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Applied Numerical Analysis & Computational Mathematics is a peer-reviewed journal published by Wiley, covering Numerical methods for differential equations, Matrix Theory and Algorithms, Advanced Numerical Methods in Computational Mathematics.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Applied Numerical Analysis & Computational Mathematics 12 (3): 45–58.
Formats any DOI in Applied Numerical Analysis & Computational Mathematics style. No sign-up. |
| Publishes research in | Numerical methods for differential equations Matrix Theory and Algorithms Advanced Numerical Methods in Computational Mathematics Electromagnetic Simulation and Numerical Methods Electromagnetic Scattering and Analysis |
| ISSN | 1611-8170 |
| h-index | 17 |
| i10-index | 27 |
| Total citations | 987 |
| Top institutions publishing here | Istanbul Technical University |
| Journal website | www3.interscience.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Software is developed in Matlab to solve initial–boundary value problems for first order systems of hyperbolic partial differential equations (PDEs) in one space variable x and time t . (© 2005 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Abstract The Nelder–Mead or simplex search algorithm is one of the best known algorithms for unconstrained optimization of non–smooth functions. Even though the basic algorithm is quite simple, it is implemented in many different ways. Apart from some minor computational details, the main difference between various implementations lies in the selection of convergence (or termination)…
V-cycle, F-cycle and W-cycle multigrid algorithms for interior penalty methods for second order elliptic boundary value problems are studied in this paper. It is shown that these algorithms converge uniformly with respect to all grid levels if the number of smoothing steps is sufficiently large, and that the contraction numbers decrease as the number of…
Abstract We propose a highly flexible sequential methodology for the experimental analysis of optimization algorithms. The proposed technique employs computational statistic methods to investigate the interactions among optimization problems, algorithms, and environments. The workings of the proposed technique are illustrated on the parameterization and comparison of both a population–based and a direct search algorithm, on…
Abstract In this paper an exponential fitted partitioned linear multistep method is developed for the long term integration of the N‐body problem. The new method integrates exactly any linear combination of the functions 1, x , x 2 , x 3 ,…, x 2 k –1 , exp(± wx ) for the coordinates and any…
