gauss


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gauss

 (gous)
n. pl. gauss or gauss·es Abbr. G
The centimeter-gram-second unit of magnetic flux density, equal to one maxwell per square centimeter.

[After Karl Friedrich Gauss.]

Gauss

(German ɡaus)
n
(Biography) Karl Friedrich (karl ˈfriːdrɪç). 1777–1855, German mathematician: developed the theory of numbers and applied mathematics to astronomy, electricity and magnetism, and geodesy
Gaussian adj

gauss

(ɡaʊs)
n, pl gauss
(Units) the cgs unit of magnetic flux density; the flux density that will induce an emf of 1 abvolt (10–8 volt) per centimetre in a wire moving across the field at a velocity of 1 centimetre per second. 1 gauss is equivalent to 10–4 tesla

gauss

(gaʊs)

n.
the centimeter-gram-second unit of magnetic field strength, equal to 10−4 tesla. Symbol: G
[1880–85; after K. French. Gauss]

Gauss

(gaʊs)

n.
Karl Friedrich, 1777–1855, German mathematician and astronomer.
Gauss′i•an, adj.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.gauss - a unit of magnetic flux density equal to 1 maxwell per square centimeter
flux density unit - a measure of the amount of flux per unit of cross sectional area
microgauss - a unit of magnetic flux density equal to one millionth of a gauss
tesla - a unit of magnetic flux density equal to one weber per square meter
2.gauss - German mathematician who developed the theory of numbers and who applied mathematics to electricity and magnetism and astronomy and geodesy (1777-1855)Gauss - German mathematician who developed the theory of numbers and who applied mathematics to electricity and magnetism and astronomy and geodesy (1777-1855)
Translations
gauss
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Gauss, the greatest forensic detective of them all.
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Because the optimal dimensions were 0 to 150 micron and optimal magnetic field intensity was 2000 Gauss, further other magnetic separation was carried out for these dimensions and field intensity.
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The matching moment property in Theorem 1.4 can also be interpreted as a matrix formulation of a generalized Gauss quadrature for the approximation of quasi-definite linear functionals; see [45, 49].
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Reference [16] compares the approximation accuracies of various sparse grid methods, including trapezoidal rule, Crenshaw Curtis rule, and Gauss Patterson rule.
Initially, the kernel function they selected is a Gauss function.