About the Project

absolute

AdvancedHelp

(0.001 seconds)

21—30 of 58 matching pages

21: 20.3 Graphics
In the graphics shown in this subsection, height corresponds to the absolute value of the function and color to the phase. … In the graphics shown in this subsection, height corresponds to the absolute value of the function and color to the phase. …
22: 1.14 Integral Transforms
1.14.2 | F ( x ) | 1 2 π | f ( t ) | d t .
1.14.8 | F ( x ) | 2 d x = | f ( t ) | 2 d t .
1.14.18 | f ( t ) | M e α t , 0 t < .
1.14.38 0 ( f ( x ) ) 2 d x = 1 2 π | f ( 1 2 + i t ) | 2 d t .
1.14.45 | f ( x ) | p d x A p | f ( t ) | p d t ,
23: 1.5 Calculus of Two or More Variables
1.5.2 | f ( a + α , b + β ) f ( a , b ) | < ϵ ,
1.5.42 D f ( x , y ) d x d y = D f ( x ( u , v ) , y ( u , v ) ) | ( x , y ) ( u , v ) | d u d v ,
1.5.43 D f ( x , y , z ) d x d y d z = D f ( x ( u , v , w ) , y ( u , v , w ) , z ( u , v , w ) ) | ( x , y , z ) ( u , v , w ) | d u d v d w .
24: 4.15 Graphics
In the graphics shown in this subsection height corresponds to the absolute value of the function and color to the phase. …
25: 10.74 Methods of Computation
The power-series expansions given in §§10.2 and 10.8, together with the connection formulas of §10.4, can be used to compute the Bessel and Hankel functions when the argument x or z is sufficiently small in absolute value. …
26: 35.1 Special Notation
a , b complex variables.
| 𝐗 | determinant of 𝐗 (except when m = 1 where it means either determinant or absolute value, depending on the context).
27: 1.3 Determinants, Linear Operators, and Spectral Expansions
1.3.19 j , k = | a j , k δ j , k |
1.3.21 𝐮 2 = i = 1 n | c i | 2 ,
28: 1.12 Continued Fractions
1.12.25 | b n | | a n | + 1 , n = 1 , 2 , 3 , .
1.12.28 n = 1 | b n | = .
29: 3.2 Linear Algebra
To avoid instability the rows are interchanged at each elimination step in such a way that the absolute value of the element that is used as a divisor, the pivot element, is not less than that of the other available elements in its column. … where ρ ( 𝐀 𝐀 T ) is the largest of the absolute values of the eigenvalues of the matrix 𝐀 𝐀 T ; see §3.2(iv). …
30: 1.6 Vectors and Vector-Valued Functions
1.6.50 𝐓 θ × 𝐓 ϕ = ρ 2 | sin θ | .
1.6.52 A ( S ) = 2 π a b | f ( x ) | 1 + ( f ( x ) ) 2 d x ,