Computational Algorithms and Numerical Dimensions
Computational Algorithms and Numerical Dimensions (CAND) is an international scholarly open access, interdisciplinary, fully refereed, and quarterly free of charge journal as a non-commercial publication. The journal is intended to be accessible to a broad spectrum of researchers in numerical methods throughout science and engineering, and publishes original, review, case studies, and short communication contributions to all aspects of numerical and computational modeling including numerical analysis, numerical linear algebra, numerical engineering, differential/integral equations (ordinary, partial, fractional), scientific computing, computational mathematics, approximation and analytical methods, splitting and parallel computing, interpolation, machine learning, and related areas of engineering and scientific applications.
Journal WebsiteAims & scope
Computational Algorithms and Numerical Dimensions (CAND) is an international interdisciplinary forum for publication of papers on state-of-the-art developments in numerical and computational modeling with applications. The principal focus of the journal is on numerical methods, as well as the design and use of algorithms for scientific computing. Topics emphasized by CAND include numerical analysis, numerical linear algebra, numerical engineering, differential/integral equations (ordinary, partial, fractional), scientific computing, computational mathematics, and related areas of engineering, and scientific applications.
Editorial boardEditor-in-Chief
S. A. Edalatpanah
Associate Professor, Ayandegan Institute of Higher Education, Tonekabon, Iran
Publishing model
Quarterly free of charge journal as a non-commercial publication
International Standard Serial Number
Print ISSN: Pending
Online ISSN: Pending
Journal Statistics
All the Original, Application, short case, and case study documents submitted to the CAND are published free of charge and there is no article submission charge.
43
Accept Date (Days)
29%
Acceptance Rate
214
Number of Reviewers