𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Essential variables in hypersubstitutions

✍ Scribed by K. Denecke; J. Koppitz


Publisher
Springer
Year
2001
Tongue
English
Weight
142 KB
Volume
46
Category
Article
ISSN
0002-5240

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Essential oil variability of Thymus erio
✍ F. Sefidkon; R. Kalvandi; M. Atri; M. M. Barazandeh πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 78 KB πŸ‘ 2 views

Essential oils were obtained by hydrodistillation from the aerial parts of Thymus eriocalyx (Ronniger) Jalas, at full flowering stage, from various locations in central and west Iran. Gas chromatography and gas chromatographymass spectroscopy analyses of the oils revealed that the major components,

Functions Essentially Depending on at Mo
✍ Ilijas Farah πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 119 KB

In this note we analyze the question: When does a function f : | d Γ„ | essentially depend on at most one coordinate? (Here |=N \_ [0].) For example, the function depends on both variables. However, we can cover its domain by two rectangles, 2|\_| and (2|+1)\_|, such that f depends on at most one va

Capturing the essential spatial variabil
✍ Baxter E. Vieux; Nadim S. Farajalla πŸ“‚ Article πŸ“… 1994 πŸ› John Wiley and Sons 🌐 English βš– 914 KB

## Abstract The spatial variability of each parameter affecting storm runoff must be accounted for in distributed modelling. The objective of the work reported here is to assess the effects of using distributed versus lumped hydraulic roughness coefficients in the modelling of direct surface runoff

Capturing the essential spatial variabil
✍ Nadim S. Farajalla; Baxter E. Vieux πŸ“‚ Article πŸ“… 1995 πŸ› John Wiley and Sons 🌐 English βš– 992 KB

Selecting the correct resolution in distributed hydrological modelling at the watershed scale is essential in reducing scale-related errors. The work presented herein uses information content (entropy) to identify the resolution which captures the essential variability, at the watershed scale, of th