![]() In a more informal language, interpolation means a guess at what happens between two values already known. ![]() Introduction In the mathematical field of numerical analysis, interpolation is a method of constructing new data point within the range of a discrete set of known data points. This algorithm is tested and verified numerically for various examples. The results are combined linearly to obtain the unique solution of the original matrix equation. Then, another matrix equation is solved analytically to take care of the derivative constraints. For f(t) = í µí±¡ í µí±, a set of constants along with the degree of polynomial m are used to compute the coefficients so that they satisfy the Interpolation constraints but not necessarily the derivative constraints. ![]() The matrix equation involved is solved analytically so that numerical inversion of the coefficient matrix is not required. An algorithm for computing the cubic spline interpolation coefficients for polynomials is presented in this paper. However, none of them is stable and computable in real time. In this paper we introduce different algorithm for reconstruction of a one dimensional function from its zero crossings.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |