According ot the teaching, the assessment will be different: as a written exam, an oral exam, a record, a written report, peers review. The evaluation of outcome prior learning is made as a continuous training during the semester. Linear algebra, resolution of linear systems, use of matlab or python. Build a B-Spline curve of n given points (analytically and by a subdivision algorithm (de Casteljau, de Boor))Īpprehend, modify a NURBS curve. Select a curve Move knot vector on the basis function axes. When users load or select a curve, the number on the pop-up menu would change to all possible degree. Determine and compute the interpolating spline, the smoothing spline, and the least squares spline of n given points. Change degree by selecting a number on the pop-up menu. Determine the most efficient method to solve a least squares problem by identifying the characteristics of the problem. The extension to NURBS curves and to surface modelling in CAD.
MATLAB B SPLINE ORTHOGONAL BASIS CODE
cubic B-spline wavelets C Matlab code for B-spline wavelets. Piecewise functions, C k continuity, natural cubic splines and their local and global representations, basis of B-Splines, B-Spline curves and their control points. Part I: Images 2 Haar: The simplest wavelet basis: 2.1 The. of the class of polynomials that are orthogonal, with respect to the given. Application to the least squares problem. MATLAB function spline is designed for computations with the cubic splines (n. QR factorization: the Gram-Schmidt and Householder methods To go from discrete data to continuous functions.Īt the end of this module, the student will have understood and be able to explain (main concepts): This module is organized in course, tutorials and labworks. B-Splines, B-Spline curves, NURBS, NURBS curves, introduction to subdivision (de Casteljau’s algorithm, de Boor’s algorithm) By cubic natural spline functions (interpolation, smoothing, and least squares). Singular value decompositions and some properties: link with the euclidian norm and the approximation with a weak rank matrix. QR factorization thanks to the Gram-Schmidt and Householder method. Matrix computation for the least squares method:
MATLAB B SPLINE ORTHOGONAL BASIS HOW TO