Sentence examples for classical characterization from inspiring English sources
In highly heterogeneous reservoirs classical characterization methods often fail to detect the location and orientation of the fractures.
During the 1970s Brezis and Browder presented a now classical characterization of maximal monotonicity of monotone linear relations in reflexive spaces.
Classical characterization of biological filtration involves measurement of chemical parameters (e.g., ammonia, nitrite, and nitrate concentrations, biochemical oxygen demand), and culture-based identification of key species within the microbial consortium.
A remarkable fact is that the classical characterization of well-posedness by the Lopatinskiĭ condition needs only to be satisfied at real frequency pairs with τ⩾0, instead of pairs with Rτ⩾0.
The new method, called Reversed-flow technique, is based on reversing the direction of flow of the carrier gas from time to time, and has certain advantages over the classical characterization methods.
154 (2006) 1465 1677], we presented the first polynomial-time algorithm for recognizing and factoring read-once functions, based on a classical characterization theorem of Gurvich which states that a positive Boolean function is read-once if and only if it is normal and its co-occurrence graph is P4-free.
τ as a suitable closure, á la Dedekind, of A, in analogy with one of the classical characterizations of Riemann measurable functions, and show that AR is a C*-algebra, and τ extends to a semicontinuous semifinite trace on AR.
Disturbances are commonly complex and variable, such that classical dichotomous characterization of disturbance regimes as following large infrequent disturbances or patch dynamics is too simplistic, especially when the resulting damage is more severe than the baseline of a single tree patch dynamic, but not severe enough to represent large infrequent disturbance.
Besides the classical biochemical characterization of such pathways, recent analyses have identified many possible modules using multiple high-throughput data sources [ 2, 3].
One of the best ways to understand termite digestomes is by coupling classical biochemical characterization with genomic and proteomic tools [ 8, 9] based on a metagenomic platform for bioprospecting novel glycoside hydrolases [ 10].
Our strategy consisted of classical biochemical characterization followed by global proteomic analysis of the termite digestome, targeting the identification of GHs and accessory proteins responsible for plant biomass degradation.
