Buscador de Revistas

The journal publishes original papers of high scientific value in all areas of computational mathematics and cybernetics at the interface between applied mathematics, numerical computation, and applications. Papers that describe and analyze new computational techniques for solving scientific or engineering problems are especially welcome.

The journal publishes original articles and brief communications in various areas of theoretical and applied mathematics including mathematical analysis: theory of functions and functional analysis: algebra, geometry and topology: differential equations: mathematical physics: numerical mathematics: probability theory, mathematical statistics: random processes: optimal control: mathematical logic: theory of algorithms: numbers theory: discrete mathematics: and mathematical cybernetics.

Multibody System Dynamics provides a unique single vehicle for reporting significant developments in all areas of multibody system dynamics. The journal explores theoretical and computational methods in rigid and flexible multibody systems, their applications, and experimental procedures used to validate the theoretical foundations. The journal’s research papers address the issues of new formulations, solution algorithms, computational efficiency, analytical and computational kinematics, synthesis, flexibility effects, control, optimization, real-time simulation, parallel computations, workspace and path planning, reliability, and durability. Fields such as vehicle dynamics, aerospace technology, robotics and mechatronics, machine dynamics, crashworthiness, biomechanics, computer graphics, and system identification are also examined when the topic is relevant to multibody system dynamics.

Multidimensional Systems and Signal Processing publishes research and selective surveys papers ranging from the fundamentals to important new findings. The journal responds to and provides a solution to the widely scattered nature of publications in this area, offering unity of theme, reduced duplication of effort, and greatly enhanced communication among researchers and practitioners in the field.A partial list of topics addressed in the journal includes multidimensional control systems design and implementation;  multidimensional stability and realization theory; prediction and filtering of multidimensional processes; Spatial-temporal signal processing; multidimensional filters and filter-banks; array signal processing; and applications of multidimensional systems and signal processing to areas such as healthcare and 3-D imaging techniques.

An international journal for the latest research and developments on multidiscipline modelling in materials and structures from both traditional and interdisciplinary subject areas

Centered around multiscale phenomena, Multiscale Modeling and Simulation (MMS) is an interdisciplinary journal focusing on the fundamental modeling and computational principles underlying various multiscale methods. By its nature, multiscale modeling is highly interdisciplinary, with developments occurring independently across fields. A broad range of scientific and engineering problems involve multiple scales. Traditional monoscale approaches have proven to be inadequate, even with the largest supercomputers, because of the range of scales and the prohibitively large number of variables involved. Thus, there is a growing need to develop systematic modeling and simulation approaches for multiscale problems. MMS will provide a single broad, authoritative source for results in this area. MMS bridges the growing gap in communication between mathematics, chemistry, physics, engineering, computer science, environmental science, and more.

Multivariate Behavioral Research (MBR) publishes a variety of substantive, methodological, and theoretical articles in all areas of the social and behavioral sciences. Most MBR articles fall into one of two categories. Substantive articles report on applications of sophisticated multivariate research methods to study topics of substantive interest in personality, health, intelligence, industrial/organizational, and other behavioral science areas. Methodological articles present and/or evaluate new developments in multivariate methods, or address methodological issues in current research. We also encourage submission of integrative articles related to pedagogy involving multivariate research methods, and to historical treatments of interest and relevance to multivariate research methods. Please email your manuscript as an attachment in either, Microsoft Word (.doc) or pdf file format to: jrodgers@ou.edu. Alternatively, you may also mail a disk copy to: Joseph Lee Rodgers, Department of Psychology, 455 West Lindsey Street, University of Oklahoma, Norman, OK 73019, USA. For queries about submitting, call (+1) 405-325-4591 or email Joseph Lee Rodgers at the email adress above. RELATED LINKS * Research Methods books * Research Methods conferences * Join the Psychology Press Research Methods mailing list!Peer Review Policy: All review papers in this journal have undergone editorial screening and peer review. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

Nano Communication Networks Journal is an international, archival and multi-disciplinary journal providing a publication vehicle for complete coverage of all topics of interest to those involved in all aspects of nano-scale networking and communications. Theoretical research contributions presenting new techniques, concepts, or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.Starting in 2010, it is planned to have four issues per year.Nano Communication Networks is a part of COMNET (Computer Networks) family of journals within Elsevier. The family of journals covers all aspects of networking except the nano-scale communications subject which is the target for this newly proposed journal.Topics of Interest:Nano Communication Networks will be committed to the very timely publication of very high-quality, peer-reviewed, original papers that advance the state-of-the art and applications of all aspects of nano-scale networking and communications. Survey papers reviewing the state-of-the-art of timely topics will also be considered.Topics of interest include but are not limited to:1. Architectures and Systems for Nanocommunications2. Novel Information Theory Aspects of Nanocommunications3. Communication Protocols for Nanonetworks4. Nano-addressing and Nano-coding for Communications5. Molecular Communication aspects such as Ion Signaling, Molecular Motors, Flagellated Bacteria, Nanorods, Pheromones, Axons, Light Transducers, Capillaries6. Quantum Theory and its Application on Nano-Communication Networks7. Modeling and Simulation of Nano-Networks8. Automata Models for Nanonetworks9. Graph Theory Aspects of Nano-Networks10. Nano-Sensor Networks: Architecture and Communication Protocols11. Bio-nano Applications: Bio-micro/nanoelectronics, molecularscale chemical and biosensors, bio-MEMS technology, data and power management12. Networks-on-Chip (NoC): Network architectures and topologies, NoC performance and trade-off analysis, Energy efficiency and power management, CAD flows for NoCs and MP-SoC platforms, Fault tolerance and reliability issues13. Innovative System Interconnects: Nano-technologies and devices for on-chip interconnects (CNTs, semic., metallic and DNA-templated nanowires), Molecular, optical and wireless interconnects, Interconnects for non-charge-based devices14. Electro-Magnetic Communication for Nanonetworks (Nanoscale Electromagnetics, Carbon Nanotubes, Propagation models for nanoscale communications, planning and optimization, nano-radios, nano-batteries, nanoscale antennas, nano-arrays, EM aspects at nanoscale, reconfigurability issues)15. Nanonetworks in Terahertzband16. Applications of Nano-Networks.

Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.

NHM is a quarterly publication in March, June, September and December. It is now online only. To submit, send a pdf directly to the Editor in Chief, Benedetto Piccoli, at nhmaims@camden.rutgers.edu. NHM offers a strong combination of three features: Interdisciplinary character, specific focus, and deep mathematical content. Also, the journal aims to create a link between the discrete and the continuous communities, which distinguishes it from other journals with strong PDE orientation. NHM publishes original contributions of high quality in networks, heterogeneous media and related fields. NHM is thus devoted to research work on complex media arising in mathematical, physical, engineering, socio-economical and bio-medical problems. NHM is covered in Science Citation Index Expanded, CompuMath Citation Index, Current Contents/Engineering, Computing, and Technology ISI Alerting Services.

This journal supports the development of new computational paradigms stemming from the cross-fertilization of various research fields, such as programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems and agent-oriented systems. It presents theoretical and practical papers that cover all types of learning, knowledge discovery, evolutionary mechanisms, and emergent systems that can lead to key technologies that enable the building of more complex and intelligent systems. Major fields covered in New Generation Computing, include: Computing Paradigms Programming and Architecture Network Computing Intelligent Systems Learning Evolutionary Systems.

Recognizing the world is full of vagueness and uncertainty, this journal has chosen three very focused areas of research:

Nonlinear Analysis, Theory, Methods & Applications focuses on papers that address significant problems in Nonlinear Analysis that have a sustainable and important impact on the development of new directions in the theory as well as potential applications. Review articles on important topics in Nonlinear Analysis are welcome as well. In particular, only papers within the areas of specialization of the Editorial Board Members will be considered. Authors are encouraged to check the areas of expertise of the Editorial Board in order to decide whether or not their papers are appropriate for this journal.The journal aims to apply very high standards in accepting papers for publication and will publish results that are of significant interest. Papers dealing with applications will be limited to those that contain significant treatment of mathematics and not routine applications of mathematics. All effort will be made to process papers efficiently within a minimal amount of time.Benefits to authorsWe 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 pages: http://support.elsevier.com

Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in the area of hybrid dynamic systems, i.e., systems involving the interplay between discrete and continuous dynamic behaviors.Computer and embedded reactive control systems which includes discrete switching logic and event-driven interactions with continuous systems are ubiquitous in everyday life. These systems become increasingly complex and difficult to design and to verify while the requirements for dynamics performances and safety are also increasing. The development of systematic methods for efficient and reliable design of hybrid systems is a key issue in control technology and industrial information, and thus it is currently of high interest to control engineers, computer scientists and mathematicians in research institutions as well as in many industrial sectors.Contributions are invited in all areas pertaining to hybrid dynamic systems including: Modeling, modeling languages and specification; Analysis, computability and complexity; Stochastic systems; Impulsive systems; Verification; Abstraction; Optimization; Control synthesis and real-time control; Computation and control over networks; Neural or fuzzy approaches to hybrid systems; Synchronization of oscillators and chaotic systems; Fault diagnosis and dependability; Simulation, implementation and tools.Contributions on applications of hybrid dynamic systems methods are also encouraged. Fields of interest include: process industry, automotive, avionics, communication networks, energy systems, transportation networks, embedded systems, biology and other sciences, manufacturing and robotics.