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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 Letters covers all aspects of optimization, including theory, algorithms, computational studies, and applications. Optimization has been expanding in all directions at an astonishing rate during the last few decades, and this journal provides an outlet for the rapid publication of short communications in the field. Optimization Letters features concise, short articles, limited to a total of ten journal pages. Such concise articles will be easily accessible by readers working in any aspect of optimization and wish to be informed of recent developments.Officially cited as: Optim Lett

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.

This journal promotes the application of optimization methods in the engineering sciences. This includes facilitating the development of advanced optimization methods for direct or indirect use in engineering. The journal provides a forum in which engineers obtain information about recent advances of optimization sciences, and researchers in mathematical optimization learn about the needs of engineering sciences and successful applications of optimization methods. It closes the gap between optimization theory and the practice of engineering. Optimization and Engineering presents all optimization methods of relevance to applications in engineering sciences: deterministic and stochastic, continuous, mixed integer and discrete, when they are relevant to applications in engineering sciences. It also highlights successful applications of optimization in various areas and contains a special section for readers without a strong background in the field, which offers material aimed at educating potential users of opti

This journal presents original research concerning the theory and applications of ordered sets. It covers all theoretical aspects of the subject, with emphasis on research in algebra and lattice theory, combinatorics and set systems, directed and undirected graphs, computational and discrete geometry, theoretical computer science, and the theory of sets and relational structures. In addition, Order presents applications of order-theoretic methods in these mathematical areas and in more algorithmically oriented research in computing and operations research. It offers coverage that is broadly representative of the best research on ordered structures and their applications. Given the wide scope of the journal, prospective authors are asked to identify a member [or members] of the editorial board whose research interests are closest to the contents of the submission. This helps to ensure both that submissions fit the journal's scope and that the review process begins efficiently.

Publishing international research papers on current practical issues in applied economics, the Oxford Bulletin of Economics and Statistics is essential reading for academic and professional economists in both the private and public sector. Whilst the Oxford Bulletin of Economics and Statistics publishes papers in all areas of applied economics, emphasis is placed on the practical importance, theoretical interest and policy-relevance of their substantive results, as well as on the methodology and technical competence of the research. Contributions on the topical issues of economic policy and the testing of currently controversial economic theories are encouraged, as well as more empirical research on both developed and developing countries.

PLoS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery.Research articles that primarily describe new methods and offer only limited biological insight will be considered only in those exceptional instances in which the method is expected to significantly impact the field of computational biology, typically making substantial breakthroughs in areas of demonstrated importance. Research articles modeling aspects of biological systems should demonstrate both scientific novelty and profound new biological insights. Research articles describing improved or routine methods, models, software, and databases will not be considered by PLoS Computational Biology, and may be more appropriate for PLoS ONE.Generally, reliability and significance of biological discovery are validated and enriched by experimental studies. Experimental validation is not required for publication, however, nor does experimental validation of a modest biological discovery render a manuscript suitable for PLoS Computational Biology.For all submissions, authors must clearly provide detail, data, and software to ensure readers' ability to reproduce the models, methods, and results.Authors unsure of whether their work is within the scope of the journal should submit a presubmission inquiry.

PRIMUS: Problems, Resources, and Issues in Mathematics Undergraduate Studies is a refereed journal devoted to dialogue and exchange of ideas among those interested in teaching undergraduate mathematics. This includes those who prepare students for college level mathematics, those who teach college level mathematics, and those who receive students who have been taught college level mathematics.Each issue contains relevant and worthwhile material for those interested in collegiate mathematics education. While the primary interest is in first person descriptive and narrative articles about implemented teaching strategies and interesting mathematics, there is also opportunity for writing broad survey articles, formal studies of new teaching approaches, assessments of planned and in place strategies, and general discussion writing on teaching undergraduate mathematics.The journal motto, 8220;The lightning spark of the thought generated in the solitary mind awakens in another mind . . .8221; by the Scottish essayist Thomas Carlyle means that publishing in PRIMUS is a way of sharing ideas so that others can use and build upon the author's efforts. We welcome your ideas and experiences.

We establish universal inequalities for the eigenvalues of the clamped plate problem on compact submanifolds of Euclidean space, of spheres and of real, complex and quaternionic projective spaces. We prove similar results for the biharmonic operator on domains of Riemannian manifolds that admit spherical eigenmaps (this includes compact homogeneous Riemannian spaces) and finally on domains of hyperbolic space.

Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture, system software, programming systems and tools, and applications. Within this context the journal covers all aspects of high-end parallel computing.Parallel Computing features original research work, tutorial and review articles as well as novel or illustrative accounts of application experience with (and techniques for) the use of parallel computers. Contributions can cover:• System software for parallel computer systems including programming languages (new languages as well as compilation techniques), operating systems (including middleware), and resource management (scheduling and load-balancing).• Enabling software including debuggers, performance tools, and system and numeric libraries.• General hardware (architecture) concepts, new technologies enabling the realization of such new concepts, and details of commercially available systems• Software engineering and productivity as it relates to parallel computing• Application or tool case studies demonstrating novel ways to achieve parallelism• Performance measurement results on state-of-the-art systems• Approaches to effectively utilize large-scale parallel computing including new algorithms or algorithm analysis with demonstrated relevance to real applications using existing or next generation parallel computer architectures.• Parallel I/O systems both hardware and software• Networking technology for support of high-speed computing demonstrating the impact of high-speed computation on parallel applicationsBenefits 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