Journals in Mathematics general
Journals in Mathematics general
Physica D: Nonlinear Phenomena
Physica D (Nonlinear Phenomena) publishes research and review articles reporting on theoretical and experimental work, techniques, and ideas that advance the understanding of nonlinear phenomena. The scope of the journal encompasses mathematical methods for nonlinear systems including: wave motion, pattern formation and collective phenomena in physical, chemical and biological systems; hydrodynamics and turbulence; integrable and Hamiltonian systems; and data-driven dynamical systems. The journal encourages submissions in established and emerging application domains, for example applications of nonlinear science to artificial intelligence, robotics, control theory, complex networks, and social and economic dynamics.- ISSN: 0167-2789
Physics of Life Reviews
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.- ISSN: 1571-0645
Next Research
Next Research is a peer-reviewed multidisciplinary journal, publishing research spanning all scientific technical and medical communities.The journal is part of the Next family, a new suite of multidisciplinary journals from Elsevier spanning all branches of science. Managed by our dedicated team of in-house Editors, Next Research offers authors speed, consistency, innovation, flexibility, and ease of submission.Next Research is an inclusive venue for scientifically accurate manuscripts that meet the ethical and scientific publishing standards. It publishes all research topics across the fields of health sciences, physical sciences, life sciences and social sciences. Next Research publishes experimental, computational, and theoretical work, in traditional formats such as Original Research Articles, Communications and Reviews, as well as novel formats and video content.The journal provides authors with rigorous peer review ensuring articles adhere to a high technical standard, with rapid decisions and a highly visible platform for scientists to share their research.We believe that all rigorous research should be shared.- ISSN: 3050-4759
Journal of the Franklin Institute
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.- ISSN: 0016-0032
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, 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.- ISSN: 0167-6377
Journal of Approximation Theory
The Journal of Approximation Theory is devoted to advances in pure and applied approximation theory and related areas. These areas include, among others:Classical approximation Abstract approximation Constructive approximation Degree of approximation Fourier expansions Interpolation of operatorsGeneral orthogonal systems Interpolation and quadratures Multivariate approximation Orthogonal polynomials Padé approximation Rational approximationSpline functions of one and several variables Approximation by radial basis functions in Euclidean spaces, on spheres, and on more general manifolds Special functions with strong connections to classical harmonic analysis, orthogonal polynomial, and approximation theory (as opposed to combinatorics, number theory, representation theory, generating functions, formal theory, and so forth) Approximation theoretic aspects of real or complex function theory, function theory, difference or differential equations, function spaces, or harmonic analysis Wavelet Theory and its applications in signal and image processing, and in differential equations with special emphasis on connections between wavelet theory and elements of approximation theory (such as approximation orders, Besov and Sobolev spaces, and so forth) Gabor (Weyl-Heisenberg) expansions and sampling theoryThis 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.- ISSN: 0021-9045
Nonlinear Analysis: Real World Applications
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 ).- ISSN: 1468-1218
Applied and Computational Harmonic Analysis
Applied and Computational Harmonic Analysis (ACHA) is an interdisciplinary journal that publishes high-quality papers in all areas of mathematical sciences related to the applied and computational aspects of harmonic analysis, with special emphasis on innovative theoretical development, methods, and algorithms, for information processing, manipulation, understanding, and so forth. The objectives of the journal are to chronicle the important publications in the rapidly growing field of data representation and analysis, to stimulate research in relevant interdisciplinary areas, and to provide a common link among mathematical, physical, and life scientists, as well as engineers. Applied and computational harmonic analysis covers, in the broadest sense, topics that include but not limited to:I Signal and Function Representations continuous and discrete wavelet transform wavelet frames wavelet algorithms local time-frequency and time-scale basis functions multi-scale and multi-level methods refinable functionsII Representation of Abstract and High-dimensional Objects diffusion wavelets and geometryharmonic analysis on graphs and trees sparse data representationcompre... samplingcompressed sensingmatrix completionrandom matrices and projectionsdata dimensionality reductionhigh-dimens... integrationIII Application Areas data compressionsignal and image processinglearning theory and algorithmscomputer-a... geometric designextra large data analysis and understandingdata recovery and image inpaintingdata mininghyperspectral imagingnovel sensors and systemsThis 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.- ISSN: 1063-5203
Journal of Geometry and Physics
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.- ISSN: 0393-0440
Journal of Mathematical Analysis and Applications
The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. In applications the journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions.Papers are sought in one or more of the following areas:Analytic number theory Applied mathematics Approximation theory Calculus of Variations Combinatorics Complex analysis Control and Optimization Dynamical systems Functional analysis and operator theory Mathematical biology Mathematical physics Numerical analysis Partial differential equations Probability Real and harmonic analysisThis 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.- ISSN: 0022-247X
