Results 271 to 280 of about 1,170,819 (338)
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Least squares 2D bi-cubic spline approximation: Theory and applications
Measurement: Journal of the International Measurement Confederation, 2018Smooth surface approximation plays an important role in many applications. As an extension of the 2D bi-cubic spline interpolation, we propose the least squares 2D bi-cubic spline approximation (LS-BICSA).
Alireza Amiri-Simkooei +1 more
exaly +2 more sources
Spline approximation of offset curves
Computer Aided Geometric Design, 1988By using Bézier-splines and rational Bézier-splines, the author discusses the approximation of offset curves. In order to determine the approximating splines, the author presents algorithms for Bézier- splines with G 1 and G 2-continuity, and for rational Bézier-splines with G 1-continuity. An example illustrates the usefulness of the algorithms.
Josef Hoschek
exaly +2 more sources
Robotics and Computer-Integrated Manufacturing, 2020
This paper presents a unified framework for computing a B-spline curve to approximate the micro-line toolpath within the desired fitting accuracy. First, a bi-chord error test extended from our previous work is proposed to select the dominant points that
Limin Zhu
exaly +2 more sources
This paper presents a unified framework for computing a B-spline curve to approximate the micro-line toolpath within the desired fitting accuracy. First, a bi-chord error test extended from our previous work is proposed to select the dominant points that
Limin Zhu
exaly +2 more sources
Nonlinear Nonnested Spline Approximation
Linear and in particular non-linear spline approximation is a most useful tool in the approximation of for instance two-dimensional functions. Usually, piecewise polynomial splines with more and more refined knot-sequences are considered as elements of nested spaces spanned by splines. Generalising from this point of view, it is interesting to consider
Lind, Martin, Petrushev, Pencho
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Optimal arc spline approximation
Computer Aided Geometric Design, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
G. Maier
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B-Spline Approximation for Polynomial Splines
Signal Processing Applications Using Multidimensional Polynomial Splines, 2018This chapter has discussed specialised computing structure for running B-spline approximation. The spline functions and generalised spectral methods are widely used for the analysis and recovery of signals. The broken spline function is the simplest and historical example of splines. Spline functions are a developing field of the function approximation
Dhananjay Singh +2 more
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The deep neural network solver for B-spline approximation
Comput. Aided Des., 2022Automatically determining knot number and positions is a fundamental and challenging problem in B-spline approximation. In this paper, the knot placement is abstracted as a mapping from initial knots to the optimal knots. We innovatively introduce a deep
Zepeng Wen, Jiaqi Luo, Hongmei Kang
semanticscholar +1 more source
B-spline approximation of a wavefront measured by Shack-Hartmann sensor
Optical Engineering + Applications, 2021Conventional Shack-Hartmann sensor uses Zernike polynomials in order to approximate the wavefront of the light. Zernike approximation is well-known, well-established and widely used technique. And in most cases the quality of approximation is good enough,
I. Galaktionov +3 more
semanticscholar +1 more source
Nonholonomic motion planning for a free-falling cat using spline approximation
An optimal motion planning of a free-falling cat based on the spline approximation is investigated. Nonholonomicity arises in a free-falling cat subjected to nonintegrable velocity constraints or nonintegrable conservation laws.
X. Ge, Zhengxiong Guo
semanticscholar +2 more sources
On Approximation by Hyperbolic Splines
Journal of Mathematical Sciences, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kulikov, E. K., Makarov, A. A.
openaire +1 more source

