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SciPy Reference Guide, Release 0.8.dev pro_ang1_cv(x1, x2, x3, x4, out1) pro_rad1_cv(x1, x2, x3, x4, out1) pro_rad2_cv(x1, x2, x3, x4, out1) obl_ang1_cv(x1, x2, x3, x4, out1) obl_rad1_cv(x1, x2, x3, x4, out1) obl_rad2_cv(x1, x2, x3, x4, out1) (s,sp)=pro_ang1_cv(m,n,c,cv,x) computes the prolate sheroidal angular function (s,sp)=pro_rad1_cv(m,n,c,cv,x) computes the prolate sheroidal radial function (s,sp)=pro_rad2_cv(m,n,c,cv,x) computes the prolate sheroidal radial function (s,sp)=obl_ang1_cv(m,n,c,cv,x) computes the oblate sheroidal angular function (s,sp)=obl_rad1_cv(m,n,c,cv,x) computes the oblate sheroidal radial function (s,sp)=obl_rad2_cv(m,n,c,cv,x) computes the oblate sheroidal radial function pro_ang1_cv (s,sp)=pro_ang1_cv(m,n,c,cv,x) computes the prolate sheroidal angular function of the first kind and its derivative (with respect to x) for mode paramters m>=0 and n>=m, spheroidal parameter c and |x|=0 and n>=m, spheroidal parameter c and |x|=0 and n>=m, spheroidal parameter c and |x|=0 and n>=m, spheroidal parameter c and |x|=0 and n>=m, spheroidal parameter c and |x|=0 and n>=m, spheroidal parameter c and |x|
Kelvin Functions SciPy Reference Guide, Release 0.8.dev kelvin(out1, out2, out3) (Be, Ke, Bep, Kep)=kelvin(x) returns the tuple (Be, Ke, Bep, Kep) which containes kelvin_zeros(nt) Compute nt zeros of all the kelvin functions returned in a length 8 tuple of arrays of length nt. ber() y=ber(x) returns the Kelvin function ber x bei() y=bei(x) returns the Kelvin function bei x berp() y=berp(x) returns the derivative of the Kelvin function ber x beip() y=beip(x) returns the derivative of the Kelvin function bei x ker() y=ker(x) returns the Kelvin function ker x kei() y=kei(x) returns the Kelvin function ker x kerp() y=kerp(x) returns the derivative of the Kelvin function ker x keip() y=keip(x) returns the derivative of the Kelvin function kei x kelvin (Be, Ke, Bep, Kep)=kelvin(x) returns the tuple (Be, Ke, Bep, Kep) which containes complex numbers representing the real and imaginary Kelvin functions and their derivatives evaluated at x. For example, kelvin(x)[0].real = ber x and kelvin(x)[0].imag = bei x with similar relationships for ker and kei. kelvin_zeros(nt) Compute nt zeros of all the kelvin functions returned in a length 8 tuple of arrays of length nt. The tuple containse the arrays of zeros of (ber, bei, ker, kei, ber’, bei’, ker’, kei’) ber bei y=ber(x) returns the Kelvin function ber x y=bei(x) returns the Kelvin function bei x berp y=berp(x) returns the derivative of the Kelvin function ber x beip y=beip(x) returns the derivative of the Kelvin function bei x ker kei y=ker(x) returns the Kelvin function ker x y=kei(x) returns the Kelvin function ker x kerp y=kerp(x) returns the derivative of the Kelvin function ker x keip y=keip(x) returns the derivative of the Kelvin function kei x These are not universal functions: ber_zeros(nt) Compute nt zeros of the kelvin function ber x bei_zeros(nt) Compute nt zeros of the kelvin function bei x berp_zeros(nt) Compute nt zeros of the kelvin function ber’ x beip_zeros(nt) Compute nt zeros of the kelvin function bei’ x ker_zeros(nt) Compute nt zeros of the kelvin function ker x kei_zeros(nt) Compute nt zeros of the kelvin function kei x kerp_zeros(nt) Compute nt zeros of the kelvin function ker’ x keip_zeros(nt) Compute nt zeros of the kelvin function kei’ x 3.17. Special functions (<strong>scipy</strong>.special) 443
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