Download Designing Fair Curves and Surfaces: Shape Quality in by Nickolas S. Sapidis PDF

By Nickolas S. Sapidis

This state of the art learn of the strategies used for designing curves and surfaces for computer-aided layout functions specializes in the main that reasonable shapes are regularly freed from unessential positive aspects and are uncomplicated in layout. The authors outline equity mathematically, display how newly constructed curve and floor schemes warrantly equity, and support the person in determining and removal form aberrations in a floor version with out destroying the primary form features of the version. Aesthetic points of geometric modeling are of important value in commercial layout and modeling, quite within the car and aerospace industries. Any engineer operating in computer-aided layout, computer-aided production, or computer-aided engineering probably want to upload this quantity to his or her library. Researchers who've a familiarity with easy recommendations in computer-aided photograph layout and a few wisdom of differential geometry will locate this e-book a priceless reference.

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Extra info for Designing Fair Curves and Surfaces: Shape Quality in Geometric Modeling and Computer-Aided Design (Geometric Design Publication)

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N. Bronshtein and K. A. Semendyayev. Handbook of Mathematics. K. A. sch. nd Reinhold Company, New York. 1985. |8 H. G. Burchard. Interpolation and approximation by generalized convex junctions. D. Thesis. Purdue University, West Lafayette. IN. 1968. [9j . Extremal positive splines, with applications, in Approximation Theory. G. G. Lorentz. ed.. Academic Press, New York (1973). pp. 291 294. [10] . re'inal positive splines with, applications to interpolation anil approximation by generalized, convex functions.

As illustrated in [13]. this automatic fairing procedure works well. In contrast to such curve-oriented algorithms, the heuristic method given in [12] modifies the data points nonautomatically by improving their first (or second) divided differences plot. Therefore, the aim of this chapter is to deduce an automatic and local fairing process according to [13] for given planar or spatial point sets whic is based on direct manipulations of the data. (/^ )) denotes the left-handed (respectively, right-handed) first derivative of he curvature; w i t h respect to arc length, at the point X(f,-).

The resulting code may execute slightly slower, but there is little or no loss in accuracy. Two classes of geometric linear equality constraints have been implemented. First, discrete point locations or parametric first derivatives can be "frozen" al values read off the input curve. Second, a vertical or horizontal tangent can be specified at any point, without fixing the magnitude of the parametric derivative. In addition, one type of nonlinear inequality constraint is supported. 4 may be specified in the following manner.

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