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Aims:The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.Topics of interest:Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Chaos and encryption, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.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

This journal aims to publish high quality papers concerning any theoretical aspect of partial differential equations, as well as its applications to other areas of mathematics. Suitability of any paper is at the disgression of the editors. We seek to present the most significant advances in this central field to a wide readership which includes researchers and graduate students in mathematics and the more mathematical aspects of physics and engineering. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

Communications on Pure and Applied Mathematics (ISSN 0010-3640) is published monthly, one volume per year, by John Wiley & Sons, Inc. Copyright (C) 2001 John Wiley & Sons, Inc. All rights reserved. The journal publishes papers originating at or solicited by the Courant Institute of Mathematical Sciences . It features recent developments in applied mathematics, mathematical physics, and mathematical analysis. The topics include partial differential equations, computer science, and applied mathematics. CPAM is devoted to mathematical contributions to the sciences; both theoretical and applied papers, of original or expository type, are included. Authors of papers accepted for publication are expected to submit their contributions formatted electronically in AMSTeX, LaTeX, or TeX.

Complex Analysis and Operator Theory (CAOT) is devoted to the publication of current research developments in the closely related fields of complex analysis and operator theory as well as in applications to system theory, harmonic analysis, probability, statistics, learning theory, and other related fields. Articles using the theory of reproducing kernel spaces are in particular welcomed. CAOT is published in four regular and four sectional issues per year, the latter organised in two sections of two issues each. One section concentrates on Higher Dimensional Geometric Function Theory and Hypercomplex Analysis; the other focusses on Infinite-dimensional Analysis and Non-commutative Theory.   Bibliographic Data
Complex Anal. Oper. Theory
First published in 2007
1 volume per year, 6 issues per volume
approx. 1200 pages per volume
Format: 15.5 x 23.5 cm
ISSN 1661-8254 (print)
ISSN 1661-8262 (electronic)

AMS Mathematical Citation Quotient (MCQ): 0.56 (2011)

Complex Variables and Elliptic Equations is devoted to complex variables and elliptic equations including linear and nonlinear equations and systems, functional theoretical methods and applications, functional analytic, topological and variational methods, spectral theory, sub-elliptic and hypoelliptic equations, multivariable complex analysis and analysis on Lie groups, homogeneous spaces and CR-manifolds. The Journal was formally published as Complex Variables Theory and Application.All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.DisclaimerTaylor & Francis makes every effort to ensure the accuracy of all the information (the 8220;Content8221;) 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.

computational biology, bioinformatics, computational chemistry, computation in engineering, computational fluid dynamics, molecular dynamics

Computational Mechanics reports original research in computational mechanics of enduring scholarly value. It focuses on areas that involve and enrich the rational application of mechanics, mathematics, and numerical methods in the practice of modern engineering. The journal investigates theoretical and computational methods and their rational applications. Areas covered include solid and structural mechanics, multi-body system dynamics, constitutive modeling, inelastic and finite deformation response, and structural control. The journal also covers fluid mechanics and fluid-structure interactions, biomechanics, free-surface and two-fluid flows, aerodynamics, fracture mechanics and structural integrity, multi-scale mechanics, particle and meshfree methods, transport phenomena, and heat transfer. Lastly, the journal publishes modern variational methods in mechanics in general.

CMFT is an international mathematics journal which publishes carefully selected original research papers in complex analysis (in a broad sense), and on applications or computational methods related to complex analysis. Survey articles of high standard and current interest can be considered for publication as well. Contributed papers should be written in English (exceptions in rare cases are tolerated), and in a lucid, expository style. Papers should not exceed 30 printed pages.

This journal publishes research on the analysis and development of computational algorithms and modeling technology for optimization. It examines algorithms either for general classes of optimization problems or for more specific applied problems, stochastic algorithms as well as deterministic algorithms. Computational Optimization and Applications covers a wide range of topics in optimization, including: large scale optimization, unconstrained optimization, constrained optimization, nondifferentiable optimization, combinatorial optimization, stochastic optimization, multiobjective optimization, and network optimization. It also covers linear programming, complexity theory, automatic differentiation, approximations and error analysis, parametric programming and sensitivity analysis, management science, and more. This peer-reviewed journal features both research and tutorial papers that provide theoretical analysis, along with carefully designed computational experiments.Officially cited as: Comput Optim Appl

Computational Statistics & Data Analysis (CSDA), the official journal of the International Association of Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of three refereed sections, and a fourth section dedicated to news on statistical computing. The refereed sections are divided into the following subject areas:I) Computational Statistics - Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics, computational econometrics, computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), and 2) the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.II) Statistical Methodology for Data Analysis - Manuscripts dealing with novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, econometrics, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures.Statistical methodology includes, but not limited to: bootstrapping, classification techniques, clinical trials, data exploration, density estimation, design of experiments, pattern recognition/image analysis, parametric and nonparametric methods, statistical genetics, Bayesian modeling, outlier detection, robust procedures, cross-validation, functional data, fuzzy statistical analysis, mixture models, model selection and assessment, nonlinear models, partial least squares, latent variable models, structural equation models, supervised learning, signal extraction and filtering, time-series modelling, longitudinal analysis, multilevel analysis and quality control.III) Special Applications - Manuscripts at the interface of statistics and computing (e.g., comparison of statistical methodologies, computer-assisted instruction for statistics, simulation experiments). Advanced statistical analysis with real applications (economics, social sciences, marketing, psychometrics, chemometrics, signal processing, finance, medical statistics, environmentrics, statistical physics).

Computational & Applied Mathematics began to be published in 1981. This journal was conceived as the main scientific publication of SBMAC (Brazilian Society of Computational and Applied Mathematics).   The objective of the journal is the publication of original research in Applied and Computational Mathematics, with interfaces in Physics, Engineering, Chemistry, Biology, Operations Research, Statistics, Social Sciences and Economy. The journal has the usual quality standards of scientific international journals and we aim high level of contributions in terms of originality, depth and relevance. CAM is currently reviewed in Mathematical Reviews and Institute of Scientific Information (Webofscience).  

Computational & Mathematical Organization Theory has been accepted for Social Sciences Citation Index, Science Citation Index Expanded, and Current Contents/Social & Behavioral Sciences, and will first appear with an Impact Factor in the Journal Citation Reports 2010, published in 2011. Computational & Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for inte

Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine industrial application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica. Control Engineering Practice papers will tend to be shorter, and relevant to industrial readers.In addition to purely technical applications papers the journal carries papers on topics linked to the application of automation, including social effects, cultural aspects, project planning and system design, and economic and management issues.The scope of Control Engineering Practice matches the activities of IFAC:• Aerospace • Marine systems • Communication systems • Biomedical engineering • Pulp and paper processing • Environmental engineering • Scientific instrumentation • Transportation and vehicles • Power generation and other utilities • Mining, mineral and metal processing • Chemical and biotechnical process control • Manufacturing technology and production engineeringThe journal covers all applicable technologies:• Robotics • Identification • Signal processing • Project management • Autonomous vehicles • Powertrains • Computer networking • Modelling and simulation • Human-computer systems • Components and instruments • Adaptive and robust control • Electromechanical components • Model-based control techniques • Fault detection and diagnostics • Software engineering techniques • Hydraulic and pneumatic components • Real-time and distributed computing • Intelligent components and instruments • Architectures and algorithms for control • Computer-aided systems analysis and design • Software design, verification, safety, etc. • Artificial intelligence techniques, including fuzzy control neural networks and genetic algorithms.For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.org

Cryptography and Communications: Discrete Structures, Boolean Functions and Sequences publishes scholarly research dedicated to improving the quality of the Discrete Structures, Boolean Functions and Sequences used in communication and cryptographic systems. This research aims to increase the speed and capacity of digital communication and strengthen security by improving the encryption necessary to combat cryptanalytic attacks. With improved encryption, communication will become more secure from the cryptanalytic attacks that threaten the confidentiality and integrity of personal data stored on and transmitted by mobile devices. Increasing the speed, reliability, and capacity of wireless communication is essential for growth, since the radio spectrum is a bounded resource. While sometimes treated as separate entities with distinct research goals, communication and cryptography often use similar models and techniques and work in tandem in digital networks. As a result, this journal’s distinctive combination encourages researchers to strive for advancements that will improve both areas simultaneously, thus providing a publishing forum for these domains, covering all the fundamental and computational aspects of these research fields. The journal publishes high-quality papers dealing with cryptography, error-correcting codes, communications and their interactions. Both theoretical and applied papers will be considered, with an emphasis on supporting applications. Applications include channel coding, wireless communications (e.g., mobile phones and satellite communications), security of the Internet, banking transfer security, and embedded security devices. The scope of the journal focuses on discrete structures used in stream and block ciphers in symmetric cryptography: code division multiple access in communications: and random number generation for statistics, cryptography and numerical methods. In, particular, papers covering Boolean functions and sequences, without excluding any other discrete structure used in cryptography and communications, such as finite fields and other algebraic structures, are strongly encouraged. Topics include, but are not limited to: Boolean functions for pseudo-random generators in stream ciphers and related cryptographic criteria Weights and nonlinearity of Boolean functions, character sums Fourier and Walsh transforms and their relation to sequences and Boolean functions Multi-output (vectorial) Boolean functions for substitution (S-) boxes in block ciphers, differential and nonlinearity characteristics Designs and (single or multi-output) Boolean functions Diffusion in block ciphers and Boolean functions Cryptanalyses of stream and block ciphers and their relation to discrete structures Combinatorics, coding, cryptography and sequences Finite fields (or Galois rings), coding, cryptography, and sequences Connections between sequences and abstract algebra Permutation and multivariate polynomials over finite fields and their use in cryptography Linear feedback shift registers, feedback with carry shift registers, and other sequence generators Correlation of sequences Complexity measures of sequences and multisequences Pseudo-randomness of sequences Shift register synthesis