and Aneel Tanwani SIAM Review, Volume 62, Issue 1, Page 3-129, January 2020. This survey article addresses the class of continuous-time systems where a system modeled by ordinary differential equations is...

By David Hong, Tamara G. Kolda, and Jed A. Duersch SIAM Review, Volume 62, Issue 1, Page 133-163, January 2020. Tensor decomposition is a fundamental unsupervised machine learning method in data science, with applications including network analysis and sensor...

By Tracy L. Stepien, Eric J. Kostelich, and Yang Kuang SIAM Review, Volume 62, Issue 1, Page 244-263, January 2020. Most undergraduates have limited experience with mathematical modeling. In an effort to respond to various initiatives, such as the...

By Antônio Francisco Neto SIAM Review, Volume 62, Issue 1, Page 264-280, January 2020. In this work we introduce a new operator based approach to matrix analysis. Our main technical tool comprises an...

By Nawaf Bou-Rabee and Miranda C. Holmes-Cerfon SIAM Review, Volume 62, Issue 1, Page 164-195, January 2020. Sticky Brownian motion is the simplest example of a diffusion process that can spend finite time both in the...

By Robert M. Corless and Leili Rafiee Sevyeri SIAM Review, Volume 62, Issue 1, Page 231-243, January 2020. We look at two classical examples in the theory of numerical analysis, namely, the Runge example for interpolation and...

By Dmitry Batenkov, Laurent Demanet, Gil Goldman, and Yosef Yomdin SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 199-220, January 2020. We prove sharp lower bounds for the smallest singular value of a partial Fourier...

By Xin Xing and Edmond Chow SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 221-243, January 2020. In the construction of rank-structured matrix representations of dense kernel matrices, a heuristic compression...

By Estelle Massart and P.-A. Absil SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 171-198, January 2020. This paper explores the well-known identification of the manifold of rank $p$ positive-semidefinite matrices...

By Florent Bouchard, Bijan Afsari, Jérôme Malick, and Marco Congedo SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 152-170, January 2020. We consider the classical problem of approximate joint diagonalization of matrices, which can be...

By Jarosław Buczyński, Elisa Postinghel, and Filip Rupniewski SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 106-133, January 2020. We address the problem of the additivity of the tensor rank. That is, for...

By Volker Mehrmann and Paul M. Van Dooren SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 134-151, January 2020. We construct optimally robust port-Hamiltonian realizations of a given rational transfer function that represents...

By Volker H. Schulz SIAM Review, Volume 62, Issue 1, Page 283-297, January 2020. The frame for the Book Reviews section this time is formed by the books of two very well known...

By The Editors SIAM Review, Volume 62, Issue 1, Page 197-197, January 2020. The SIGEST article in this issue, “Asymptotically Compatible Schemes for Robust Discretization of Parametrized Problems with Applications to Nonlocal...

By Misha E. Kilmer SIAM Review, Volume 62, Issue 1, Page 131-131, January 2020. Tensors, or multiway arrays, are often used for storage of high-dimensional data. In order to have compression, completion,...

By J. M. Sanz-Serna SIAM Review, Volume 62, Issue 1, Page 1-1, January 2020. Bernard Brogliato and Aneel Tanwani are the authors of “Dynamical Systems Coupled with Monotone Set-Valued Operators: Formalisms, Applications, Well-Posedness,...

By Darinka Dentcheva SIAM Review, Volume 62, Issue 1, Page 229-230, January 2020. The Education section of SIAM Review presents three papers in this issue. In the first paper Robert M. Corless...

By Xiaochuan Tian and Qiang Du SIAM Review, Volume 62, Issue 1, Page 199-227, January 2020. Many problems in nature, being characterized by a parameter, are of interest both with a fixed parameter value...

By Bernard Brogliato and Aneel Tanwani SIAM Review, Volume 62, Issue 1, Page 3-129, January 2020. This survey article addresses the class of continuous-time systems where a system modeled by ordinary differential equations is...

By David Hong, Tamara G. Kolda, and Jed A. Duersch SIAM Review, Volume 62, Issue 1, Page 133-163, January 2020. Tensor decomposition is a fundamental unsupervised machine learning method in data science, with applications including network analysis and sensor...

By Tracy L. Stepien, Eric J. Kostelich, and Yang Kuang SIAM Review, Volume 62, Issue 1, Page 244-263, January 2020. Most undergraduates have limited experience with mathematical modeling. In an effort to respond to various initiatives, such as the...

By Antônio Francisco Neto SIAM Review, Volume 62, Issue 1, Page 264-280, January 2020. In this work we introduce a new operator based approach to matrix analysis. Our main technical tool comprises an...

By Nawaf Bou-Rabee and Miranda C. Holmes-Cerfon SIAM Review, Volume 62, Issue 1, Page 164-195, January 2020. Sticky Brownian motion is the simplest example of a diffusion process that can spend finite time both in the...

By Robert M. Corless and Leili Rafiee Sevyeri SIAM Review, Volume 62, Issue 1, Page 231-243, January 2020. We look at two classical examples in the theory of numerical analysis, namely, the Runge example for interpolation and...

By Dmitry Batenkov, Laurent Demanet, Gil Goldman, and Yosef Yomdin SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 199-220, January 2020. We prove sharp lower bounds for the smallest singular value of a partial Fourier...

By Xin Xing and Edmond Chow SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 221-243, January 2020. In the construction of rank-structured matrix representations of dense kernel matrices, a heuristic compression...

By Estelle Massart and P.-A. Absil SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 171-198, January 2020. This paper explores the well-known identification of the manifold of rank $p$ positive-semidefinite matrices...

By Florent Bouchard, Bijan Afsari, Jérôme Malick, and Marco Congedo SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 152-170, January 2020. We consider the classical problem of approximate joint diagonalization of matrices, which can be...

By Jarosław Buczyński, Elisa Postinghel, and Filip Rupniewski SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 106-133, January 2020. We address the problem of the additivity of the tensor rank. That is, for...

By Volker Mehrmann and Paul M. Van Dooren SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 134-151, January 2020. We construct optimally robust port-Hamiltonian realizations of a given rational transfer function that represents...

By Sophie Hautphenne and Stefano Massei SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 29-57, January 2020. We present a new algorithm for computing the quasi-stationary distribution of subcritical Galton--Watson...

By Luis García Ramos, René Kehl, and Reinhard Nabben SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 83-105, January 2020. Deflation is a well-known technique to accelerate Krylov subspace methods for solving...

By Xiao Liu, Yuanzhe Xi, Yousef Saad, and Maarten V. de Hoop SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 58-82, January 2020. We propose an iterative solution method for the three-dimensional high-frequency Helmholtz equation that exploits...

By Yu. Nesterov and V. Yu. Protasov SIAM Journal on Matrix Analysis and Applications, Volume 41, Issue 1, Page 1-28, January 2020. The problem of finding the closest stable matrix for a dynamical system has many...

By Jane Breen and Steve Kirkland SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1555-1578, January 2019. Kemeny's constant is an interesting and useful quantifier describing the global average behavior of...

By Shenglong Hu, Defeng Sun, and Kim-Chuan Toh SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1527-1554, January 2019. In this paper, we study the polynomial optimization problem of a multiform over the...

By Ruoxi Wang, Yingzhou Li, Michael W. Mahoney, and Eric Darve SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1497-1526, January 2019. Kernel methods are widespread in machine learning; however, they are limited by the quadratic...

By Ion Necoara SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1425-1452, January 2019. The Kaczmarz algorithm is a simple iterative scheme for solving consistent linear systems....

By Claude-Pierre Jeannerod, Theo Mary, Clément Pernet, and Daniel S. Roche SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1478-1496, January 2019. We consider the LU factorization of an $n\times n$ matrix $A$ represented as a...

By Fulvio Gesmundo, Alessandro Oneto, and Emanuele Ventura SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1453-1477, January 2019. A symmetric tensor may be regarded as a partially symmetric tensor in several different...

By Mykhailo Kuian, Lothar Reichel, and Sergij Shiyanovskii SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1399-1424, January 2019. Vandermonde matrices arise frequently in computational mathematics in problems that require polynomial approximation, differentiation,...

By Christopher C. Paige SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1371-1398, January 2019. In [SIAM J. Matrix Anal. Appl., 31 (2010), pp. 2347--2359] it was shown...

By Zhenhua Lin SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1353-1370, January 2019. We present a new Riemannian metric, termed Log-Cholesky metric, on the manifold of symmetric...

By Peter Benner and Tim Mitchell SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1325-1352, January 2019. In this paper, we extend the original criss-cross algorithms for computing the $\varepsilon$-pseudospectral abscissa...

By Austin R. Benson and David F. Gleich SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1311-1324, January 2019. We present a new framework for computing $Z$-eigenvectors of general tensors based on numerically...

By Vjeran Hari SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1291-1310, January 2019. The paper considers a Jacobi method for solving the generalized eigenvalue problem $Ax=\lambda Bx$,...

By Jesse L. Barlow SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1257-1290, January 2019. New block modified Gram--Schmidt (BMGS) methods for the Q-R factorization of a full column...

By Massimiliano Fasi and Nicholas J. Higham SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 4, Page 1233-1256, January 2019. The most popular algorithms for computing the matrix exponential are those based on the...

By Sebastian Krämer SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1153-1178, January 2019. Tree tensor networks such as the tensor train (TT) format are a common tool...

By Antoine Gautier, Francesco Tudisco, and Matthias Hein SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1206-1231, January 2019. We introduce the concept of shape partition of a tensor and formulate a general...

By Antoine Gautier, Francesco Tudisco, and Matthias Hein SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1179-1205, January 2019. The Perron--Frobenius theory for nonnegative matrices has been generalized to order-preserving homogeneous mappings on...

By Xiaozhe Hu and Panayot S. Vassilevski SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1131-1152, January 2019. Algebraic multigrid (AMG) coarse spaces are commonly constructed so that they exhibit the so-called...

By Mateusz Michałek, Tim Seynnaeve, and Frank Verstraete SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1125-1130, January 2019. We prove boundedness results for the injectivity regions for projected entangled pair states. Our...

By Ron Estrin, Dominique Orban, and Michael A. Saunders SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1102-1124, January 2019. We describe LNLQ for solving the least-norm problem min $\|x\|$ subject to $Ax=b$, using...

By Michel Crouzeix and Anne Greenbaum SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1087-1101, January 2019. We extend the proof in [M. Crouzeix and C. Palencia, SIAM J. Matrix Anal....

By Paola Ferrari, Isabella Furci, Sean Hon, Mohammad Ayman Mursaleen, and Stefano Serra-Capizzano SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1066-1086, January 2019. Given a Lebesgue integrable function $f$ over $[-\pi,\pi]$, we consider the sequence of matrices...

By Yu Guan and Delin Chu SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1047-1065, January 2019. In this paper we study the orthogonal low-rank approximation problem of tensors in the...

By Dana Lahat, Christian Jutten, and Helene Shapiro SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 998-1021, January 2019. Let $\mathcal A = \{A_{ij} \}_{i, j \in \mathcal I}$, where $\mathcal I$ is...

By Michiel E. Hochstenbach, Christian Mehl, and Bor Plestenjak SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 1022-1046, January 2019. Generalized eigenvalue problems involving a singular pencil are very challenging to solve, with respect...

By Roy Mitz, Nir Sharon, and Yoel Shkolnisky SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 973-997, January 2019. Rank-one update of the spectrum of a matrix is a fundamental problem in classical...

By Daan Camps, Karl Meerbergen, and Raf Vandebril SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 943-972, January 2019. We propose a rational QZ method for the solution of the dense, unsymmetric generalized...

By Zhonggang Zeng SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 918-942, January 2019. Solving a singular linear system for an individual vector solution is an ill-posed problem...

By Mikael Sørensen and Lieven De Lathauwer SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 888-917, January 2019. Tensor decompositions play an important role in a variety of applications,...

By J. Pestana SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 870-887, January 2019. When solving linear systems with nonsymmetric Toeplitz or multilevel Toeplitz matrices using Krylov subspace...

By Wim Michiels and Bin Zhou SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 3, Page 845-869, January 2019. A delay Lyapunov matrix corresponding to an exponentially stable system of linear time-invariant delay...

By I. Ben Gharbia and J. Ch. Gilbert SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 800-813, January 2019. The paper “An Algorithmic Characterization of P-Matricity” [SIAM J. Matrix Anal. Appl., 34...

By Florian Feppon and Pierre F. J. Lermusiaux SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 814-844, January 2019. A generalization of the concepts of extrinsic curvature and Weingarten endomorphism is introduced...

By Bahar Arslan, Vanni Noferini, and Françoise Tisseur SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 774-799, January 2019. We study the structured condition number of differentiable maps between smooth matrix manifolds, extending...

By Carlos Beltrán, Paul Breiding, and Nick Vannieuwenhoven SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 739-773, January 2019. We prove the existence of an open set of $n_1\times n_2 \times n_3$ tensors...

By Luis M. Anguas, Froilán M. Dopico, Richard Hollister, and D. Steven Mackey SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 720-738, January 2019. The structural data of any rational matrix $R(\lambda)$, i.e., the structural indices of its...

By Evan S. Gawlik SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 696-719, January 2019. We construct a family of iterations for computing the principal square root of a...

By Rafikul Alam and Sk. Safique Ahmad SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 672-695, January 2019. Let $P : \Omega \subset {\mathbb C} \rightarrow {\mathbb C}^{n\times n}$ be...

By Gabriel Okša, Yusaku Yamamoto, Martin Bečka, and Marián Vajteršic SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 639-671, January 2019. We present a proof of the global and asymptotic quadratic convergence of the serial...

By Christopher Lourenco, Adolfo R. Escobedo, Erick Moreno-Centeno, and Timothy A. Davis SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 609-638, January 2019. The roundoff-error-free (REF) LU factorization, along with the REF forward and backward substitution algorithms,...

By Giulia Sacchi and Valeria Simoncini SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 542-563, January 2019. The Generalized Minimal RESidual (gmres) method is a well-established strategy for iteratively solving a...

By Ben S. Southworth SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 564-608, January 2019. Parareal and multigrid reduction in time (MGRiT) are two of the most popular parallel-in-time...

By Sabine Le Borne SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 517-541, January 2019. Radial basis function (RBF) interpolation is a powerful, meshfree tool for function approximation but...

By Jiawang Nie and Ke Ye SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 486-516, January 2019. Hankel tensors are generalizations of Hankel matrices. This article studies both the computational and...

By Liron Mor-Yosef and Haim Avron SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 454-485, January 2019. Principal component regression (PCR) is a useful method for regularizing least squares approximations. Although...

By Itziar Baragan͂a and Alicia Roca SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 440-453, January 2019. We solve the problem of determining the Weierstrass structure of a regular matrix pencil...

By Max Pfeffer, Anna Seigal, and Bernd Sturmfels SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 394-416, January 2019. Matrix congruence extends naturally to the setting of tensors. We apply methods from tensor...

By Lek-Heng Lim, Ken Sze-Wai Wong, and Ke Ye SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 371-393, January 2019. The affine Grassmannian is a noncompact smooth manifold that parameterizes all affine subspaces of...

By Emmanuel Agullo, Luc Giraud, and Louis Poirel SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 2, Page 417-439, January 2019. The solution of large sparse linear systems is one of the most time consuming...

By Marija Dodig and Marko Stošić SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 347-369, January 2019. In this paper we resolve a classical, long-standing open general matrix pencil completion problem...

By Petros Drineas and Ilse C. F. Ipsen SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 299-319, January 2019. Low-rank approximations to a real matrix $\mathbf{A}$ can be computed from $\mathbf{Z}\mathbf{Z}^T\mathbf{A}$, where $\mathbf{Z}$...

By James Hook, Jennifer Pestana, Françoise Tisseur, and Jonathan Hogg SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 320-346, January 2019. A Hungarian scaling is a diagonal scaling of a matrix that is typically applied...

By Parsiad Azimzadeh and Erhan Bayraktar SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 276-298, January 2019. We introduce high order Bellman equations, extending classical Bellman equations to the tensor setting....

By Ron Estrin, Dominique Orban, and Michael Saunders SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 235-253, January 2019. For positive definite and semidefinite consistent $Ax_\star=b$, we use the Gauss--Radau approach of Golub...

By Ron Estrin, Dominique Orban, and Michael A. Saunders SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 254-275, January 2019. We propose an iterative method named LSLQ for solving linear least-squares problems of any...

By Mustafa Ç Pinar SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 194-209, January 2019. The problem of exact recovery of an individual sparse vector using the Basis Pursuit...

By Jared L. Aurentz, Anthony P. Austin, Michele Benzi, and Vassilis Kalantzis SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 210-234, January 2019. Generalized matrix functions (GMFs) extend the concept of a matrix function to rectangular matrices...

By Diego Armentano and Carlos Beltrán SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 175-193, January 2019. We compute the exact expected value of the squared condition number for the polynomial...

By Jürgen Dölz, Helmut Harbrecht, and Michael D. Multerer SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 147-174, January 2019. The multiplication of matrices is an important arithmetic operation in computational mathematics. In the...

By Yvan Notay SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 122-146, January 2019. We consider the iterative solution of linear systems with a symmetric saddle point system...

By Ivan Dokmanić and Rémi Gribonval SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 92-121, January 2019. In many applications it is useful to replace the Moore--Penrose pseudoinverse (MPP) by a...

By Hussam Al Daas and Laura Grigori SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 66-91, January 2019. In this paper we present a class of robust and fully algebraic two-level preconditioners...

By Katherine Fitch SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 49-65, January 2019. This work presents a new method for symmetrization of directed graphs that constructs an...

By Arvind K. Saibaba SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 23-48, January 2019. This paper analyzes the randomized subspace iteration for the computation of low-rank approximations. We...

By Eleonora Andreotti, Dominik Edelmann, Nicola Guglielmi, and Christian Lubich SIAM Journal on Matrix Analysis and Applications, Volume 40, Issue 1, Page 1-22, January 2019. A novel algorithmic approach is presented for the problem of partitioning a connected undirected...

By Srikara Pranesh
Floating-point arithmetic is fundamental to scientific computing and lies at the heart of almost all numerical computations. The 1985 IEEE standard 754 for floating-point ...

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 1987, the prize is awarded to the author or authors of the most outstanding paper on a topic in applicable linear algebra published in English in a peer-reviewed journal.

Established in 2017, the prize is awarded every three years to a post-PhD early career researcher for recent research contributions in the field of applicable linear algebra.

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.

Established in 1967, the prize honors Norbert Wiener, a founder of the field of cybernetics. The prize is awarded every three years by SIAM and the American Mathematical Society (AMS) for an outstanding contribution to applied mathematics. Nominations can be submitted via the AMS 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.

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.

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.

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.

The prize recognizes students for outstanding solutions to real world math problems. It is awarded to two 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 Prizes bring attention to papers published in SIAM journals. Three awards are 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.

SIAM Journal on Matrix Analysis and Applications (SIMAX) contains research articles and papers of interest to the numerical linear algebra community. SIMAX also contains papers that are of a theoretical nature but have a possible impact on applications.

Multiscale Modeling & Simulation
SIAM J. on Applied Algebra and Geometry
SIAM J. on Applied Dynamical Systems
SIAM J. on Applied Mathematics
SIAM J. on Computing
SIAM J. on Control and Optimization
SIAM J. on Discrete Mathematics
SIAM J. on Financial Mathematics
SIAM J. on Imaging Sciences
SIAM J. on Mathematical Analysis
SIAM J. on Matrix Analysis and Applications
SIAM J. on Numerical Analysis
SIAM J. on Optimization
SIAM J. on Scientific Computing
SIAM/ASA J. on Uncertainty Quantification
SIAM Review
Theory of Probability & Its Applications

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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.