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scipy tutorial - Baustatik-Info-Server

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SciPy Reference Guide, Release 0.8.dev<br />

multigammaln(a, d)<br />

returns the log of multivariate gamma, also sometimes called the generalized gamma.<br />

Notes<br />

Reference:<br />

Parameters<br />

a : ndarray<br />

d : int<br />

Returns<br />

res : ndarray<br />

the multivariate gamma is computed for each item of a<br />

the dimension of the space of integration.<br />

the values of the log multivariate gamma at the given points a.<br />

R. J. Muirhead, Aspects of multivariate statistical theory (Wiley Series in probability and mathematical statistics).<br />

Error Function and Fresnel Integrals<br />

erf() y=erf(z) returns the error function of complex argument defined as<br />

erfc() y=erfc(x) returns 1 - erf(x).<br />

erfinv(y)<br />

erfcinv(y)<br />

erf_zeros(nt) Compute nt complex zeros of the error function erf(z).<br />

fresnel(out1) (ssa,cca)=fresnel(z) returns the fresnel sin and cos integrals: integral(sin(pi/2<br />

fresnel_zeros(nt) Compute nt complex zeros of the sine and cosine fresnel integrals<br />

modfresnelp(out1) (fp,kp)=modfresnelp(x) returns the modified fresnel integrals F_+(x) and K_+(x)<br />

modfresnelm(out1) (fm,km)=modfresnelp(x) returns the modified fresnel integrals F_-(x) amd K_-(x)<br />

erf<br />

y=erf(z) returns the error function of complex argument defined as as 2/sqrt(pi)*integral(exp(-t**2),t=0..z)<br />

erfc<br />

y=erfc(x) returns 1 - erf(x).<br />

erfinv(y)<br />

erfcinv(y)<br />

erf_zeros(nt)<br />

Compute nt complex zeros of the error function erf(z).<br />

fresnel<br />

(ssa,cca)=fresnel(z) returns the fresnel sin and cos integrals: integral(sin(pi/2 * t**2),t=0..z) and integral(cos(pi/2<br />

* t**2),t=0..z) for real or complex z.<br />

fresnel_zeros(nt)<br />

Compute nt complex zeros of the sine and cosine fresnel integrals S(z) and C(z).<br />

modfresnelp<br />

(fp,kp)=modfresnelp(x) returns the modified fresnel integrals F_+(x) and K_+(x) as<br />

fp=integral(exp(1j*t*t),t=x..inf) and kp=1/sqrt(pi)*exp(-1j*(x*x+pi/4))*fp<br />

434 Chapter 3. Reference

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