Journals in Mathematics and applied mathematics
Journals in Mathematics and applied mathematics
- ISSN: 0378-4754
Mathematics and Computers in Simulation
Transactions of IMACSThe aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles.Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO.Topics covered by the journal include mathematical tools in:•The foundations of systems modelling •Numerical analysis and the development of algorithms for simulationThey also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research.The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
- ISSN: 0007-4497
Bulletin des Sciences Mathématiques
Articles in French and English For more information on our journals visit: https://www.elsevier... in 1870, by Gaston Darboux, the Bulletin publishes original articles covering all branches of pure mathematics. During the last few years the Bulletin has published contributions by T. Aubin, H. Bauer, R. Beals, L. De Branges, L. Carleson, A. Chang, G. Choquet, J. Dixmier, J.P. Demailly, L. Ehrenpreis, P. Erdös, B. Gaveau, P. Greiner, A. Koranyi, T. Levasseur, P. Malliavin, H. Moscovici, O.G. Pisier, H. Rosenberg, E. Stein, M. Talagrand, A. Tognoli, A. Varchenko, N. Varopoulos, A. Weinstein, H. Widom, M. Yor.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission.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.If you require any further information or help, please visit our Support Center
- ISSN: 0001-8708
Advances in Mathematics
Emphasizing contributions that represent significant advances in all areas of pure mathematics, Advances in Mathematics provides research mathematicians with an effective medium for communicating important recent developments in their areas of specialization to colleagues and to scientists in related disciplines.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. 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.If you require any further information or help, please visit our Support Center.
- ISSN: 0096-3003
Applied Mathematics and Computation
Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results.In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.Please also visit the Electronic Service of Applied Mathematics and Computation at https://www.elsevier... to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center
- ISSN: 0168-0072
Annals of Pure and Applied Logic
Scope of the Journal The journal Annals of Pure and Applied Logic publishes high quality papers in all areas of mathematical logic as well as applications of logic in mathematics, in theoretical computer science and in other related disciplines. All submissions to the journal should be mathematically correct, well written (preferably in English)and contain relevant new results that are of significant interest to a substantial number of logicians. The journal also considers submissions that are somewhat too long to be published by other journals while being too short to form a separate memoir provided that they are of particular outstanding quality and broad interest. In addition, Annals of Pure and Applied Logic occasionally publishes special issues of selected papers from well-chosen conferences in pure and applied logic.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission.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.If you require any further information or help, please visit our Support Center
- ISSN: 1574-1192
Pervasive and Mobile Computing
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
- ISSN: 0167-6377
Operations Research Letters
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, R. Roet-Green, 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: 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.
- ISSN: 0307-904X
Applied Mathematical Modelling
Applied Mathematical Modelling focuses on significant and novel scientific developments for mathematical modelling and computational methods and tools for engineering, industrial and environmental systems and processes leading to future innovations and novel technologies.The topics considered are: heat transfer, fluid mechanics, computational fluid dynamics and electromagnetics, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and magnetohydrodynamics... reliability modelling and system optimization; modelling of inventory, industrial, manufacturing and logistics systems with managerial insights; engineering systems and structures; mineral and energy resources; software engineering developments; digital twins; materials; unmanned vehicles; robotics; network traffic control; energy sustainability models; optimization; population dynamics with realistic scenarios; high-performance methods for data-driven engineering applications; numerical procedures; computational intelligence in complex engineering problems.Applied Mathematical Modelling is primarily interested in: Papers developing increased insights into real-world problems through novel analytical or semi-analytical mathematical and computational modelling.Papers with multi- and interdisciplinary topics, including linking with data driven models and applications.Papers on novel applications or a combination with the above.Papers employing existing methods must demonstrate significant novelty in the solution of practical problems. Model validation, verification and reproducibility is a fundamental principle for published papers.Papers based on fuzzy logic in decision-making, financial mathematics, heuristic algorithms, neural networks, data modelling, game-theoretical, fractional differential equations, bifurcation and numerical methods papers are not considered unless they solve practical problems, supported by reasonable empirical evidence. Submissions with no real-world application will not be considered.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.If you require any further information or help, please visit our Support Center
- ISSN: 0723-0869
Expositiones Mathematicae
This journal publishes articles in English, French or German in all branches of mathematics under the headings “Survey Articles”, "Main Research Articles" and "Short Research Notes". Survey articles - are expositions on contemporary mathematical research written in a way that a research student or a mathematician who may not be an expert on the topic can read them profitably. There is no page limit for survey articles.Main research articles - must contain significant new results, provide enough background information on the research topic and make high level research accessible to a broad audience. Main research articles are expected to have at least fifteen pages. Short research notes - can be slightly higher-level research on a specialized topic and are expected to contain ten or fewer pages. Clarity of exposition, accuracy of the details, quality of research results, and the relevance and interest of the subject matter will be the decisive factors in our acceptance for publication of an article.
- ISSN: 0377-2217
European Journal of Operational Research
Published in collaboration with the Association of European Operational Research Societies (EURO)The European Journal of Operational Research (EJOR) publishes high quality, original papers that contribute to the methodology of operational research (OR) and to the practice of decision making. EJOR contains the following types of papers:• Invited Reviews, explaining to the general OR audience the developments in an OR topic over the recent years • Innovative Applications of OR, describing novel ways to solve real problems • Theory and Methodology Papers, presenting original research results contributing to the methodology of OR and to its theoretical foundations, • Short Communications, if they correct important errors found in papers previously published in EJORThe Theory and Methodology Papers are classified into one of the seven headings:• Continuous Optimization • Discrete Optimization • Production, Manufacturing and Logistics • Stochastics and Statistics • Decision Support • Computational Intelligence and Information Management • Interfaces with Other DisciplinesBenefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center
Related subjects
Algebra and number theory
Algebraic topology
Analysis
Applied mathematics
Approximations and expansions
Biomathematics
Calculus of variations and optimal control optimization
Computer science
Convex sets and related geometric topics
Differential geometry
Discrete mathematics combinatorics
Field theory and polynomials
Finite differences and functional equations
Functional analysis
General topology
Global analysis analysis of manifolds
Linear and multilinear algebra matrix theory
Manifolds and cell complexes
Mathematical economics and game theory
Mathematical logic and foundations
Mathematical programming
Mathematics general
Mathematics history and biography
Number theory
Numerical analysis
Order lattices ordered algebraic structures
Partial differential equations
Potential theory
Set theory
Several complex variables and analytic spaces
Systems theory control
Topological groups lie groups