Acta Numerica
Material type:
E-journalAnalytics: Show analyticsPublisher: Cambridge : Cambridge University Press, 1992-Description: 1 recurso en línea.ISSN: 1474-0508 (edición electrónica); 0962-4929 (edición impresa).Subject: Análisis numérico -- Publicaciones periódicas
Summary: 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. Cambridge University PressHoldings: | Vol 9 (2000)- |
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
REVISTA-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA297 ES (Browse shelf(Opens below)) | Acceso electrónico | eREVISTA.30082022 |
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. Cambridge University Press
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