NDLI: Algorithm XXX: SHEPPACK: Modified shepard algorithm for interpolation of scattered multivariate data (2009)

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Algorithm XXX: SHEPPACK: Modified shepard algorithm for interpolation of scattered multivariate data (2009)

Content Provider	CiteSeerX
Author	Thacker, William I. Zhang, Jingwei Watson, Layne T. Birch, Jeffrey B. Iyer, Manjula A. Berry, Michael W.
Abstract	Scattered data interpolation problems arise in many applications. Shepard’s method for construct-ing a global interpolant by blending local interpolants using local-support weight functions usually creates reasonable approximations. SHEPPACK is a Fortran 95 package containing five versions of the modified Shepard algorithm: quadratic (Fortran 95 translations of Algorithms 660, 661, and 798), cubic (Fortran 95 translation of Algorithm 791), and linear variations of the original Shepard algorithm. An option to the linear Shepard code is a statistically robust fit, intended to be used when the data is known to contain outliers. SHEPPACK also includes a hybrid robust piecewise linear estimation algorithm RIPPLE (residual initiated polynomial-time piecewise lin-ear estimation) intended for data from piecewise linear functions in arbitrary dimension m. The main goal of SHEPPACK is to provide users with a single consistent package containing most existing polynomial variations of Shepard’s algorithm. The algorithms target data of different dimensions. The linear Shepard algorithm, robust linear Shepard algorithm, and RIPPLE are the
File Format	PDF
Language	English
Publisher Date	2009-01-01
Access Restriction	Open
Subject Keyword	Modified Shepard Algorithm Scattered Multivariate Data Algorithm Xxx Robust Linear Shepard Algorithm Local Interpolants Many Application Shepard Algorithm Reasonable Approximation Single Consistent Package Linear Shepard Algorithm Linear Shepard Code Linear Variation Polynomial-time Piecewise Lin-ear Estimation Polynomial Variation Scattered Data Interpolation Problem Piecewise Linear Function Algorithm Target Data Global Interpolant Original Shepard Algorithm Arbitrary Dimension Different Dimension Robust Fit Main Goal Local-support Weight Function
Content Type	Text
Resource Type	Technical Report

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