Journal Guide

Aimed primarily at mathematicians and physicists interested in research on nonlinear phenomena, the journal’s coverage ranges from proofs of important theorems to papers presenting ideas, conjectures and numerical or physical experiments of significant physical and mathematical interest.

The scope of the journal is to provide a multidisciplinary forum for scientists, researchers and engineers involved in research and design of nonlinear processes and phenomena, including the nonlinear modelling of phenomena of the nature. The journal accepts contributions on nonlinear phenomena and processes in any field of science and technology.

The journal Numerical Algorithms presents original and review papers on all aspects of numerical algorithms: new algorithms, theoretical results, implementation, numerical stability, complexity, parallel computing, subroutines and applications. Papers on computer algebra related to obtaining numerical results also included. The journal offers high quality papers containing material not published elsewhere. The journal also provides book reviews and announcements of scientific meetings.

This journal is directed at researchers in Numerical Analysis, Computer Sciences and Natural Sciences, engineers and economists who either take part in the development of methods in Numerical Linear Algebra or use such methods in their research.

An international journal that aims to cover research into the development and analysis of new methods for the numerical solution of partial differential equations, it is intended that it be readily readable by and directed to a broad spectrum of researchers into numerical methods for partial differential equations throughout science and engineering. The numerical methods and techniques themselves are emphasized rather than the specific applications. The Journal seeks to be interdisciplinary, while retaining the common thread of applied numerical analysis.

Numerische Mathematik publishes papers of the very highest quality presenting significantly new and important developments in all areas of Numerical Analysis. 'Numerical Analysis' is here understood in its most general sense, as that part of Mathematics that covers: 1. The conception and mathematical analysis of efficient numerical schemes actually used on computers (the 'core' of Numerical Analysis) 2. Optimization and Control Theory 3. Mathematical Modeling 4. The mathematical aspects of Scientific Computing

Operations Research Letters is a publication for literature on all aspects of operations research and the management and decision sciences. The features distinguishing it from other journals in the field are* Concise articles, generally limited to 6 journal pages* Extended abstracts of two to four, announcing results without full proofs;* Rapid review and fast publication;* Broad coverage of the literature.Apart from the page limitation, originality, relevance, quality and clarity are the only criteria for selecting the material to be published. A sound methodological basis is a requirement, but technical correctness alone is not sufficient for publication. The subject matter can be theory, methodology, empirical studies, and applications. The mainstream of contributions focuses on new models, theorems, algorithms, and experimental work that the author wants to disseminate rapidly. We will publish theory and methodology with proofs omitted or only sketched, provided that the author submits support material that enables us to verify the findings. We will also publish computational and experimental studies that are not necessarily based on new theory or methodology, but are of significant scientific value because they confirm or refute prior results. Similarly, we will publish reports on applications and case studies that demonstrate a novel use of existing techniques or contain significant ideas about data collection and analysis, modelling, or implementation.Area Editors:Approximation and heuristicsGerhard J. WoegingerThe area covers all issues relevant to the development of efficient approximate solutions to computationally difficult problems. Examples are heuristic approaches like local search, worst case analysis or competitive analysis of approximation algorithms, complexity theoretic results, and computational investigations of heuristic approaches.Continuous optimizationPatrice MarcottePapers in all fields of continuous optimization that are relevant to operations research are welcome. These areas include, but are not restricted to, nonlinear programming (constrained or unconstrained, convexor nonconvex, smooth or nonsmooth, exact or heuristic, finite or infinite-dimensional), complementarity, variational inequalities, bilevel programming, and mathematical programs with equilibrium constraints.Financial engineeringJussi S. KeppoFinancial engineering utilizes operations research methods (such as optimization, simulation, decision analysis and stochastic control) to analyze financial markets. This area is interested in papers that innovate in terms of methods or models that help financial applications. The studied problem examples include the pricing and hedging of financial instruments, credit and energy markets and portfolio selectionGame theoryNimrod MegiddoThe area published papers in game theory with relevance to the field of operations research.Graphs and networksGianpaolo OrioloThe 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 controlSridhar SeshadriThe area welcomes innovative papers focused on inventory management. Examples of topics include, but are not limited to supply chain management, pricing, capacity planning, multi-item/echelon systems, algorithms and bounds, and incentive design.Life sciences and healthcareGunnar W. KlauOperations research methodologies are used in the healthcare sector, for example, in treatment or clinical trial design, robotic surgery, location of healthcare facilities, medical resource allocation, and vaccine scheduling. Recently, operations research is likewise emerging as a crucial component of basic research in the life sciences, for example, in genomeassembly, phylogenetics and network biology, structural biology and drug design. The area welcomes theoretical and applied contributions to these and related fields.Linear and stochastic optimizationRüdiger SchultzThe area solicits original articles dealing with theoretical and computational issues in linear optimization or optimization under stochastic uncertainty.Logistics and revenue managementMahesh NagarajanThe area includes topics related to operations management and supply chain design such as location problems, production planning, transportation and routing, and revenue management and pricing. We welcome papers that study existing or new models and applications in these areas and provide significant new results. Examples are papers introducing new models, new algorithms or new analysis of known models or algorithms. Emphasis will be put on the relative importance of the paper's contribution to known theory and practice.Mixed integer optimizationVolker KaibelAll 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.Reliability and maintenance optimizationJeffrey P. KharoufehThe area invites novel reliability and maintenance optimization contributions with a rigorous operations research component. Examples include, but are not limited to, stochastic models of reliability, dynamic maintenance decision making, novel uses of data within analytical frameworks, matrix-analytic methods and asymptotic results. The area will consider formal models, algorithms, bounds and computational advances.SchedulingMarc UetzWe 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 aslong as the relevance of a problem and significance of the contribution is made compellingly clear.Stochastic networks &queuesJohn HasenbeinThe area focuses on networks and queueing systems where stochastic variability and uncertainty play a crucial role. The area seeks papers that propose original models and develop novel analytical or computational methods. Innovative ideas and broad results receive precedence over incremental extensions or niche areas.

Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness. The subject involves the optimization of systems described by differential or difference equations and even covers hybrid systems and non-linear programming and optimization methods. The class of problems covered includes: static and dynamic optimization, linear-quadratic control, nonlinear optimal control, optimal systems design, dynamic programming, optimal stochastic control, periodic optimal control, optimal estimation, multi-criteria and multiple model optimal control, singular perturbation methods, repetitive control, the optimal control of large-scale or distributed systems, and time-delay systems. Papers on the theory of systems with great applications potential will be particularly encouraged including papers on areas such as predictive control, optimal adaptive control, nonlinear, safety critical and reliable control . There is a significant interest in applications, which includes: process and manufacturing, aerospace and defence, marine and automotive systems, structural and mechanical design, robotics and manufacturing systems, chemical, petrochemical and industrial processes, electric power generation and distribution systems, energy systems and management, operations research and business, socio-economic models, biological and biomedical systems, environmental control, water treatment and ecology management, electrical and electronic systems and health care and support. It also covers a wide range of interdisciplinary and complex systems problems, where multi-agent software solutions, intelligent sensors and either dynamic or static optimization plays a major role.

Optimization publishes refereed, theoretical and applied papers on the latest developments in fields such as linear, nonlinear, stochastic, parametric, discrete and dynamic programming, control theory and game theory. A special section is devoted to review papers on theory and methods in interesting areas of mathematical programming and optimization techniques. The journal also publishes conference proceedings, book reviews and announcements. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees. Disclaimer Taylor & Francis makes every effort to ensure the accuracy of all the information (the 'Content') contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

Optimization Methods and Software publishes refereed papers on the latest developments in the theory and realization of optimization methods, with particular emphasis on the interface between software development and algorithm design. Topics include: * Theory, implementation and performance evaluation of algorithms and computer codes for linear, nonlinear, discrete, stochastic optimization and optimal control. This includes in particular conic, semi-definite, mixed integer, network, non-smooth, multi-objective and global optimization by deterministic or nondeterministic algorithms. * Algorithms and software for complementarity, variational inequalities and equilibrium problems, and also for solving inverse problems, systems of nonlinear equations and the numerical study of parameter dependent operators. * Various aspects of efficient and user-friendly implementations: e.g. automatic differentiation, massively parallel optimization, distributed computing, on-line algorithms, error sensitivity and validity analysis, problem scaling, stopping criteria and symbolic numeric interfaces. * Theoretical studies with a clear potential for applicability, as well as successful applications of optimization methods and software in specific areas such as engineering, machine learning, data mining, economics, finance, biology, or medicine. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees. Disclaimer Taylor & Francis makes every effort to ensure the accuracy of all the information (the 'Content') contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

Pervasive computing, often synonymously called ubiquitous computing, is an emerging field of research that brings in revolutionary paradigms for computing models in the 21st century. Tremendous developments in such technologies as wireless communications and networking, mobile computing and handheld devices, embedded systems, wearable computers, sensors, RFID tags, smart spaces, middleware, software agents, and the like, have led to the evolution of pervasive computing platforms as natural successor of mobile computing systems. The goal of pervasive computing is to create ambient intelligence where network devices embedded in the environment provide unobtrusive connectivity and services all the time, thus improving human experience and quality of life without explicit awareness of the underlying communications and computing technologies. In this environment, the world around us (e.g., key chains, coffee mugs, computers, appliances, cars, homes, offices, cities, and the human body) is interconnected as pervasive network of intelligent devices that cooperatively and autonomously collect, process and transport information, in order to adapt to the associated context and activity.The Pervasive and Mobile Computing Journal (PMC) is a professional, peer-reviewed journal that publishes high-quality scientific articles (both theory and practice) covering all aspects of pervasive computing and communications. Topics include, but not limited to:• Pervasive/Ubiquitous computing and communications architectures and protocols• Autonomic computing and communications• Mobile computing systems and services• Ambient, invisible, implicit, and adaptive computing• Mobile grid and peer-to-peer computing• Algorithmic paradigms, models and analysis of pervasive computing systems• Smart spaces and intelligent environments• Enabling technologies (e.g., Bluetooth, BANs, PANs, 802.11 wireless LANs)• Embedded systems and wearable computers• Wireless sensors networks and RFID technologies• Virtual immersion communications• Multiple inter-connected networking technologies (e.g., cellular, ad hoc, hybrid)• Positioning and tracking technologies• Auto-configuration and authentication• Context-aware computing and location-based services and applications• Service creation, discovery, management, and delivery mechanisms• Middleware and agent technologies• Application layer protocols and services• Programming paradigms for pervasive and ubiquitous computing applications• User interfaces and interaction models• Runtime support for intelligent, adaptive agents• (Innovative) applications requirements, performance, and benchmarking• Security, privacy, fault-tolerance and resiliency issues.

The AMS has published peer-reviewed journals of the highest quality in mathematical research for over 100 years. Each journal is unique in its offering of articles, book reviews, and reports. And each is managed by editors who are prominent in their fields. In addition to publishing and distributing printed journals, the AMS offers searchable electronic versions. Articles are posted before they are included in an issue, so the electronic versions are available prior to the print versions.

The journal Psychometrika is devoted to the advancement of theory and methodology for behavioral data in psychology, education and the social and behavioral sciences generally. Its coverage is offered in two sections: Theory and Methods (T& M), and Application Reviews and Case Studies (ARCS). T&M articles present original research and reviews on the development of quantitative models, statistical methods, and mathematical techniques for evaluating data from psychology, the social and behavioral sciences and related fields. Application Reviews can be integrative, drawing together disparate methodologies for applications, or comparative and evaluative, discussing advantages and disadvantages of one or more methodologies in applications. Case Studies highlight methodology that deepens understanding of substantive phenomena through more informative data analysis, or more elegant data description. Officially cited as: Psychometrika Psychometrika is published in cooperation with The Psychometric Society.

Qualitative Theory of Dynamical Systems (QTDS) publishes high-quality peer-reviewed research articles on the theory and applications of discrete and continuous dynamical systems. The journal addresses mathematicians as well as engineers, physicists, and other scientists who use dynamical systems as valuable research tools.
Bibliographic Data
Qual. Theory Dyn. Syst.
1 volume per year, 2 issues per volume
approx. 360 pages per volume
Format: 15.5 x 23.5 cm
ISSN 1575-5460 (print)
ISSN 1662-3592 (electronic) AMS Mathematical Citation Quotient (MCQ): 0.17 (2011)

The Quarterly of Applied Mathematics contains original papers in applied mathematics which have a close connection with applications. An author index appears in the last issue of each volume.This journal, published quarterly by Brown University with articles posted individually before appearing in an issue, is distributed by the American Mathematical Society (AMS). In order to take advantage of some features offered for this journal, users will occasionally be linked to pages on the AMS website.Copying and reprinting: Material in this journal may be reproduced by any means for educational and scientific purposes without fee or permission with the exception of reproduction by services that collect fees for delivery of documents and provided that the customary acknowledgment of the source is given. This consent does not extend to other kinds of copying for general distribution, for advertising or promotional purposes, or for resale. Requests for permission for commercial use of material should be addressed to the Division of Applied Mathematics, Brown University, 182 George Street, Box F, Providence, RI 02912 USA .Excluded from these provisions is material in articles for which the author holds copyright. In such cases, requests for permission to use or reprint should be addressed directly to the author(s). Copyright ownership is indicated in the notice in the lower right-hand corner of the first page of each article.

It is the aim of this journal to meet two main objectives: to cover the latest research on discrete random structures, and to present applications of such research to problems in combinatorics and computer science. The goal is to provide a natural home for a significant body of current research, and a useful forum for ideas on future studies in randomness. Results concerning random graphs, hypergraphs, matroids, trees, mappings, permutations, matrices, sets and orders, as well as stochastic graph processes and networks are presented with particular emphasis on the use of probabilistic methods in combinatorics as developed by Paul Erdos. The journal focuses on probabilistic algorithms, average case analysis of deterministic algorithms, and applications of probabilistic methods to cryptography, data structures, searching and sorting. The journal also devotes space to such areas of probability theory as percolation, random walks and combinatorial aspects of probability. Manuscripts should be submitted via email to the Managing Editor, Malgorzata Bednarska at random@amu.edu.pl . Information for contributors appears in the journal as space allows, and is available at http://onlinelibrary.wiley.com/resolve/openurl?genre=journal&issn=1042-9832/authors.html.