𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Contour interpolation of random data

✍ Scribed by Chris Jacobs; John Keltner; Brian Vant-Hull; R.H. Elderkin

Publisher
Elsevier Science
Year
1986
Weight
968 KB
Volume
7
Category
Article
ISSN
0270-0255

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A multivariant interpolation routine for
A multivariant interpolation routine for a random distribution of data points
✍ Lou Yongming; BΓΆrje Johansson πŸ“‚ Article πŸ“… 1992 πŸ› Elsevier Science 🌐 English βš– 942 KB

We have developed a multivariant interpolation program which interpolates and calculates the derivatives of any function defined on a set of points randomly distributed in a three-dimensional space. Based on the Taylor expansion, the interpolation problem is transformed to find a solution of a linea

Contouring of hydrographic data
Contouring of hydrographic data
✍ Michael Holzrichter; Bryan Johns; Delaine Thompson; A.J. Boes πŸ“‚ Article πŸ“… 1986 πŸ› Elsevier Science βš– 807 KB
Contour approximation of data: A duality
Contour approximation of data: A duality theory
✍ Cem Iyigun; Adi Ben-Israel πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 393 KB

Given a dataset D partitioned in clusters, the joint distance function (JDF) J(x) at any point x is the harmonic mean of the distances between x and the cluster centers. The JDF is a continuous function, capturing the data points in its lower level sets (a property called contour approximation), and