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11: Qiming Wang
She has applied VRML and X3D techniques to several different fields including interactive mathematical function visualization, 3D human body modeling, and manufacturing-related modeling. …
12: Daniel W. Lozier
Army Engineer Research and Development Laboratory in Virginia on finite-difference solutions of differential equations associated with nuclear weapons effects. Then he transferred to NIST (then known as the National Bureau of Standards), where he collaborated for several years with the Building and Fire Research Laboratory developing and applying finite-difference and spectral methods to differential equation models of fire growth. …
13: 3.10 Continued Fractions
Quotient-Difference Algorithm
We continue by means of the rhombus rule( is the backward difference operator.) …
14: Browsers
MathML has long been considered to be important for representing mathematics on the web; it provides for much better accessibility, reusability and scalability to different displays. …
15: Annie A. M. Cuyt
As a consequence her expertise spans a wide range of activities from pure abstract mathematics to computer arithmetic and different engineering applications. …
16: Wadim Zudilin
His research interests are primarily focused on applications of special functions in different parts of number theory. …
17: 18.26 Wilson Class: Continued
§18.26(iii) Difference Relations
For comments on the use of the forward-difference operator Δ x , the backward-difference operator x , and the central-difference operator δ x , see §18.2(ii). For each family only the y -difference that lowers n is given. …
18.26.14 δ y ( W n ( y 2 ; a , b , c , d ) ) / δ y ( y 2 ) = n ( n + a + b + c + d 1 ) W n 1 ( y 2 ; a + 1 2 , b + 1 2 , c + 1 2 , d + 1 2 ) .
18.26.15 δ y ( S n ( y 2 ; a , b , c ) ) / δ y ( y 2 ) = n S n 1 ( y 2 ; a + 1 2 , b + 1 2 , c + 1 2 ) .
18: 18.20 Hahn Class: Explicit Representations
For comments on the use of the forward-difference operator Δ x , the backward-difference operator x , and the central-difference operator δ x , see §18.2(ii). …
18.20.1 p n ( x ) = 1 κ n w x x n ( w x = 0 n 1 F ( x + ) ) , x X .
18.20.3 w ( x ; a , b , a ¯ , b ¯ ) p n ( x ; a , b , a ¯ , b ¯ ) = 1 n ! δ x n ( w ( x ; a + 1 2 n , b + 1 2 n , a ¯ + 1 2 n , b ¯ + 1 2 n ) ) .
18.20.4 w ( λ ) ( x ; ϕ ) P n ( λ ) ( x ; ϕ ) = 1 n ! δ x n ( w ( λ + 1 2 n ) ( x ; ϕ ) ) .
19: 3.9 Acceleration of Convergence
3.9.2 S = k = 0 ( 1 ) k 2 k 1 Δ k a 0 ,
Here Δ is the forward difference operator:
3.9.3 Δ k a 0 = Δ k 1 a 1 Δ k 1 a 0 , k = 1 , 2 , .
3.9.4 Δ k a 0 = m = 0 k ( 1 ) m ( k m ) a k m .
20: 7.9 Continued Fractions
7.9.1 π e z 2 erfc z = z z 2 + 1 2 1 + 1 z 2 + 3 2 1 + 2 z 2 + , z > 0 ,
7.9.3 w ( z ) = i π 1 z 1 2 z 1 z 3 2 z 2 z , z > 0 .