Free form surface analysis using a hybrid of symbolic and numeric computation

Update Item Information
Publication Type technical report
School or College College of Engineering
Department Computing, School of
Program Advanced Research Projects Agency
Other Author Elber, Gershon
Title Free form surface analysis using a hybrid of symbolic and numeric computation
Date 1992
Description Detailed analysis of many mathematical properties of sculptured models has been hindered by the fact that the properties do not have the same representation as the surface For example unit tangents surface normals and principal curvatures are typically computed at prede??ned discrete sets of points on the surface As such aliasing can occur and features between samples can be missed Synthesizing information about the shape of an object and operating on the model whether by physical machining tools graphics display programs or mathematical analysis has been treated as either a discrete or local problem in general The research being reported on here has focused on another approach that of creating algorithms that construct the mathematical properties in closed form or construct approximations to those mathematical properties through symbolic computation Global analysis can then be applied while an accurate error bound is obtained Basic tools required for such symbolic computation are presented and their usage in a broad range of applications from o set approximations through curvature analysis to generation of machining toolpaths are demonstrated The combination is not only shown to be powerful but it also provides a novel approach to problem solving in an elegant and robust way
Type Text
Publisher University of Utah
Subject Surface analysis
Subject LCSH Surfaces -- Computer simulation
Language eng
Bibliographic Citation Elber, G. (1992). Free form surface analysis using a hybrid of symbolic and numeric computation. UUCS-92-032.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 2,750,058 bytes
Source University of Utah School of Computing
ARK ark:/87278/s6jd5dz1
Setname ir_uspace
ID 702920
Reference URL https://collections.lib.utah.edu/ark:/87278/s6jd5dz1
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