The peer review international periodical JNM@S: Journal of Numerical Mathematics and Stochastics will publish high-quality original contributions to numerical mathematics and stochastics, with an emphasis on work and methods with a potential for strengthening the ties between these two disciplines. Computational stochastics is a new and expanding area of research dealing with numerical methods of analyzing complex stochastic models. For this reason, the journal is intended to act as a numerical interface between mathematical sciences and stochastics.

The main objective of JNM@S is to publish papers presenting new computational results on deterministic and stochastic differential and integral equations, SDE’s and SIE’s, which model real-life problems (basically nonlinear) or have a potential for doing so. A second objective is to present new numerical methods for solving such problems.
        The emphasis in featured papers and letters would be on new methods and techniques rather than on the specific subjective conclusions on special cases. New methodologies include e.g. wavelets and frames, Markov-chain Monte Carlo methods, spatio-temporal techniques, neural networks methods, etc., and the scope of JNM@S includes (but is not limited to):

        •Discrete nonlinear random operators
        •Discretized identification and inverse problems
        •Numerical analysis of nonlinear problems
        •Functional SDE’s, in particular delay equations
        •Stochastic integral equations SIE’s, in particular evolution equations
        •Finite element schemes for stochastic boundary value problems SBVP’s
        •Monte Carlo methods for SBVP’s
        •Wavelet methods
        •Neural networks methods
        •Stochastic difference equations
        •Random fixed point numerical analysis
        •Discrete stochastic control
        •Numerics of financial and economic primitives
        •Strong and weak approximations
        •Stability, long time dynamics and ergodicity of approximation
        •Discretization of diffusion equations
        •Spatio-temporal modeling in stochastic processes
        •High resolution coding of stochastic processes

        Typical applications in numerical mathematics include solution of ordinary and partial differential equations, BVP’s, integral equations, and optimization. In computational stochastics the typical applications are on statistical characterization and prediction, computational inference in molecular population genetics, say, turbulent flow in fluids and the environment, molecular dynamics in chemistry and bioinformatics, economic dynamics and control and pricing American Options in finance.

Peer review process:
        To maintain the highest possible standards of quality, and based on a goal of timely publication, only a small fraction of submitted papers can be accepted for publication. The journal strives for a fast turn round in the review process. Submitted communications are assigned to an Editor, who makes a publication recommendation on the basis of a detailed and careful evaluation by at least one anonymous referee. Evaluation criteria used include, originality, substance, and quality of exposition. In addition, JNM@S will feature special issues devoted to specific topics in rapidly growing research areas.