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322. 1D/2D/3D: Cubic Spline Interpolation Package
by N. Sathyamurthy and L. M. Raff, Department of
Chemistry, Oklahoma State University, Stillwater,
Oklahoma 74074
This is a package of three programs which accomplish
cubic spline interpolation in one, two and three
independent variables.
Data (Fi, i=1, ...I) in one independent variable (xi,
i-1, ...I) are numerically fitted by cubic spline
interpolation procedure. Values of the function (F)
and the first two derivatives (|F/|x, |2f/|x2) are
evaluated at a given point (x: x1 < x < xI). The
function and the first derivative are continuous and
smooth.
Data (Fji, i=1, ...I, j=1, ...J) in two independent
variables (xi, 1=1, ...I) and (yj, j=1, ...J) are
numerically fitted by cubic spline interpolation
procedure. Values of the function (F) and the two
first partial derivatives (|F/|x, |F/|y) are evaluated
at a given point ((x,y): x1 < x < xI and y1 < y <
yJ). The function and the first derivatives are
continuous and smooth.
Data (Fkji, i=1, ...I, j=1, ...J, and k=1, ...K) in
three independent variables (xi, i=1, ...I), (yj, j=1,
...J), and (zk, k=1, ...K) are numerically fitted by
cubic spline interpolation procedure. Values of the
function (F) and the three first partial derivatives
(|F/|x, |F/|y, |F/|z) are evaluated at a given point
((x,y,z): x1 < x < xI, y1 < y < yJ, and z1 < z < zK).
The function and the first three derivatives are
continuous and smooth.
FORTRAN IV (IBM 360/370)
Lines of Code: 1869
Recommended Citation: N. Sathyamurthy and L. M. Raff,
QCPE 11, 322 (1977).
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