Then a B-spline of order four, or cubic B-spline, is a cubic spline
with knots [[xi].
For example, Snyder (1990) applies the central-difference formula by Stirling; Ratner (1991), Bretterbauer (1994), and Evenden (2008) use cubic spline
interpolation (which is also used in Flex Projector); and Richardson (1989) reports that Robinson applied the Aitken interpolation +scheme.
P-Library is the muscle behind the PUMP-FLO curves; it creates data-driven curves using a cubic spline
regression as opposed to polynomial regression.
An alternative to both the linear look-up and third order polynomial fit in this situation is to use a cubic spline
Many others have tried numerical schemes such as Rubin and Grave  used cubic spline
functions and quasilinearization for the numerical solution of Burgers' equation.
Discrete cubic spline
Interpolation with a non uniform mesh, Rocy Mount, Journal Math's.
These curves are formed from cubic spline
arches, given as parametric form, function of one parameter u [member of] (0,1), connected between them.
We also examined the sensitivity of our results to alternate model specifications, including alternate time trend control (cubic spline
for day of visit with two knots per month and one knot every 2 months, respectively, instead of one knot per month), and alternate temperature control (indicator variables for each degree Celsius instead of a cubic spline
for lag 0 maximum temperature).
In short summary, the linear (more formally, bilinear interpolation in the context of two-dimensional array data) involves a simple point-slope imputation of data at points intermediate to true observation; the cubic spline
(more formally, bicubic spline) involves a summed, iterative approximation through fitting a third-order polynomial .
Dose-response relationship was assessed by restricted cubic spline
The applications chapter contains twenty topics, including cubic spline
interpolation, graph theory, game strategy, computer graphics, medical CT imaging, cryptography, genetics, and internet search engines, among others.
The classification accuracy of the proposed Normalized Cubic Spline
Feed Forward Neural Network (NCS- FFNN) is compared with RBF, CART and MLP.