Journal of Numerical Analysis and Approximation Theory

Aims & Scope

Journal of Numerical Analysis and Approximation Theory publishes original papers presenting rigorous analysis, numerical methods with theoretical results (accuracy, convergence, stability), computational examples, development and implementation of numerical algorithms, and the interplay between these aspects for topics such as: differential equations (ordinary and partial), optimization, control theory, inverse problems, nonlinear equations and systems, iterative methods, numerical linear algebra, applied functional analysis, approximation theory, interpolation, mathematical aspects of neural networks and machine learning, mathematical modeling, scientific computing. Papers dealing with iterative methods in R n , accompanied by numerical applications, are preferred to settings in R or abstract spaces (with no concrete applications indicated). Applications and strong connections to the aspects mentioned above are mandatory for papers whose main topics concern, for example, inequalities, fractional equations, fuzziness. It is recommended that original papers do not exceed 25 pages in length. The journal also publishes survey papers in all areas of Numerical Analysis and Approximation Theory, recommended not to exceed 40 pages.

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Source: OpenAlex · Note: citations accumulate over time so older years appear higher

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Subject Classification