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.

Upcoming Conferences

SIAM Conference on Computational Science and Engineering (CSE19)

February 25 - March 1, 2019 Spokane, Washington, USA More Information

SIAM International Conference on Data Mining (SDM19)

May 2 - 4, 2019 Calgary, Alberta, Canada More Information

SIAM Conference on Applications of Dynamical Systems (DS19)

May 19 - 23, 2019 Snowbird, Utah, U.S. More Information

SIAM Workshop on Network Science (NS19)

May 22 - 23, 2019 Snowbird, Utah, U.S. More Information

SIAM Conference on Financial Mathematics & Engineering (FM19)

June 4 - 7, 2019 Toronto, Ontario, Canada More Information

Collaborative Workshop for Women in Mathematical Biology (WIMB 2019)

June 17 - 21, 2019 Los Angeles, California, U.S. More Information

Gene Golub SIAM Summer School 2019: High Performance Data Analytics

June 17 - 28, 2019 Aussois, France More Information

SIAM Conference on Control and Its Applications (CT19)

June 19 - 21, 2019 Chengdu, China More Information

SIAM Conference on Applied Algebraic Geometry (AG19)

July 9 - 13, 2019 Bern, Switzerland More Information

9th International Congress on Industrial and Applied Mathematics (ICIAM 2019)

July 15 - 19, 2019 Valencia, Spain More Information

SIAM Conference on Analysis of Partial Differential Equations (PD19)

December 11 - 14, 2019 La Quinta, California, U.S. More Information

ACM-SIAM Symposium on Discrete Algorithms (SODA20)

January 5 - 8, 2020 Salt Lake City, Utah, U.S. More Information

Algorithm Engineering and Experiments (ALENEX20)

January 5 - 6, 2020 Salt Lake City, Utah, U.S. More Information

SIAM Conference on Optimization (OP20)

May 26 - 29, 2020 The Hong Kong Polytechnic University More Information

SIAM Conference on Imaging Science (IS20)

July 6 - 9, 2020 Toronto, Ontario, Canada More Information

SIAM Conference on Applications of Dynamical Systems (DS21)

May 23 - 27, 2021 Portland, Oregon, U.S. More Information

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.

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 Martin J. Gander and Hui Zhang SIAM Review, Volume 61, Issue 1, Page 3-76, January 2019. Solving time-harmonic wave propagation problems by iterative methods is a difficult task, and over the last two decades an...

By Eddie Nijholt, Bob Rink, and Jan Sanders SIAM Review, Volume 61, Issue 1, Page 121-155, January 2019. Many systems in science and technology are networks: they consist of nodes with connections between them. Examples include electronic...

By Gjerrit Meinsma SIAM Review, Volume 61, Issue 1, Page 159-184, January 2019. A complete theory of dimensional and scaling analysis is presented and its power is demonstrated through a series of...

By Simone Carlo Surace, Anna Kutschireiter, and Jean-Pascal Pfister SIAM Review, Volume 61, Issue 1, Page 79-91, January 2019. Particle filters are a popular and flexible class of numerical algorithms to solve a large class of nonlinear filtering...

By Peter G. Fennell and James P. Gleeson SIAM Review, Volume 61, Issue 1, Page 92-118, January 2019. Multistate dynamical processes on networks, where nodes can occupy one of a multitude of discrete states, are gaining widespread...

By Silviu Filip, Aurya Javeed, and Lloyd N. Trefethen SIAM Review, Volume 61, Issue 1, Page 185-205, January 2019. The usual way in which mathematicians work with randomness is by a rigorous formulation of the idea of Brownian...

By Darinka Dentcheva SIAM Review, Volume 61, Issue 1, Page 157-158, January 2019. In this issue, the Education section of SIAM Review presents two papers. The first is “Dimensional and Scaling Analysis,”...

By Misha E. Kilmer SIAM Review, Volume 61, Issue 1, Page 77-77, January 2019. Short and to the point, “How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and...

By Volker H. Schulz SIAM Review, Volume 61, Issue 1, Page 209-225, January 2019. This time, the Book Reviews section has a large portion of reviews on books devoted to applications---in particular medical...

By J. M. Sanz-Serna SIAM Review, Volume 61, Issue 1, Page 1-1, January 2019. The Survey and Review article in this issue is “A Class of Iterative Solvers for the Helmholtz Equation: Factorizations,...

By The Editors SIAM Review, Volume 61, Issue 1, Page 119-119, January 2019. Over the last fifteen years, SIAM Review has published a range of articles in the general area of network...

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 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 Martin J. Gander and Hui Zhang SIAM Review, Volume 61, Issue 1, Page 3-76, January 2019. Solving time-harmonic wave propagation problems by iterative methods is a difficult task, and over the last two decades an...

By Eddie Nijholt, Bob Rink, and Jan Sanders SIAM Review, Volume 61, Issue 1, Page 121-155, January 2019. Many systems in science and technology are networks: they consist of nodes with connections between them. Examples include electronic...

By Gjerrit Meinsma SIAM Review, Volume 61, Issue 1, Page 159-184, January 2019. A complete theory of dimensional and scaling analysis is presented and its power is demonstrated through a series of...

By Simone Carlo Surace, Anna Kutschireiter, and Jean-Pascal Pfister SIAM Review, Volume 61, Issue 1, Page 79-91, January 2019. Particle filters are a popular and flexible class of numerical algorithms to solve a large class of nonlinear filtering...

By Peter G. Fennell and James P. Gleeson SIAM Review, Volume 61, Issue 1, Page 92-118, January 2019. Multistate dynamical processes on networks, where nodes can occupy one of a multitude of discrete states, are gaining widespread...

By Silviu Filip, Aurya Javeed, and Lloyd N. Trefethen SIAM Review, Volume 61, Issue 1, Page 185-205, January 2019. The usual way in which mathematicians work with randomness is by a rigorous formulation of the idea of Brownian...

By Darinka Dentcheva SIAM Review, Volume 61, Issue 1, Page 157-158, January 2019. In this issue, the Education section of SIAM Review presents two papers. The first is “Dimensional and Scaling Analysis,”...

By Misha E. Kilmer SIAM Review, Volume 61, Issue 1, Page 77-77, January 2019. Short and to the point, “How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and...

By Volker H. Schulz SIAM Review, Volume 61, Issue 1, Page 209-225, January 2019. This time, the Book Reviews section has a large portion of reviews on books devoted to applications---in particular medical...

By J. M. Sanz-Serna SIAM Review, Volume 61, Issue 1, Page 1-1, January 2019. The Survey and Review article in this issue is “A Class of Iterative Solvers for the Helmholtz Equation: Factorizations,...

By The Editors SIAM Review, Volume 61, Issue 1, Page 119-119, January 2019. Over the last fifteen years, SIAM Review has published a range of articles in the general area of network...

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 Ruoxi Wang, Yingzhou Li, and Eric Darve SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1810-1835, January 2018. Low-rank approximations are popular methods to reduce the high computational cost of algorithms involving...

By Larissa Garvey, Chang Meng, and James G. Nagy SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1836-1857, January 2018. In this paper we propose an approach to approximate a truncated singular value decomposition...

By Emre Mengi SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1776-1809, January 2018. The larger the distance to instability from a matrix is, the more robustly stable...

By Emmanuel Agullo, Eric Darve, Luc Giraud, and Yuval Harness SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1701-1725, January 2018. We consider the problem of choosing low-rank factorizations in data sparse matrix approximations for...

By Sébastien Loisel and Peter Maxwell SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1726-1749, January 2018. We describe a novel and efficient algorithm for calculating the field of values boundary,...

By Arnab Ghosh and Rafikul Alam SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1750-1775, January 2018. We present a general framework for the sensitivity and backward perturbation analysis of linear...

By A. Amparan, F. M. Dopico, S. Marcaida, and I. Zaballa SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1670-1700, January 2018. This paper defines for the first time strong linearizations of arbitrary rational matrices, studies...

By Nicola Guglielmi and Vladimir Yu. Protasov SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1642-1669, January 2018. We consider the problem of computing the closest stable/unstable nonnegative matrix to a given...

By Yuehua Feng, Jianwei Xiao, and Ming Gu SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1616-1641, January 2018. The Bunch--Parlett algorithm, the Bunch--Kaufman algorithm, the bounded Bunch--Kaufman algorithm, and Aasen's algorithm are...

By Stefano Massei, Davide Palitta, and Leonardo Robol SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1564-1590, January 2018. We consider the problem of efficiently solving Sylvester and Lyapunov equations of medium and...

By Nicola Mastronardi and Paul Van Dooren SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1591-1615, January 2018. In this paper we revisit the problem of performing a $QR$ step on an...

By Weiwei Xu, Hong-Kui Pang, Wen Li, Xueping Huang, and Wenjie Guo SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1547-1563, January 2018. In this paper we provide the explicit expression and sharper bounds of the chordal...

By Stefano Pozza and Francesco Tudisco SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 4, Page 1521-1546, January 2018. Identifying important components in a network is one of the major goals of...

By C. Mehl, V. Mehrmann, and M. Wojtylak SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1489-1519, January 2018. A wide class of matrix pencils connected with dissipative Hamiltonian descriptor systems is investigated....

By Evan S. Gawlik, Yuji Nakatsukasa, and Brian D. Sutton SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1448-1469, January 2018. We introduce a backward stable algorithm for computing the CS decomposition of a partitioned...

By Fredrik Andersson and Marcus Carlsson SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1470-1488, January 2018. We present a method for complex frequency estimation in several variables, extending the classical...

By Simon Telen, Bernard Mourrain, and Marc Van Barel SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1421-1447, January 2018. We consider the problem of finding the isolated common roots of a set of...

By Pietro Benedusi, Carlo Garoni, Rolf Krause, Xiaozhou Li, and Stefano Serra-Capizzano SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1383-1420, January 2018. The multidimensional heat equation, along with its more general version known as the (linear)...

By Yunfeng Cai, Lei-Hong Zhang, Zhaojun Bai, and Ren-Cang Li SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1360-1382, January 2018. We first provide existence and uniqueness conditions for the solvability of an algebraic eigenvalue...

By Wenjian Yu, Yu Gu, and Yaohang Li SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1339-1359, January 2018. Randomized algorithms for low-rank matrix approximation are investigated, with the emphasis on the fixed-precision...

By Erin C. Carson SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1318-1338, January 2018. The performance of Krylov subspace methods on large-scale parallel computers is often limited by...

By Eric Hallman and Ming Gu SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1295-1317, January 2018. An iterative method, LSMB, is given for solving $\min_x \|Ax-b\|_2$. LSMB is based on...

By Zvonimir Bujanović, Lars Karlsson, and Daniel Kressner SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1270-1294, January 2018. The QZ algorithm for computing eigenvalues and eigenvectors of a matrix pencil $A -...

By Jared L. Aurentz, Thomas Mach, Leonardo Robol, Raf Vandebril, and David S. Watkins SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1245-1269, January 2018. This work is a continuation of work by [J. L. Aurentz, T. Mach, R....

By Kim Batselier, Wenjian Yu, Luca Daniel, and Ngai Wong SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1221-1244, January 2018. We propose a new algorithm for the computation of a singular value decomposition (SVD)...

By John T. Holodnak, Ilse C. F. Ipsen, and Ralph C. Smith SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1208-1220, January 2018. Given a real symmetric positive semidefinite matrix $E$, and an approximation $S$ that is...

By Jiang Hu, Andre Milzarek, Zaiwen Wen, and Yaxiang Yuan SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1181-1207, January 2018. Optimization on Riemannian manifolds widely arises in eigenvalue computation, density functional theory, Bose--Einstein condensates,...

By Zlatko Drmač and Arvind Krishna Saibaba SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1152-1180, January 2018. New contributions are offered to the theory and numerical implementation of the discrete empirical...

By Fernando De Terán SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1116-1134, January 2018. The sets of $n\times n$ $\top$-palindromic, $\top$-antipalindromic, $\top$-even, and $\top$-odd matrix pencils with rank...

By Satoru Iwata and Mizuyo Takamatsu SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1135-1151, January 2018. This paper presents an algorithm for transforming a matrix pencil $A(s)$ into another matrix...

By Ariel Jaffe, Roi Weiss, and Boaz Nadler SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1071-1094, January 2018. Real eigenpairs of symmetric tensors play an important role in multiple applications. In this...

By Yu Guan, Moody T. Chu, and Delin Chu SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 3, Page 1095-1115, January 2018. This paper revisits the problem of finding the best rank-1 approximation to a symmetric...

By Klaus Neymeyr and Mathias Sawall SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 1049-1069, January 2018. The nonnegative matrix factorization (NMF) problem $D=XY^T$ for a given nonnegative matrix $D$ and...

By Peter Benner, Pawan Goyal, and Serkan Gugercin SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 983-1032, January 2018. We investigate the optimal model reduction problem for large-scale quadratic-bilinear (QB) control systems. Our...

By Keiichi Morikuni and Miroslav Rozložník SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 1033-1048, January 2018. In this contribution, we study the numerical behavior of the generalized minimal residual (GMRES)...

By Serge Gratton and David Titley-Peloquin SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 922-931, January 2018. We derive improved error bounds for small-sample statistical estimation of the matrix Frobenius norm....

By Fatemeh Panjeh Ali Beik and Michele Benzi SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 902-921, January 2018. We consider the iterative solution of a class of linear systems with double saddle...

By Daniel Drzisga, Lorenz John, Ulrich Rüde, Barbara Wohlmuth, and Walter Zulehner SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 932-960, January 2018. We discuss several Uzawa-type iterations as smoothers in the context of multigrid schemes for...

By Daniel Kressner, Ding Lu, and Bart Vandereycken SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 961-982, January 2018. This paper is concerned with subspace acceleration techniques for computing the Crawford number, that...

By Casey Battaglino, Grey Ballard, and Tamara G. Kolda SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 876-901, January 2018. The CANDECOMP/PARAFAC (CP) decomposition is a leading method for the analysis of multiway data....

By Junjun Pan and Michael K. Ng SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 856-875, January 2018. In this paper, we study orthogonal nonnegative matrix factorization. We demonstrate the coefficient matrix...

By Xin Xing and Edmond Chow SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 829-855, January 2018. Given a symmetric positive definite (s.p.d.) matrix, two methods are proposed for directly constructing...

By Jeffrey Uhlmann SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 781-800, January 2018. A new generalized matrix inverse is derived which is consistent with respect to arbitrary...

By Evan S. Gawlik and Melvin Leok SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 801-828, January 2018. We derive a family of high-order, structure-preserving approximations of the Riemannian exponential map on...

By Trevor Caldwell, Anne Greenbaum, and Kenan Li SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 769-780, January 2018. In [SIAM J. Matrix Anal. Appl., 38 (2017), pp. 649--655], Crouzeix and Palencia show...

By Bernhard Beckermann, Clara Mertens, and Raf Vandebril SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 737-768, January 2018. Matrices whose adjoint is a low-rank perturbation of a rational function of the matrix...

By Daniel Ruiz, Annick Sartenaer, and Charlotte Tannier SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 712-736, January 2018. Efficiently solving saddle point systems like Karush--Kuhn--Tucker (KKT) systems is crucial for many algorithms...

By Meiyue Shao, Felipe H. da Jornada, Lin Lin, Chao Yang, Jack Deslippe, and Steven G. Louie SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 683-711, January 2018. We present a new structure preserving Lanczos algorithm for approximating the optical absorption spectrum...

By Sirani M. Perera and Jianhua Liu SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 664-682, January 2018. This paper presents the lowest multiplication complexity, self-recursive, radix-2 DCT II/III algorithms for any...

By Mehdi S. Mousavi and Hristo S. Sendov SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 632-663, January 2018. We propose and investigate a family of maps from the space of $n \times...

By Lei-Hong Zhang, Chungen Shen, Wei Hong Yang, and Joaquim J. Júdice SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 611-631, January 2018. In this paper, we are concerned with an efficient algorithm for solving the extreme...

By Rafikul Alam and Namita Behera SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 587-610, January 2018. We introduce generalized Fiedler (GF) pencils for an $n\times n$ rational matrix function $G(\lambda)$...

By Petros Drineas, Ilse C. F. Ipsen, Eugenia-Maria Kontopoulou, and Malik Magdon-Ismail SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 2, Page 567-586, January 2018. This paper is concerned with approximating the dominant left singular vector space of a...

By Florian Feppon and Pierre F. J. Lermusiaux SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 510-538, January 2018. Any model order reduced dynamical system that evolves a modal decomposition to approximate the...

By Bernhard Beckermann, Daniel Kressner, and Marcel Schweitzer SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 539-565, January 2018. We consider the task of updating a matrix function $f(A)$ when the matrix $A\in\mathbb{C}^{n...

By Howard C. Elman and Tengfei Su SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 492-509, January 2018. We study a multigrid method for solving large linear systems of equations with tensor...

By Massimiliano Fasi and Nicholas J. Higham SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 472-491, January 2018. Two algorithms are developed for computing the matrix logarithm in floating point arithmetic of...

By Valentin Khrulkov and Ivan Oseledets SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 451-471, January 2018. The conventional ways to solve optimization problems on low-rank matrix sets which appear in...

By Zhening Li, Yuji Nakatsukasa, Tasuku Soma, and André Uschmajew SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 400-425, January 2018. As is well known, the smallest possible ratio between the spectral norm and the...

By Christer Glader, Mikael Kurula, and Mikael Lindström SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 346-364, January 2018. Crouzeix stated the following conjecture in [Integral Equations Operator Theory, 48 (2004), pp. 461-477]:...

By Michael Stewart SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 365-399, January 2018. This paper describes a method that can be used either to compute exactly or...

By Thomas Ransford and Felix L. Schwenninger SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 342-345, January 2018. Crouzeix and Palencia recently showed that the numerical range of a Hilbert-space operator is...

By Peter Grindrod, Desmond J. Higham, and Vanni Noferini SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 310-341, January 2018. We introduce and study a new network centrality measure based on the concept of...

By Luis García Ramos and Reinhard Nabben SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 262-286, January 2018. The deflation technique for accelerating Krylov subspace iterative methods for the solution of linear...

By Paul Breiding and Nick Vannieuwenhoven SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 287-309, January 2018. The join set of a finite collection of smooth embedded submanifolds of a mutual...

By Ralf Zimmermann, Benjamin Peherstorfer, and Karen Willcox SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 234-261, January 2018. In many scientific applications, including model reduction and image processing, subspaces are used as...

By Vu Hoang Linh, Ngo Thi Thanh Nga, and Do Duc Thuan SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 204-233, January 2018. In this paper, solvability, stability, and robust stability of linear time-varying singular systems of...

By Massimiliano Fasi and Bruno Iannazzo SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 178-203, January 2018. We investigate different approaches for computing the action of the weighted geometric mean of...

By Yuji Nakatsukasa, Leo Taslaman, Françoise Tisseur, and Ion Zaballa SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 148-177, January 2018. A square matrix can be reduced to simpler form via similarity transformations. Here “simpler...

By Andrea Franceschini, Victor Antonio Paludetto Magri, Massimiliano Ferronato, and Carlo Janna SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 123-147, January 2018. The use of factorized sparse approximate inverse (FSAI) preconditioners in a standard multilevel framework...

By Simon Foucart SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 99-103, January 2018. We propose a simple proof of a generalized Mirsky inequality comparing the differences of...

By Anna Ma, Deanna Needell, and Aaditya Ramdas SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 104-122, January 2018. Stochastic iterative algorithms such as the Kaczmarz and Gauss--Seidel methods have gained recent attention...

By Balázs Gerencsér, Vladimir V. Gusev, and Raphaël M. Jungers SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 83-98, January 2018. A set of nonnegative matrices $\mathcal{M}=\{M_1, M_2, \ldots, M_k\}$ is called primitive if there...

By Fatih Kangal, Karl Meerbergen, Emre Mengi, and Wim Michiels SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 48-82, January 2018. We consider the minimization or maximization of the $J$th largest eigenvalue of an analytic...

By Daniel Kressner and Robert Luce SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 23-47, January 2018. The computation of the matrix exponential is a ubiquitous operation in numerical mathematics, and...

By Jianze Li, Konstantin Usevich, and Pierre Comon SIAM Journal on Matrix Analysis and Applications, Volume 39, Issue 1, Page 1-22, January 2018. In this paper, we consider a family of Jacobi-type algorithms for a simultaneous orthogonal...

By Per-Gunnar Martinsson
The management and analysis of large complex datasets give rise to mathematical and algorithmic challenges that have intrigued applied mathematicians in recent years. ...

Congratulations to these four SIAM members who were recently awarded the SIAM Activity Group on Life Sciences Early Career Prize, SIAM Activity Group on Linear Algebra Best Paper Prize, SIAM ...

By Paul Davis
The John von Neumann Lecture is among SIAM’s oldest and most prestigious prizes, recognizing “outstanding and distinguished contributions to the field of applied mathematics.” ...

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.

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 lecture is awarded annually for distinguished contributions to applied mathematics and for the effective communication of these ideas to the community.

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, 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.

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.

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 will be awarded for the first time 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.

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.

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.

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.

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 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 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.

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

General Opportunities

We know it can be overwhelming to keep track of career opportunities that may be relevant to you as a member of the SIAM community. So, we’ve compiled lists of some of our favorite fellowship, internship, and research opportunities. Check ‘em out!

Looking for financial support to further your research? Fellowships often provide funding plus experiential learning opportunities to young researchers. Learn more about fellowship opportunities.

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.