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1: Software Index
  • Open Source Collections and Systems.

    These are collections of software (e.g. libraries) or interactive systems of a somewhat broad scope. Contents may be adapted from research software or may be contributed by project participants who donate their services to the project. The software is made freely available to the public, typically in source code form. While formal support of the collection may not be provided by its developers, within active projects there is often a core group who donate time to consider bug reports and make updates to the collection.

  • 2: 19.18 Derivatives and Differential Equations
    Let j = / z j , and 𝐞 j be an n -tuple with 1 in the j th place and 0’s elsewhere. …
    19.18.11 j = 1 n z j j v = a v ,
    19.18.12 ( z j j + b j ) l v = ( z l l + b l ) j v ,
    19.18.13 ( ( z j z l ) j l + b j l b l j ) v = 0 .
    If n = 2 , then elimination of 2 v between (19.18.11) and (19.18.12), followed by the substitution ( b 1 , b 2 , z 1 , z 2 ) = ( b , c b , 1 z , 1 ) , produces the Gauss hypergeometric equation (15.10.1). …
    3: 16.14 Partial Differential Equations
    x ( 1 x ) 2 F 1 x 2 + y ( 1 x ) 2 F 1 x y + ( γ ( α + β + 1 ) x ) F 1 x β y F 1 y α β F 1 = 0 ,
    y ( 1 y ) 2 F 1 y 2 + x ( 1 y ) 2 F 1 x y + ( γ ( α + β + 1 ) y ) F 1 y β x F 1 x α β F 1 = 0 ,
    x ( 1 x ) 2 F 2 x 2 x y 2 F 2 x y + ( γ ( α + β + 1 ) x ) F 2 x β y F 2 y α β F 2 = 0 ,
    y ( 1 y ) 2 F 2 y 2 x y 2 F 2 x y + ( γ ( α + β + 1 ) y ) F 2 y β x F 2 x α β F 2 = 0 ,
    x ( 1 x ) 2 F 3 x 2 + y 2 F 3 x y + ( γ ( α + β + 1 ) x ) F 3 x α β F 3 = 0 ,
    4: 36.10 Differential Equations
    5: 1.5 Calculus of Two or More Variables
    2 f x y = x ( f y ) ,
    2 f y x = y ( f x ) .
    The function f ( x , y ) is continuously differentiable if f , f / x , and f / y are continuous, and twice-continuously differentiable if also 2 f / x 2 , 2 f / y 2 , 2 f / x y , and 2 f / y x are continuous. …
    1.5.6 2 f x y = 2 f y x .
    1.5.21 2 f x 2 2 f y 2 ( 2 f x y ) 2 > 0  at  ( a , b ) .
    6: 32.4 Isomonodromy Problems
    32.4.2 2 𝚿 z λ = 2 𝚿 λ z ,
    32.4.3 𝐀 z 𝐁 λ + 𝐀 𝐁 𝐁 𝐀 = 0 .
    7: 3.4 Differentiation
    3.4.20 u 0 , 0 x = 1 2 h ( u 1 , 0 u 1 , 0 ) + O ( h 2 ) ,
    3.4.25 2 u 0 , 0 x y = 1 4 h 2 ( u 1 , 1 u 1 , 1 u 1 , 1 + u 1 , 1 ) + O ( h 2 ) ,
    3.4.26 2 u 0 , 0 x y = 1 2 h 2 ( u 1 , 0 + u 1 , 0 + u 0 , 1 + u 0 , 1 2 u 0 , 0 u 1 , 1 u 1 , 1 ) + O ( h 2 ) .
    3.4.31 4 u 0 , 0 2 x 2 y = 1 h 4 ( u 1 , 1 + u 1 , 1 + u 1 , 1 + u 1 , 1 2 u 1 , 0 2 u 1 , 0 2 u 0 , 1 2 u 0 , 1 + 4 u 0 , 0 ) + O ( h 2 ) .
    3.4.32 4 u = 4 u x 4 + 2 4 u 2 x 2 y + 4 u y 4 .
    8: 10.38 Derivatives with Respect to Order
    10.38.1 I ± ν ( z ) ν = ± I ± ν ( z ) ln ( 1 2 z ) ( 1 2 z ) ± ν k = 0 ψ ( k + 1 ± ν ) Γ ( k + 1 ± ν ) ( 1 4 z 2 ) k k ! ,
    10.38.3 ( 1 ) n I ν ( z ) ν | ν = n = K n ( z ) + n ! 2 ( 1 2 z ) n k = 0 n 1 ( 1 ) k ( 1 2 z ) k I k ( z ) k ! ( n k ) ,
    10.38.4 K ν ( z ) ν | ν = n = n ! 2 ( 1 2 z ) n k = 0 n 1 ( 1 2 z ) k K k ( z ) k ! ( n k ) .
    10.38.6 I ν ( x ) ν | ν = ± 1 2 = 1 2 π x ( E 1 ( 2 x ) e x ± Ei ( 2 x ) e x ) ,
    9: 36.4 Bifurcation Sets
    36.4.4 2 s 2 Φ ( U ) ( s , t ; 𝐱 ) 2 t 2 Φ ( U ) ( s , t ; 𝐱 ) ( 2 s t Φ ( U ) ( s , t ; 𝐱 ) ) 2 = 0 .
    10: 10.15 Derivatives with Respect to Order
    10.15.3 J ν ( z ) ν | ν = n = π 2 Y n ( z ) + n ! 2 ( 1 2 z ) n k = 0 n 1 ( 1 2 z ) k J k ( z ) k ! ( n k ) .
    10.15.5 J ν ( z ) ν | ν = 0 = π 2 Y 0 ( z ) , Y ν ( z ) ν | ν = 0 = π 2 J 0 ( z ) .