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Elsevier

Journals in Mathematics

The Mathematics collection presents a range of foundational and advanced research content across applied and discrete mathematics, including fields such as Computational Mathematics; Differential Equations; Linear Algebra; Modelling & Simulation; Numerical Analysis; Probability & Statistics.

  • Nonlinear Analysis: Hybrid Systems

    • ISSN: 1751-570X
    A journal of IFAC, the International Federation of Automatic ControlNonlinear Analysis: Hybrid Systems (NAHS) welcomes all original research papers on mathematical concepts, tools, and techniques from control theory, computer science, and applied mathematics for the modelling, analysis and design of hybrid dynamical systems, i.e., systems involving the interplay between discrete and continuous dynamic behaviors.Hybrid systems are ubiquitous in many branches of engineering and science as they can model broad ranges of dynamical systems. In particular, in cyber-physical systems, which integrate sensing, computation, control and communication (cyber) parts into physical objects and infrastructures, hybrid systems play an instrumental role. The description of the behavior of the cyber parts often calls for discrete models (automata, finite-state machines, switching logic, etc.), while the physical (thermal, mechanical, electrical, physical, biological) parts are well captured by continuous modelling formalisms (e.g., differential equations), thereby naturally resulting in hybrid system models such as (stochastic) hybrid automata, timed automata, switched systems, impulsive systems, jump-flow models, piecewise affine systems, non-smooth systems, etc. Also, many physical phenomena can often be well described by non-smooth or hybrid models, including mechanical systems with impacts and friction (walking robots), switched power converters and biological systems (e.g., firing neuron models).Hybrid systems can exhibit very rich dynamics and their analysis calls for new and strong theorical foundations to guarantee their stability, safety, functionality, and performance. The development of systematic methods for efficient and reliable design of hybrid systems is therefore a key challenge on the crossroads of control theory and computer science. It is currently of high interest to control engineers, computer scientists and mathematicians in research institutions as well as in many industrial sectors.Contribution... to Nonlinear Analysis: Hybrid Systems are invited in all areas pertaining to hybrid dynamical systems including: Modeling, modeling languages and specification;Analys... computability and complexity;Stochasti... hybrid systems;Impulsive systems;Formal verification and abstraction;Optimiza... and controller synthesis;Control over communication networks including self- and event-triggered control;Network Science and multi-agent systems;Fault diagnosis and fault-tolerant control;Simulation, implementation and tools;Safety, security, privacy, and resilience for cyber-physical systems;Planning and integrated control in dynamical systems.Contribution... on applications of hybrid dynamical systems methods are also encouraged. Fields of interest include: process and manufacturing industries, automotive and mobility systems, avionics, communication networks and networked control systems, energy and power systems, transportation networks, cyber-physical and embedded systems, (synthetic) biology and biomedical applications, life sciences, safety-critical systems, mobile and autonomous robotics, and other related areas.
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  • Computational Geometry

    • ISSN: 0925-7721
    Theory and ApplicationsComputat... Geometry is a forum for research in theoretical and applied aspects of computational geometry. The journal publishes fundamental research in all areas of the subject, as well as disseminating information on the applications, techniques, and use of computational geometry. Computational Geometry publishes articles on the design and analysis of geometric algorithms. All aspects of computational geometry are covered, including the numerical, graph theoretical, combinatorial and computational topology aspects. Also welcomed are computational geometry solutions to fundamental problems arising in computer graphics, pattern recognition, robotics, image processing, CAD-CAM, VLSI design and geographical information systems.Computationa... Geometry features a special section containing open problems and concise reports on implementations of computational geometry tools.This journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.
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  • Journal of Symbolic Computation

    • ISSN: 0747-7171
    An international journal, the Journal of Symbolic Computation, founded by Bruno Buchberger in 1985, is directed to mathematicians and computer scientists who have a particular interest in symbolic computation. The journal provides a forum for research in the algorithmic treatment of all types of symbolic objects: objects in formal languages (terms, formulas, programs); algebraic objects (elements in basic number domains, polynomials, residue classes, etc.); and geometrical objects.It is the explicit goal of the journal to promote the integration of symbolic computation by establishing one common avenue of communication for researchers working in the different subareas. It is also important that the algorithmic achievements of these areas should be made available to the human problem-solver in integrated software systems for symbolic computation. To help this integration, the journal publishes invited tutorial surveys as well as Applications Letters and System Descriptions.Researc... Areas Include:Computationa... algebra Computational geometry (non-linear) Automated theorem proving Automatic programming Design and implementation of symbolic computation languages and systems Applications in education, science, engineering and industryThis journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.
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  • Physica A: Statistical Mechanics and its Applications

    • ISSN: 0378-4371
    Physica A: Statistical Mechanics and its Applications publishes high-quality fundamental and applied research in the field of statistical physics. The journal emphasizes the development and application of statistical mechanics methods to understand the behavior of microscopic, mesoscopic, and macroscopic systems across diverse disciplines.Research articles should explicitly utilize concepts, models, and techniques from statistical mechanics to address relevant problems. Applied studies are welcome when they demonstrate clear connections to statistical physics principles.Applicati... Domains (with emphasis on statistical mechanics)Soft Matter and Condensed Matter: Statistical mechanics of colloids, polymers, glasses, and complex fluids.Biological Systems and Biophysics: Statistical mechanics-based studies of cellular processes, biological signaling, noise, fluctuations, and systems biology.Chemical Systems: Statistical mechanics approaches to reaction kinetics, phase transitions, and molecular interactions.Complex Networks and Systems: Applications of statistical mechanics to socio-economic networks, financial markets, agent-based models, systemic risk, and the science of science.Interdiscipl... and Social Sciences: Models and analyses of economic and social systems, cultural and political complexity, and computational social science grounded in statistical mechanics principles.Traffic, Transportation, and Collective Dynamics: Statistical mechanics frameworks for vehicular traffic, pedestrian and evacuation dynamics, swarm behavior, intracellular transport, and models of collective motion.Phase Transitions and Critical Phenomena: Theoretical and experimental investigations of phase behavior and critical phenomena utilizing statistical mechanics methods.Artificial Intelligence and Data-Driven Methods: Applications to deep learning, genetic algorithms, and other AI techniques that explicitly incorporate concepts and methods of statistical mechanics.Other Interdisciplinary Areas: Novel insights and modeling approaches where statistical physics provides a foundational framework.Subfields CoveredThe journal welcomes submissions using statistical mechanics in the following subfields:Soft matterBiological systems and systems biologyChemical systemsEconophysics and sociophysicsTraffic and transportation systemsPhase transitions and critical phenomenaComplex systemsAI applications grounded in statistical mechanics approachesDomains Not CoveredPhysica A does not publish research primarily focused on:General physics outside the scope of statistical mechanics.Pure mathematical statistics, statistical applications, or mathematical methods unrelated to statistical physics.Mechanics, fluid mechanics, or mechanical engineering.Economic or econometric studies that do not explicitly employ statistical mechanics frameworks.
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  • Journal of Process Control

    • ISSN: 0959-1524
    A journal of IFAC, the International Federation of Automatic ControlThis international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others.Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques.Topics covered include:• Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methodsAdvanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.For more details on the International Federation of Automatic Control (IFAC), access their home page.
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  • Advances in Engineering Software

    • ISSN: 0965-9978
    Aerospace • Civil • Environmental • Mechanical and Structural EngineeringIncluding Computing Systems in EngineeringThe objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliabilityThe journal publishes research papers, survey papers on key application areas, short communications and technical notes, discussions, software reviews and book reviews. A conference calendar is also included – entries welcome.Related conferences are listed under 'Related publications'.
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  • Nonlinear Analysis: Real World Applications

    • ISSN: 1468-1218
    Nonlinear Analysis: Real World Applications welcomes all research articles of the highest quality with special emphasis on applying techniques of nonlinear analysis to model and to treat nonlinear phenomena with which nature confronts us. Coverage of applications includes any branch of science and technology such as solid and fluid mechanics, material science, mathematical biology and chemistry, control theory, and inverse problems.The aim of Nonlinear Analysis: Real World Applications is to publish articles which are predominantly devoted to employing methods and techniques from analysis, including partial differential equations, functional analysis, dynamical systems and evolution equations, calculus of variations, and bifurcations theory.Two papers per year rule All the authors and co-authors cannot submit more than two papers to this journal (including co-authored papers) within a period of twelve (12) months. If you or one of your co-authors have already submitted two papers within a period of 12 months or less, your third submission (if any) will be returned to you.Rejection due to poor English Some papers with good mathematics have been rejected from this journal due to the poor level of English within the paper. It is the responsibility of the author to ensure that the English language used is correct before submitting their paper. For authors whose first language is not English, we highly recommend that you have it checked by a native English speaker or make use of an English editing service. Elsevier also offers this (at a cost) via our Webshop (English Language Editing ).
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  • Operations Research Letters

    • ISSN: 0167-6377
    Operations Research Letters (ORL) is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. ORL welcomes pure methodological papers and applied papers with firm methodological grounding. All articles are restricted to at most eight journal pages, with the option to relegate proofs and additional material to an online appendix. The main criteria for the papers to be published are quality, originality, relevance, and clarity. The journal's traditional strength is in methodology, including theory, modelling, algorithms, and computational studies. Please find below a full description of the areas covered by the journal.Area EditorsApproximation Algorithms for Combinatorial Optimization Problems Area Editor: Leah Epstein Associate Editors: M. Chrobak, K. Elbassioni, M. Feldman, J. Hurink, N. Olver, J. Sgall, J. Verschae The area covers all issues relevant to the development of efficient approximate solutions to computationally difficult problems. This includes worst case analysis or competitive analysis of approximation algorithms, and complexity results.Submissions can be articles consisting of theoretical work in the area, or articles combining significant theoretical contributions of mathematical flavor with computational investigations of heuristic approaches. Articles in the area of discrete optimization that do not belong to the scope of other areas may be submitted to this area as well.Computational Social Science Area Editor: Vianney Perchet Associate Editors: A. Drutsa, P. Mertikopoulos, R. Smorodinsky This area publishes papers focusing on data-driven procedures, either from a theoretical or an applied perspective, in operation research, games, economics and other social science. The scope includes: sample/computational complexity of mechanisms, learning in games/OR/social science, empirical solutions with AI algorithms (such as, but not limited to, deep learning techniques) of complex problems, etc. Continuous Optimization Area Editor: Hector Ramirez Associate Editors: M.F. Anjos, L.M. Briceno, D. Dadush, G. Eichfelder, D. Jiang, D. Orban, F. Schoen Papers in all fields of continuous optimization that are relevant to operations research are welcome. These areas include, but are not restricted to, linear programming, nonlinear programming (constrained or unconstrained, convex or nonconvex, smooth or nonsmooth, finite or infinite-dimensional... complementarity problems, variational inequalities, bilevel programming, and mathematical programs with equilibrium constraints. Financial Engineering Area Editor: Ning Cai Associate Editors: X. He, D. Mitchell Financial engineering utilizes methodologies of optimization, simulation, decision analysis and stochastic control to analyse the effectiveness and efficiency of financial markets. This area is interested in papers that innovate in terms of methods or that develop new models which guide financial practices. Examples include but are not limited to Fintech, financial networks, market microstructure, derivative pricing and hedging, credit and systemic risk, energy markets, portfolio selection. Game Theory Area Editor: Tristan Tomala Associate Editors: S. Beal, V. Ihele, D.W.K. Yeung, G. Zaccour This area publishes papers which use game theory to analyze operations research models or make theoretical contributions to the theory of games. The scope includes (but is not limited to): cooperative and non-cooperative games, dynamic games, mechanism and market design, algorithmic game theory, games on networks, games of incomplete information. Graphs & Networks Area Editor: Gianpaolo Oriolo Associate Editors: F. Bonomo, Y. Faenza, Z. Friggstad, L. Sanita The area seeks papers that apply, in original and insightful ways, discrete mathematics to advance the theory and practice of operations research, as well as those reporting theoretical or algorithmic advances for the area. Of particular, but not exclusive, interest are papers devoted to novel applications, telecommunications and transportation networks, graphs and web models and algorithms. Inventory and Supply Chain Optimization Area Editor: Sean Zhou Associate Editors: H. Abouee Mehrizi, A. Burnetas, X. Gong, Q. Li, J. Yang The area welcomes innovative papers focused on inventory control and supply management. Examples of topics include, but are not limited to, optimal sourcing, inventory and assortment selection, pricing and inventory optimization, capacity planning, multi-item/echelon systems, algorithms and bounds, near-optimal or asymptotic optimal solutions, and incentive design. Mixed Integer Optimization Area Editor: Marc Pfetsch Associate Editors: R. Fukasawa, L. Liberti, J.P. Vielma, G. Zambelli All submissions advancing the theory and practice of mixed integer (linear or nonlinear) programming like novel techniques and algorithmic approaches in convex relaxations, branch and cut, polyhedral combinatorics and theory driven heuristics are welcome. Case studies may be considered if they contribute to the general methodology. Operations Management Area Editor: Mahesh Nagarajan Associate Editors: L. Chu, Y. Ding, N. Golrezaei, T. Huh, D. Saban, C. Shi, L. Zhu The OM department aims to publish short, focused high quality research in the area of operations management, broadly the field of operations research applied to management problems. We welcome papers that use a wide variety of methodologies, both descriptive as well as prescriptive in nature including optimization, applied probability, simulation, and game theory. Scheduling Area Editor: Marc Uetz Associate Editors: B. Moseley, E. Pesch, R. Van Stee We seek original and significant contributions to the analysis and solution of sequencing and scheduling problems. This includes structural and algorithmic results, in particular optimization, approximation and online algorithms, as well as game theoretic modeling. All results are welcome as long as the relevance of a problem and significance of the contribution is made compellingly clear. Stochastic Models and Data Science Area Editor: Henry LamAssociate Editors: H. Bastani, J. Dong, K. Murthy, I. Ryzhov, Y. Zhou The area seeks papers broadly on the interplay between operations research and machine learning and statistics where stochastic variability and uncertainty play a crucial role. The area values both papers that develop or utilize stochastic analysis and computation in data science problems, including but not limited to reinforcement learning, stochastic iterative algorithms for model estimation or training, probabilistic analysis of statistical and machine learning tools, sampling and Monte Carlo methods, and also papers that integrate learning or statistical techniques into stochastic modeling to enhance prediction or decision-making for a wide variety of systems. Stochastic Networks and Queues Area Editor: Harsha HonnappaAssociate Editors: R. Roet-Green, E. Ozkan, W. Wang, Y. ZhaoThe area seeks papers that contribute to the modeling, analysis or innovative application of stochastic networks or queues. Work submitted should propose original models and develop novel analytical or computational methods more than incremental extensions. Examples of relevant application areas include but are not limited to supply chain management, manufacturing, financial engineering, healthcare, revenue management, service operations, telecommunications, sharing economy, online markets and public sector operations research. Application-oriented papers should demonstrate direct practical impact and have a strong methodological component as well.Stochastic Optimization and Machine Learning Area Editor: Angelos Georghiou Associate Editors: M. Bodur, M. Claus, E. Feinberg, P. Vayanos The Stochastic Optimization and Machine Learning area of Operations Research Letters solicits original articles that generate novel insights into problems that arise in optimization under uncertainty and in machine learning. The focus is broad and encompasses, among others, stochastic (dynamic) programming, (distributionally) robust optimization, data-driven optimization as well as the interface of machine learning with traditional areas of operations research. Successful submissions in this area are expected to make a clear and meaningful academic contribution, which may be through the study of new problems, models, solution techniques, performance analysis and convincing and reproducible numerical evaluations.
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  • International Journal of Forecasting

    • ISSN: 0169-2070
    Official Publication of the International Institute of ForecastersThe International Journal of Forecasting is the leading journal in its field. It is the official publication of the International Institute of Forecasters (IIF) and shares its aims and scope. More information about the IIF may be found at https://www.forecast... International Journal of Forecasting publishes high quality refereed papers covering all aspects of forecasting. Its objective (and that of the IIF) is to unify the field, and to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers. The journal places strong emphasis on empirical studies, evaluation activities, implementation research and ways of improving the practice of forecasting. It is open to many points of view and encourages debate to find solutions for problems facing the field.Topics covered in the International Journal of Forecasting:• Economic and econometric forecasting • Marketing forecasting • New products forecasting • Financial forecasting • Production forecasting • Technological forecasting • Forecasting applications in business, government, and the military • Demographic forecasting • Energy forecasting • Climate forecasting • Crime forecasting • Seasonal adjustments and forecasting • Time series forecasting • Legal and political aspects of forecasting • Implementation of forecasting • Judgmental/psycholog... aspects of forecasting • Impact of forecast uncertainty on decision making • Organizational aspects of forecasting • Sport forecasting • Machine Learning forecasting • Forecasting methodology • Election forecasting • Big data forecasting Features of the IJF include research papers, research notes, discussion articles, book reviews, editorials and letters.Data and computer programs associated with articles published in the International Journal of Forecasting are provided as online supplements on ScienceDirect.Object... To ensure fairness and objectivity, double-blind reviewing will be used.Replication studies The IJF encourages replication studies, especially of highly cited papers. See Encouraging replication and reproducible research (an editorial published in 2010) for further information. A replication study that confirms that a published paper can be successfully replicated would normally be quite short (about a page is often sufficient to describe what calculations and comparisons have been done). Where a previously published paper has not been successfully replicated, more details are required to explain how the results differ from those previously published.
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  • Pervasive and Mobile Computing

    • ISSN: 1574-1192
    Special Issue Proposal Note PMCJ exclusively reviews Special Issue proposal forms submitted here through the designated submission system. Proposals submitted via any other means will not be considered for review. For more information on how to prepare and submit a SI proposal please check https://www.elsevier... and Scope As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral to our daily lives. Tremendous advancements in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoT) to ubiquitous connectivity through wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including mobile edge/fog/cloud, data analytics and machine learning) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing.Such cutting-edge pervasive technologies and paradigms have led to the convergence of cyber-physical-human systems with applications to smart environments (e.g., smart homes and cities, smart grid, smart transportation, smart health, smart agriculture) with the goal to improve human experience and quality of life without explicit awareness of the underlying communications and computing technologies. Additionally, the huge amount of (real-time) data collected via pervasive devices coupled with advanced data analytic, machine learning and AI (Artificial Intelligence) techniques for reliable prediction and decision-making are making breakthrough research in pervasive computing and applications, such as self-driving cars, predictive maintenance in the industry 4.0 environments, mobile recommendation systems, etc.The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems. Topics include, but not limited to: Pervasive Computing and Communications Architectures and ProtocolsPervasive, Mobile and Wearable Computing Systems and ServicesCyber-Physic... Systems and Cyber-Physical-Human SystemsSmart Systems and Applications (smart homes, smart cities, smart manufacturing, smart transportation, smart grid, smart health, smart agriculture, etc.)Human-centric Intelligent SystemsCognitive ComputingTrustworthy AI in Pervasive SystemsMachine Learning and Deep Learning in Pervasive and Mobile ComputingFederated, Distributed and Embedded learning, Learning at-the-edge in Pervasive SystemsLearning on Streaming Data and Continual Learning in Pervasive and Mobile SystemsBig Data and Data Analytics in Pervasive Computing SystemsInternet of Things and Social Internet of ThingsInternet of People and Internet of VehiclesEdge, Fog, Mobile Cloud and Opportunistic Computing in Pervasive and Mobile SystemsEnabling Pervasive Communication Technologies (e.g., wireless LANs, cellular, hybrid, ad hoc and cognitive networks)Wireless Sensors Networks and RFID TechnologiesUrban Sensing and Mobile CrowdsensingParticip... and Social SensingMachine-to-Ma... and Device-to-Device CommunicationsPositi... Localization and Tracking TechnologiesActivity Recognition and TrackingContext-awar... ComputingLocation-ba... Services and ApplicationsPervasiv... Service Creation, Composition, Discovery, Management, and DeliveryHuman User Interfaces and Interaction ModelsTrust, Reliability, Security, and Privacy in Pervasive and Mobile Computing SystemsPerformance Evaluation of Pervasive and Mobile Computing Systems
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