A SIAM Interdisciplinary Journal centered around Multiscale Phenomena, Multiscale Modeling and Simulation (MMS) is an interdisciplinary journal focusing on the fundamental modeling and computational principles underlying various multiscale methods.

MMS bridges the growing gap in communication between mathematics, chemistry, physics, engineering, computer science, environmental science, and more.

SIAM Journal on Applied Algebra and Geometry (SIAGA) publishes research articles of exceptional quality on the development of algebraic, geometric, and topological methods with strong connection to applications. Areas from mathematics that are covered include algebraic geometry, algebraic and topological combinatorics, algebraic topology, commutative and noncommutative algebra, convex and discrete geometry, differential geometry, multilinear and tensor algebra, number theory, representation theory, symbolic and numerical computation. Application areas include biology, coding theory, complexity theory, computer graphics, computer vision, control theory, cryptography, data science, game theory and economics, geometric design, machine learning, optimization, quantum computing, robotics, social choice, and statistics.

SIAM Journal on Applied Dynamical Systems (SIADS) publishes research articles on the mathematical analysis and modeling of dynamical systems and its application to the physical, engineering, life, and social sciences. SIADS is published in electronic format only. The use of color, animated

SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest.

Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory.

Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.

SIAM Journal on Computing (SICOMP) aims to provide coverage of the most significant work going on in the mathematical and formal aspects of computer science and nonnumerical computing. Submissions must be clearly written and make a significant technical contribution.

Topics include but are not limited to analysis and design of algorithms, algorithmic game theory, data structures, computational complexity, computational algebra, computational aspects of combinatorics and graph theory, computational biology, computational geometry, computational robotics, the mathematical aspects of programming languages, artificial intelligence, computational learning, databases, information retrieval, cryptography, networks, distributed computing, parallel algorithms, and computer architecture.

SIAM Journal on Control and Optimization (SICON) contains research articles on the mathematics and applications of control theory and on those parts of optimization theory concerned with the dynamics of deterministic or stochastic systems in continuous or discrete time or otherwise dealing with differential equations, dynamics, infinite-dimensional spaces, or fundamental issues in variational analysis and geometry.

SIAM Journal on Discrete Mathematics (SIDMA) publishes research articles on a broad range of topics from pure and applied mathematics including combinatorics and graph theory, discrete optimization and operations research, theoretical computer science, and coding and communication theory.

SIAM Journal on Financial Mathematics (SIFIN) addresses theoretical developments in financial mathematics as well as breakthroughs in the computational challenges they encompass.

The journal provides a common platform for scholars interested in the mathematical theory of finance as well as practitioners interested in rigorous treatments of the scientific computational issues related to implementation.

On the theoretical side, the journal publishes articles with demonstrable mathematical developments motivated by models of modern finance. On the computational side, it publishes articles introducing new methods and algorithms representing significant (as opposed to incremental) improvements on the existing state of affairs of modern numerical implementations of applied financial mathematics.

SIAM Journal on Imaging Sciences (SIIMS) focuses on conceptually new ideas, methods, and fundamentals as applied to all aspects of imaging sciences.
SIIMS provides a broad authoritative source for fundamental results in imaging sciences, with a unique combination of mathematics and applications. SIIMS is mathematically and computationally based, and offers a unique forum to highlight the commonality of methodology, models, and algorithms among diverse application areas of imaging sciences.
SIIMS covers all areas of imaging sciences, broadly interpreted. It includes image formation, image processing, image analysis, image interpretation and understanding, computer graphics and visualisation, imaging-related machine learning, and inverse problems in imaging; leading to applications to diverse areas in science, medicine, engineering, and other fields.

SIAM Journal on Mathematical Analysis (SIMA) features research articles of the highest quality employing innovative analytical techniques to treat problems in the natural sciences. Every paper has content that is primarily analytical and that employs mathematical methods in such areas as partial differential equations, the calculus of variations, functional analysis, approximation theory, harmonic or wavelet analysis, or dynamical systems.

SIAM Journal on Mathematics of Data Science (SIMODS) publishes work that advances mathematical, statistical, and computational methods in the context of data and information sciences.

SIAM Journal on Matrix Analysis and Applications (SIMAX) publishes research papers on matrix and tensor theory, analysis, applications, and computation that are of interest to the applied and numerical linear algebra communities.

SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms.

SIAM Journal on Optimization (SIOPT) contains research articles on the theory and practice of optimization.

The areas addressed include linear and quadratic programming, convex programming, nonlinear programming, complementarity problems, stochastic optimization, combinatorial optimization, integer programming, and convex, nonsmooth, and variational analysis.

SIAM Journal on Scientific Computing (SISC) contains research articles on numerical methods and techniques for scientific computation. Papers in this journal address computational issues relevant to the solution of scientific or engineering problems and include computational results demonstrating the effectiveness of the proposed techniques.

SIAM/ASA Journal on Uncertainty Quantification (JUQ) publishes research articles presenting significant mathematical, statistical, algorithmic, and application advances in uncertainty quantification, defined as the interface of complex modeling of processes and data, especially characterizations of the uncertainties inherent in the use of such models.

Theory of Probability and its Applications (TVP) is a translation of the Russian journal Teoriya Veroyatnostei i ee Primeneniya, which contains papers on the theory and application of probability, statistics, and stochastic processes.

SIAM proceedings bring you original, peer-reviewed research from conferences and meetings held annually. Proceedings are easily accessible and can date back as far as 2001.

LOCUS, SIAM’s journal backfile archive, contains nearly 21,000 articles published from the journals’ inception to 1996. This deep archive remains highly relevant in the field of applied mathematics, and accounts for a large portion of your researchers’ required content.