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This journal advances and promotes the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.

Submission to the Journal of Combinatorial Theory, Series A (JCT A / JCTA) via http://ees.elsevier.com/jctaElsevier's Editorial System.

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The multidisciplinary Journal of Complexity publishes original research papers that contain substantial mathematical results on complexity as broadly conceived. Outstanding review papers will also be published. In the area of computational complexity, the focus is on complexity over the reals, with the emphasis on lower bounds and optimal algorithms. The Journal of Complexity also publishes articles that provide major new algorithms or make important progress on upper bounds. Other models of computation, such as the Turing machine model, are also of interest. Computational complexity results in a wide variety of areas are solicited.Areas Include:• Approximation theory• Biomedical computing• Compressed computing and sensing• Computational finance• Computational number theory• Computational stochastics• Control theory• Cryptography• Design of experiments• Differential equations• Discrete problems• Distributed and parallel computation• High and infinite-dimensional problems• Information-based complexity• Inverse and ill-posed problems• Machine learning• Markov chain Monte Carlo• Monte Carlo and quasi-Monte Carlo• Multivariate integration and approximation• Noisy data• Nonlinear and algebraic equations• Numerical analysis• Operator equations• Optimization• Quantum computing• Scientific computation• Tractability of multivariate problems• Vision and image understandingBenefits 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

The aim of this journal is to provide an international forum for the dissemination of the state-of-the-art information in the field of Computational Acoustics.Topics covered by this journal include research and tutorial contributions in OCEAN ACOUSTICS (a subject of active research in relation with sonar detection and the design of noiseless ships), SEISMO-ACOUSTICS (of concern to earthquake science and engineering, and also to those doing underground prospection like searching for petroleum), AEROACOUSTICS (which includes the analysis of noise created by aircraft), COMPUTATIONAL METHODS, and SUPERCOMPUTING. In addition to the traditional issues and problems in computational methods, the journal also considers theoretical research acoustics papers which lead to large-scale scientific computations.The journal strives to be flexible in the type of high quality papers it publishes and their format. Equally desirable are*Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational acoustics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research in which other than strictly computational arguments may be important in establishing a basis for further developments.*Tutorial review papers, covering some of the important issues in Computational Mathematical Methods, Scientific Computing, and their applications.*Short notes, which present specific new results and techniques in a brief communication. The journal will occasionally publish significant contributions which are larger than the usual format for regular papers. Special issues which report results of high quality workshops in related areas and monographs of significant contributions in the Series of Computational Acoustics will also be published.

Journal of Computational Biology is the leading journal covering the analysis, management, and visualization of cellular information at the molecular level. The Journal publishes peer-reviewed papers focusing on novel, cutting-edge methods in computational biology and bioinformatics. Topics include:• Genomics• Mathematical modeling and simulation• Distributed and parallel biological computing• Designing biological databases• Pattern matching and pattern detection• Linking disparate databases and data• New tools for computational biology• Relational and object-oriented database technology for bioinformatics• Biological expert system design and use• Reasoning by analogy, hypothesis formation, and testing by machine• Management of biological databases.

This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological,inorganic, organic and physical. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the Journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.

The Journal of Computational Electronics brings together research on the full spectrum of modeling and simulation of modern electronics. It addresses optical, electronic, mechanical, and quantum mechanical aspects of the field. Research into the underlying mathematical algorithms and computational details is also highlighted. In addition, the journal examines the related areas of molecular and biological systems in which the thrust is on transport, mechanical, and optical properties. Lastly, the journal draws special attention to the advances and challenges arising from applications in multiscale problems. Specific areas explored include semiconductor devices, optical devices, process simulation, nano-electro-mechanical systems, mathematical approaches, correlated areas, and open quantum systems.

Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory.The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging 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.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.

The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest.The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.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

Journal of Computational and Graphical Statistics works to improve and extend the use of computational and graphical methods in statistics and data analysis. Established in 1992, JCGS contains cutting-edge research, data, surveys, and more on numerical methods, graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics, but are not necessarily experts in computing.

Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.