Journal Guide

Mathematical Modelling and Analysis publishes carefully selected, high quality papers which explore new and important developments in all areas of mathematical modelling and analysis. The scope of the Journal includes:All fields of numerical analysisMathematical aspects of scientific computingParallel algorithmsMathematical modellingAnalysis of ODE and PDEApproximation theoryOptimizationThis Journal is published in collaboration with the Vilnius Gediminas Technical University. For more information on the Journal, please click here.

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.

Nonlinear Analysis: Real World Applications welcomes all research articles of the highest quality with special emphasis on applying techniques of nonlinear analysis to model and to treat nonlinear phenomena with which nature confronts us. Coverage of applications includes any branch of science and technology such as solid and fluid mechanics, material science, mathematical biology and chemistry, control theory, and inverse problems.The aim of Nonlinear Analysis: Real World Applications is to publish articles which are predominantly devoted to employing methods and techniques from analysis, including partial differential equations, functional analysis, dynamical systems and evolution equations, calculus of variations, and bifurcations theory.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 Differential Equations and Applications (NoDEA) provides a forum for research contributions on nonlinear differential equations motivated by application to applied sciences.    The research areas of interest for NoDEA include, but are not limited to:

deterministic and stochastic ordinary and partial differential equations,finite and infinite-dimensional dynamical systems,qualitative analysis of solutions,variational, topological and viscosity methods,mathematical control theory,complex dynamics and pattern formation,approximation and numerical aspects.

The journal also welcomes application-oriented articles with strong mathematical content in scientific areas such as classical, statistical and quantum mechanics, fluid dynamics, electromagnetism, chemical kinetics, combustion theory, population dynamics, economics and finance. Bibliographic Data
Nonlinear Differ. Equ. Appl.
First published in 1994
Up from 2006: 1 volume per year, 6 issues per volume 
Format: 15.5 x 23.5 cm<

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.

In original research papers, Numerical Functional Analysis and Optimization examines the development and applications of functional analysis and operator theoretic methods in numerical analysis, approximation theory, optimization, control and systems theory, harmonic analysis, and signal processing. Emphasis is placed on interaction and unification of these fields, and the use of abstract methods to provide insight and fundamental contributions to problems and models in the natural, physical, engineering, and decision sciences. Numerical Functional Analysis and Optimization occasionally features comprehensive survey and expository articles, annotated bibliographies, book reviews, and an entire issue devoted to one topic. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

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.

The purpose of Positivity is to provide an outlet for high quality original research in all areas of analysis and its applications to other disciplines having a clear and substantive link to the general theme of positivity. Specifically, articles that illustrate applications of positivity to other disciplines - including but not limited to - economics, engineering, life sciences, physics and statistical decision theory are welcome.The scope of Positivity is to publish original papers in all areas of mathematics and its applications that are influenced by positivity concepts. This includes the following areas.ordered topological vector spaces (including Banach lattices and ordered Banach spaces)positive and order bounded operators (including spectral theory, operator equations, ergodic theory, approximation theory and interpolation theory)Banach spaces (including their geometry, unconditional and symmetric structures, non-commutative function spaces and asymptotic theory)C and other operator algebras (especial

This journal publishes original papers dealing with potential theory and its applications, probability theory, geometry and functional analysis and in particular estimations of the solutions of elliptic and parabolic equations; analysis of semi-groups, resolvent kernels, harmonic spaces and Dirichlet forms; Markov processes, Markov kernels, stochastic differential equations, diffusion processes and Levy processes; analysis of diffusions, heat kernels and resolvent kernels on fractals; infinite dimensional analysis, Gaussian analysis, analysis of infinite particle systems, of interacting particle systems, of Gibbs measures, of path and loop spaces; connections with global geometry, linear and non-linear analysis on Riemannian manifolds, Lie groups, graphs, and other geometric structures; non-linear or semilinear generalizations of elliptic or parabolic equations and operators; harmonic analysis, ergodic theory, dynamical systems; and boundary value problems, Martin boundaries, Poisson boundaries.

This journal publishes research papers in modern probability theory, its relations to analysis, geometry and other areas in mathematics, and its various fields of application. It also contains survey papers on emerging areas of importance. The subjects covered in Probability Theory and Related Fields include: statistical mechanics, ergodic theory, mathematical biology, filtering theory, mathematical statistics, theoretical computer science, optimization and control, stochastic geometry, and stochastic algorithms.