B-Spline curve fitting stands as a cornerstone in the realm of computational geometry, providing a flexible and robust approach to approximating intricate shapes and surfaces. This method relies on ...
The concept of symmetric recursive algorithm leads to new, s-dimensional spline spaces. We present a general scheme for constructing a collection of multivariate B-splines with k - 1 continuous ...
In computer graphics, a curve that is generated using a mathematical formula that assures continuity with other b-splines. See spline and NURB. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other ...
SPLINE is a transformation. It takes a variable as input and produces a transformed variable as output. Internally, with SPLINE, a B-spline basis is used to find the transformation, which is a linear ...
This paper extends and refines the method of option pricing by frame projection of riskneutral densities to incorporate general basis splines (B-splines), including the cubic basis, and general payoff ...
We propose a flexible generalized auto-regressive conditional heteroscedasticity type of model for the prediction of volatility in financial time series. The approach relies on the idea of using ...
In this paper, we present a new efficient and robust framework for European option pricing under continuous-time asset models from the family of exponential semimartingale processes. We introduce ...
This example then specifies a smoothed spline interpolation method on the GRID statement. As shown by the following output, the resulting surface plot is smoother still. libname reflib ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results