University Of Zambia Online Public Access Catalogue
Acta Numerica
Material type:
Continuing resourceAnalytics: Show analyticsPublisher: Cambridge ISSN: 1474-0508.Subject(s): MathematicsSummary: Acta Numerica is the top-cited journal for the last two years in MathSciNet. Its annual collection of review articles includes survey papers by leading researchers in numerical analysis and scientific computing. The papers present overviews of recent advances and provide state-of-the-art techniques and analysis. Covering the breadth of numerical analysis, articles are written in a style accessible to researchers at all levels and can serve as advanced teaching aids. Broad subject areas for inclusion are computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis and nonlinear dynamical systems, as well as the application of computational techniques in science and engineering and the mathematical theory underlying numerical methods.
| Item type | Current location | Call number | URL | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Electronic Resource
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Main Library Serials | HTTPS://WWW.CAMBRIDGE.ORG (Browse shelf) | https://www.cambridge.org/core/journals/acta-numerica | 1 | Available | 050811992 | |
|
Electronic Resource
|
Main Library Serials | HTTPS://WWW.CAMBRIDGE.ORG (Browse shelf) | 2 | Available | 0508272018 |
Acta Numerica is the top-cited journal for the last two years in MathSciNet. Its annual collection of review articles includes survey papers by leading researchers in numerical analysis and scientific computing. The papers present overviews of recent advances and provide state-of-the-art techniques and analysis. Covering the breadth of numerical analysis, articles are written in a style accessible to researchers at all levels and can serve as advanced teaching aids. Broad subject areas for inclusion are computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis and nonlinear dynamical systems, as well as the application of computational techniques in science and engineering and the mathematical theory underlying numerical methods.
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