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Journals in Mathematics general

  • International Journal of Non-Linear Mechanics

    • ISSN: 0020-7462
    The International Journal of Non-Linear Mechanics provides a specific medium for dissemination of high-quality research results in the various areas of theoretical, applied, and experimental mechanics of solids, fluids, structures, and systems where the phenomena are inherently non-linear.The journal brings together original results in elasticity, plasticity, dynamics, vibrations, wave-propagation, rheology, fluid-structure interaction systems, stability, biomechanics, micro- and nano-structures, materials, metamaterials, and in other diverse areas.Papers may be analytical, computational or experimental in nature. Treatments of non-linear differential equations wherein solutions and properties of solutions are emphasized but physical aspects are not adequately relevant, will not be considered for possible publication. Both deterministic and stochastic approaches are fostered. Contributions pertaining to both established and emerging fields are encouraged.
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  • Journal of the Franklin Institute

    • ISSN: 0016-0032
    Engineering and Applied MathematicsAs the second oldest continuously published American journal devoted to science and technology, the Journal of The Franklin Institute has an established reputation for publishing high quality papers in the field of engineering and applied mathematics.As a peer-reviewed journal, its goal is to promote inspiring advancements in the fields of engineering and applied mathematics by voices from the scientific and academic communities.As of 2022, the Journal of The Franklin Institute has expanded its content focus to include research under the field of Data Science. The journal welcomes high quality original manuscript submissions that fall under three main topic areas:Control Systems Complex Networks & Dynamic SystemsData Science & Signal ProcessingAside from original manuscripts, the Journal of The Franklin Institute encourages authors to put forth evolving new special issue proposals for publication, provided they fall broadly within the scope of the journal. Special issues with a strong conceptual foundation in newly evolving topics are continuously planned for future issues. These special issues are reviewed based on their novelty and possible lasting value to the field of study.
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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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  • European Journal of Operational Research

    • ISSN: 0377-2217
    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 Disciplines
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  • Physics of Life Reviews

    • ISSN: 1571-0645
    Physics of Life Reviews is an international journal appearing quarterly, that publishes review articles on physics of living systems, complex phenomena in biological systems, and related fields of artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. This journal is a unifying force, going across the barriers between disciplines, addressing all living systems from molecules to populations and from genetics to mind and artificial systems modeling these phenomena. The journal invites reviews from actively working researchers, which are broad in scope, critical, accessible to our wide readership and addresses sometimes controversial accounts of recent progress and problems.Physics of Life Reviews intends to keep the active researcher abreast of developments on a wide range of topics by publishing timely reviews, which are more than mere literature surveys but normally less than a full monograph. Although most of the reviews will be of a specialist nature, each review should contain enough introductory material to make the main points intelligible to a non-specialist and to inspire and facilitate interdisciplinary research. "Physics" in the journal name refers to the methodology unifying all areas of physics: (1) elucidating fundamental principles, (2) developing a mathematical model, (3) making experimentally verifiable predictions. We seek reviews aspiring to this universal paradigm. The reviews should address in a clear way the most important conceptual issues in a field, review existing theories and methods with their achievements and drawbacks or difficulties versus the issues, unsolved problems addressed by a new theory, method, or approach, and why a significant progress is achieved or expected. Future research directions, remaining unsolved problems, and experimental confirmations or controversies should also be addressed.
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  • Nonlinear Analysis

    • ISSN: 0362-546X
    An International Mathematical JournalNonlinear Analysis aims at publishing high-quality research papers broadly related to the analysis of partial differential equations and their applications. Submissions are encouraged in the areas of expertise of the editorial board.
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  • Journal of Multivariate Analysis

    • ISSN: 0047-259X
    The Journal of Multivariate Analysis (JMVA) is the central venue for the publication of new, relevant methodology and particularly theoretical developments of multivariate statistics combined with innovative applications pertaining to the analysis and interpretation of multidimensional data. Papers making substantial contributions to regression or time series analysis for multidimensional response variables are invited.Please note that a JMVA article is of length 15-25 pages. All proofs of propositions, theorems and lemmas should appear in the main body of the text or an appendix (not in a supplement).The journal welcomes contributions to all aspects of multivariate data analysis and modeling, including cluster analysis, discriminant analysis, factor analysis, independent component analysis and multidimensional continuous or discrete distribution theory, where the theory should connect to multivariate statistical inference.Topics of current interest include, but are not limited to, inferential aspects of:Change point analysisCopula modelingFunctional data analysisGraphical modelingHigh-dimensi... data analysisImage analysisMultivariate extreme-value theoryMultivariate mixed modelsSparse modelingSpatial statistics,Submissio... dealing with univariate models, including regression models with a single response variable and univariate time series models, are usually deemed to fall outside the journal's remit.Papers whose content is probabilistic in nature or whose main contribution is to substantive areas (e.g., actuarial science, biostatistics, economics, finance or hydrology) typically fall outside the journal's scope and will only be considered for publication if the statistical methodology used is both novel and broadly applicable.Finally, note that contributors to multivariate survival analysis, reliability theory and statistical quality control should submit their papers to journals specializing in these areas to ensure that their work reaches the targeted audience.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 Geometry and Physics

    • ISSN: 0393-0440
    The Journal of Geometry and Physics is an International Journal in Mathematical Physics. The Journal stimulates the interaction between geometry and physics by publishing primary research, feature and review articles which are of common interest to practitioners in both fields.The Journal of Geometry and Physics now also accepts Letters, allowing for rapid dissemination of outstanding results in the field of geometry and physics. Letters should not exceed a maximum of five printed journal pages (or contain a maximum of 5000 words) and should contain novel, cutting edge results that are of broad interest to the mathematical physics community. Only Letters which are expected to make a significant addition to the literature in the field will be considered.The Journal covers the following areas of research:Methods of: Algebraic and Differential Topology Algebraic Geometry Real and Complex Differential Geometry Riemannian Manifolds Symplectic Geometry Global Analysis, Analysis on Manifolds Geometric Theory of Differential Equations Geometric Control TheoryLie Groups and Lie AlgebrasSupermanifol... and Supergroups Discrete GeometrySpinors and TwistorsApplications to: Strings and Superstrings Noncommutative Topology and GeometryQuantum Groups Geometric Methods in Statistics and Probability Geometry Approaches to ThermodynamicsClassi... and Quantum Dynamical Systems Classical and Quantum Integrable SystemsClassical and Quantum MechanicsClassical and Quantum Field TheoryGeneral RelativityQuantum InformationQuantum GravityThis 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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  • Expositiones Mathematicae

    • ISSN: 0723-0869
    This journal publishes articles in English 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. Authored by leading experts, survey articles should offer a well-organized, critical and in-depth overview of a specific research area. 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 - may present high-quality research on specialized topics, even if the scope is narrower or the level slightly more advanced. Short research notes should not exceed ten pages in length.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.
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  • Bulletin des Sciences Mathématiques

    • ISSN: 0007-4497
    Founded in 1870 by Gaston Darboux, the Bulletin des Sciences Mathématiques publishes original articles covering all branches of pure mathematics. Sbmissions in French and English are accepted.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.For more information on our journals visit: https://www.elsevier...
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