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Titlebook: Geometric Modeling; Methods and Applicat Hans Hagen,Dieter Roller Conference proceedings 1991 Springer-Verlag Berlin Heidelberg 1991 Algori

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Anhang: Mathematische Methoden, with the univariate cardinal case. Proofs of most of the results are included. We proceed with a detailed presentation of refinement and evaluation methods for box splines. We discuss shape preserving properties, the construction of non-rectangular box spline surfaces, applications of box splines t
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https://doi.org/10.1007/978-3-8350-9662-2case are discussed. Basic ideas for interpolation (or approximation) of scattered data are introduced. Various types of data sets and some strategies for dealing with some of them are given. Readily available algorithms for the solution of the problem are discussed and suitability for various types
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https://doi.org/10.1007/978-3-322-93522-9in shape configurations, usually fairly localised, on engineering parts or subassemblies. The applications envisaged for them are essentially of an engineering nature, but it is quite possible that other uses for them will emerge in the future. Although they are being studied with very practical end
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https://doi.org/10.1007/978-3-322-97871-4tric modelling techniques are given. In the main part, different methods are presented that have been developed for parametric modelling in CAD. These methods are variants programming, resolution of a system of constraint equations, rule based variation evaluation and a constructive approach to inte
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https://doi.org/10.1007/978-3-642-61402-6 representations. Such manipulations consist in creating new objects, applying geometric transformations, editing the shape or performing other operations to generate new shapes, interrogating the model and rendering it.
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Surfaces in Solid Modeling, representations. Such manipulations consist in creating new objects, applying geometric transformations, editing the shape or performing other operations to generate new shapes, interrogating the model and rendering it.
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A Tutorial Introduction to Blossoming,lled . or ., is based on an old idea from multilinear algebra where polynomials are studied by replacing them with simple multivariable functions. The purpose of these notes is to provide a brief tutorial introduction to the basic concepts and uses of the technique. Several implementation consequences are also identified.
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