Computational Algorithms and Numerical Dimensions (CAND) is an international scholarly , 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, orthogonal polynomials, computational complexity, variational inequalities, control, machine learning, and related areas of engineering and scientific applications.
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5. Developed a new fuzzy approach for solving two-machine flow shop scheduling problems under fuzziness FullText
7. A fuzzy compromise solution framework for assessing the early effect of COVID-۱۹ on global stock indices FullText
10. The modification of the generalized gauss-seidel iteration techniques for absolute value equations FullText
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