Journals in Analysis of algorithms and problem complexity

8 results in All results

Computational Geometry

• ISSN: 0925-7721
• 5 Year impact factor: 0.5
• Impact factor: 0.4

Theory and ApplicationsComputational 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.Computational Geometry features a special section containing open problems and concise reports on implementations of computational geometry tools.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. If you require any further information or help, please visit our Support Center

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Computer-Aided Design

• ISSN: 0010-4485
• 5 Year impact factor: 3.4
• Impact factor: 3

Computer-Aided Design is a leading international journal that provides academia and industry with key papers on research and developments in computational foundations and methods of design. The term "design" is to be understood broadly to encompass conceptualization, synthesis, realization, and evolution of artifacts, processes, and systems (both natural and artificial).Computer-Aided Design invites papers reporting new research, as well as novel or particularly significant applications, within a wide range of topics, spanning all stages of design from concept creation to manufacture and beyond. Contributions are welcome from all disciplines and application areas, provided that they have a significant geometric, topological, spatial, or configuration design content, and present developments likely to be of interest to a broad spectrum of researchers, educators, and practitioners of computer-aided design. In this context, examples of relevant topics include but are not limited to:Foundational theories, frameworks, methodologies, and standardsMathematical models, representations, and algorithms for shapes, solids, structures, and assembliesMaterial, behavior, and physical modelingConceptual design and inventionUncertainty and imprecision in computer-aided designMulti-scale modeling and design of shape and material structuresSystem level design and model-based systems engineeringProgrammable subtractive, additive, and hybrid manufacturingGenerative design, shape, topology, and material optimizationComputational planning, fabrication, and inspectionDiscretization and meshing algorithmsData acquisition, model recognition and reconstructionRepresentation conversions and interoperabilityApplications of AI in design, including neural networks and machine learningDesign ontologies, grammars, languages, and semanticsData driven modeling and synthesisAdvanced support of manufacturing and downstream activitiesTechnologies in support of digital factory and digital twin conceptsUser interfaces, system interfaces, and human-computer interactionDesign databases, knowledge repositories, object libraries and retrievalSpecific applications and significant benchmarks of computer-aided designTypes of Papers:Research papers: report significant research and development results, describe the relevant theoretical foundations and methodology, and present workable algorithms and give examples taken from real world applications, stressing the significance of the approach being presented.Application papers: describe complex and pioneering applications of CAD concepts, methods and tools in practice, present significant results that extend the disciplinary knowledge and/or analyze the application in a way that is likely to stimulate and influence further research.Survey papers: critically analyze the current state of knowledge in a given field of CAD, summarize and organize recent research results in a novel way, derive new insights and deepen understanding of those working in the field, and propose possible topics, orientations and approaches for future research and development.Technical notes: respond to material published in the journal or closely related topics, repair a flaw in the definition and approach or stimulate further thinking, or provide additional technical details on a CAD theory, technology, methodology, product or application.Dataset papers: discuss creation, documentation, and critical assessment of data sets, repositories, and their uses supporting research and practice in all areas of computer-aided design. An algorithmic contribution is not required for a dataset paper, but the dataset itself must be made freely usable and accessible for research purposes. Dataset papers will go through the same rigorous review process and will be evaluated based on their novelty, impact, and presentation. Accessibility, privacy, and ethics are also important issues that will be considered by the reviewers and editors.

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Discrete Applied Mathematics

• ISSN: 0166-218X
• 5 Year impact factor: 1
• Impact factor: 1

The Journal of Combinatorial Algorithms, Informatics and Computational SciencesThe aim of Discrete Applied Mathematics is to bring together research papers in different areas of algorithmic and applicable discrete mathematics as well as applications of combinatorial mathematics to informatics and various areas of science and technology. Contributions presented to the journal can be research papers, short notes, surveys, and possibly research problems. The "Communications" section will be devoted to the fastest possible publication of recent research results that are checked and recommended for publication by a member of the Editorial Board. The journal will also publish a limited number of book announcements as well as proceedings of conferences. These proceedings will be fully refereed and adhere to the normal standards of the journal.Potential authors are advised to view the journal and the open calls-for-papers of special issues before submitting their manuscripts. Only high-quality, original work that is within the scope of the journal or the targeted special issue will be considered.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

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Discrete Mathematics

• ISSN: 0012-365X
• 5 Year impact factor: 0.8
• Impact factor: 0.7

Discrete Mathematics provides a common forum for significant research in many areas of discrete mathematics and combinatorics.The research areas covered by Discrete Mathematics include graph and hypergraph theory, enumeration, coding theory, block designs, the combinatorics of partially ordered sets, extremal set theory, matroid theory, algebraic combinatorics, discrete geometry, matrices, discrete probability, and parts of cryptography.Discrete Mathematics generally does not include research on dynamical systems, differential equations, or discrete Laplacian operators within its scope. It also does not publish articles that are principally focused on linear algebra, abstract algebraic structures, or fuzzy sets unless they are highly related to one of the main areas of interest. Also, papers focused primarily on applied problems or experimental results fall outside our scope.Items in the journal include research articles (Contributions or Notes, depending on length) and survey/expository articles (Perspectives). Efforts are made to process the submission of Notes (short articles) quickly. The Perspectives section features expository articles accessible to a broad audience that cast new light or present unifying points of view on well-known or insufficiently-known topics.Discrete Mathematics also publishes occasional Special Issues containing selected papers. Such issues are fully refereed and adhere to the normal high standards of the journal.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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Information Processing Letters

• ISSN: 0020-0190
• 5 Year impact factor: 0.7
• Impact factor: 0.7

Devoted to the Rapid Publication of Short Contributions to Information ProcessingInformation Processing Letters invites submission of original research articles that focus on fundamental aspects of information processing and computing. This naturally includes work in the broadly understood field of theoretical computer science; although papers in all areas of scientific inquiry will be given consideration, provided that they describe research contributions credibly motivated by applications to computing and involve rigorous methodology. High quality experimental papers that address topics of sufficiently broad interest may also be considered.Since its inception in 1971, Information Processing Letters has served as a forum for timely dissemination of short, concise and focused research contributions. Continuing with this tradition, and to expedite the reviewing process, manuscripts are generally limited in length to nine pages when they appear in print.More detailed information about the topics of interest and submission format can be found in the Guide for Authors.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. If you require any further information or help, please visit our Support Center

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Journal of Computational Science

• ISSN: 1877-7503
• 5 Year impact factor: 3.4
• Impact factor: 3.1

Computational Science is a rapidly growing multi- and interdisciplinary field. It develops mathematical and computational models and uses advanced computing techniques to simulate these models, driven by data. Its overarching goal is to understand and solve complex problems. It has reached a level of predictive and interventional capability that now firmly complements the traditional pillars of experimentation and theory.The recent advances in experimental techniques have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data-driven modeling and simulation which is no longer feasible using traditional analytical approaches alone.This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods.Computational science typically unifies three distinct elements:• Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).The Journal of Computational Science aims to be an international platform to exchange novel research results in simulation-based science across all scientific disciplines. It publishes advanced innovative, interdisciplinary research where complex multi-scale, multi-domain problems in science and engineering are solved, integrating sophisticated numerical methods, computation, data, networks, and novel devices.The journal welcomes original, unpublished high quality contributions in the field of computational science at large, addressing one or more of the aforementioned elements.

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Mathematics and Computers in Simulation

• ISSN: 0378-4754
• 5 Year impact factor: 3.6
• Impact factor: 4.4

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.

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Theoretical Computer Science

• ISSN: 0304-3975
• 5 Year impact factor: 0.9
• Impact factor: 0.9

Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.Any queries about submissions and peer review should be addressed to the TCS editorial office: [email protected] published in Theoretical Computer Science are grouped in three sections according to their nature. The first section `Algorithms, automata, complexity and games' is devoted to the study of algorithms and their complexity using analytical, combinatorial or probabilistic methods. It includes the whole field of abstract complexity (i.e. all the results about the hierarchies that can be defined using Turing machines), the whole field of automata and language theory (including automata on infinite words and infinitary languages), the whole field of geometrical (graphic) applications and the whole field of measurement of system performance using statistical methods.The second section,`Logic, semantics and theory of programming', is devoted to formal methods to check properties of programs or implement formally described languages; it contains all papers dealing with semantics of sequential and parallel programming languages. All formal methods treating these problems are published in this section, including rewriting techniques, abstract data types, automatic theorem proving, calculi such as SCP or CCS, Petri nets, new logic calculi and developments in categorical methods.The third section, 'Natural Computing', is devoted to the study of computing occurring in nature and computing inspired by nature. In the rapidly evolving field of computer science, natural computing plays an important role as the catalyst for the synergy of human designed computing with the computing going on in nature. This synergy leads to a deeper and broader understanding of the nature of computation. Although natural computing is concerned also with experiments and applications, this section of Theoretical Computer Science is focused on the theoretical aspects of natural computing with clear relevance to computing. Among others, it will contain papers dealing with the theoretical issues in evolutionary computing, neural networks, molecular computing, and quantum computing.Theoretical Computer Science will now publish high-quality advanced introductions. Advanced introductions, which are by invitation only, should cover a focused topic within the scope of TCS at a level that would be appropriate for a scientist who is new to the topic and wishes to gain an up-to-date understanding. Articles should be self-contained, including motivation and basic definitions, and proceed to advanced material and/or open problems which may - but need not - include new results. Sufficient references should be given to provide the reader with entry points to the research literature on the topic as well as the origins of the main ideas. Submissions will go through the standard review process of TCS.

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