25 R Y(modified_fejer)(
const INT N,
const INT kk)
27 return (K(2.0) / ((R) (N * N))
28 * (K(1.0) - FABS(K(2.0) * ((R) kk) + K(1.0) ) / ((R) N)));
32 R Y(modified_jackson2)(
const INT N,
const INT kk)
35 const R n = (((R) N) / K(2.0) + K(1.0) ) / K(2.0);
38 for (result = K(0.0), kj = kk; kj <= kk + 1; kj++)
44 - (K(3.0) * k + K(6.0) * n * POW(k, K(2.0) )
45 - K(3.0) * POW(k, K(3.0) ))
46 / (K(2.0) * n * (K(2.0) * POW(n, K(2.0) ) + K(1.0) ));
48 result += (K(2.0) * n - k) * (POW(2 * n - k, K(2.0) ) - K(1.0) )
49 / (K(2.0) * n * (K(2.0) * POW(n, K(2.0) ) + K(1.0) ));
56 R Y(modified_jackson4)(
const INT N,
const INT kk)
59 const R n = (((R) N) / K(2.0) + K(3.0) ) / K(4.0);
60 const R normalisation = (K(2416.0) * POW(n, K(7.0) )
61 + K(1120.0) * POW(n, K(5.0) ) + K(784.0) * POW(n, K(3.0) ) + K(720.0) * n);
64 for (result = K(0.0), kj = kk; kj <= kk + 1; kj++)
71 + (K(1680.0) * POW(n, K(5.0) ) + K(2240.0) * POW(n, K(3.0) )
72 + K(2940.0) * n) * POW(k, K(2.0) )
73 - K(1715.0) * POW(k, K(3.0) )
74 - (K(560.0) * POW(n, K(3.0) ) + K(1400.0) * n) * POW(k, K(4.0) )
75 + K(490.0) * POW(k, K(5.0) ) + K(140.0) * n * POW(k, K(6.0) )
76 - K(35.0) * POW(k, K(7.0) )) / normalisation;
78 if ((K(1.0) <= k / n) && (k / n < K(2.0) ))
79 result += ((K(2472.0) * POW(n, K(7.0) ) + K(336.0) * POW(n, K(5.0) )
80 + K(3528.0) * POW(n, K(3.0) ) - K(1296.0) * n)
81 - (K(392.0) * POW(n, K(6.0) ) - K(3920.0) * POW(n, K(4.0) )
82 + K(8232.0) * POW(n, K(2.0) ) - K(756.0) )*k
83 - (K(504.0)*POW(n, K(5.0)) + K(10080.0)*POW(n, K(3.0))
84 - K(5292.0)*n)*POW(k, K(2.0)) - (K(1960.0)*POW(n, K(4.0))
85 - K(7840.0)*POW(n, K(2.0)) + K(1029.0))*POW(k, K(3.0))
86 + (K(2520.0)*POW(n, K(3.0)) - K(2520.0)*n) * POW(k, K(4.0))
87 - (K(1176.0)*POW(n, K(2.0)) - K(294.0)) * POW(k, K(5.0))
88 + K(252.0)*n*POW(k, K(6.0)) - K(21.0)*POW(k, K(7.0)))/normalisation;
90 if ((K(2.0) <= k / n) && (k / n < K(3.0) ))
91 result += (-(K(1112.0) * POW(n, K(7.0) ) - K(12880.0) * POW(n, K(5.0) )
92 + K(7448.0) * POW(n, K(3.0) ) - K(720.0) * n)
93 + (K(12152.0) * POW(n, K(6.0) ) - K(27440.0) * POW(n, K(4.0) )
94 + K(8232.0) * POW(n, K(2.0) ) - K(252.0) )*k
95 - (K(19320.0)*POW(n, K(5.0)) - K(21280.0)*POW(n, K(3.0))
96 + K(2940.0)*n)*POW(k, K(2.0)) + (K(13720.0)*POW(n, K(4.0))
97 - K(7840.0)*POW(n, K(2.0)) + K(343.0))*POW(k, K(3.0))
98 - (K(5320.0)*POW(n, K(3.0)) - K(1400.0)*n)*POW(k, K(4.0))
99 + (K(1176.0)*POW(n, K(2.0)) - K(98.0))*POW(k, K(5.0))
100 - K(140.0)*n*POW(k, K(6.0)) + K(7.0) * POW(k, K(7.0)))/normalisation;
102 if ((K(3.0) <= k / n) && (k / n < K(4.0) ))
103 result += ((4 * n - k)
104 * (POW(4 * n - k, K(2.0) ) - K(1.0) )*(POW(4*n-k, K(2.0))
105 - K(4.0))*(POW(4*n-k, K(2.0)) - K(9.0)))/normalisation;
112 R Y(modified_sobolev)(
const R mu,
const INT kk)
117 for (result = K(0.0), kj = kk; kj <= kk + 1; kj++)
123 result += POW((R) k, -K(2.0) * mu);
130 R Y(modified_multiquadric)(
const R mu,
const R c,
const INT kk)
135 for (result = K(0.0), kj = kk; kj <= kk + 1; kj++)
138 result += POW((R)(k * k) + c * c, -mu);