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◆ bintk()
| void bintk |
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double |
x[], |
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double |
y[], |
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double |
t[], |
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int |
n, |
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int |
k, |
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double |
bcoef[], |
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double |
q[], |
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double |
work[], |
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int * |
info |
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B-representation of the spline interpolation of order k
- Purpose
- This routine computes the B-representation (t[], bcoef[], n, k) of the spline of order k which interpolates given data. The spline or any of its derivatives can be evaluated by calls to bvalu.
- Parameters
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| [in] | x[] | Array x[lx] (lx >= n)
X vector of abscissae, distinct and in increasing order. |
| [in] | y[] | Array y[ly] (ly >= n)
Y vector of ordinates. |
| [in] | t[] | Array t[lt] (lt >= n + k)
Knot vector.
Since t[0], ..., t[k-1] <= x[0] and t[n], ..., t[n+k-1] >= x[n-1], this leaves only n-k knots (not necessarily x[i] values) interior to [x[0], x[n-1]]. |
| [in] | n | Number of data points. (n >= k) |
| [in] | k | Order of the spline. (k >= 1) |
| [out] | bcoef[] | Array bcoef[lbcoef] (lbcoef >= n)
B-spline coefficients. |
| [out] | q[] | Array q[lq] (lq >= (2*k - 1)*n)
Work array, containing the triangular factorization of the coefficient matrix of the linear system being solved. The coefficients for the interpolant of an additional data set (x[i], yy[i]) (i = 1 to n) with the same abscissa can be obtained by loading yy into bcoef and then executing
banslv(n, k-1, k-1, 2*k-1, (double (*)[2*k-1])q, bcoef, &info); |
| [out] | work[] | Array work[lwork] (lwork >= 2*k)
Work array. |
| [out] | info | = 0: Successful exit
= -1: The argument x[] had an illegal value (not distinct or not in increasing order)
= -4: The argument n had an illegal value (n < k)
= -5: The argument k had an illegal value (k < 1)
= 1: Some abscissa was not in the support of the corresponding basis function and the system is singular
= 2: The system of solver detects a singular system although the theoretical conditions for a solution were satisfied |
- Reference
- SLATEC
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