Numerical Analysis Interpolation Hanyang University JongIl Park Fitting
- Slides: 21
Numerical Analysis – Interpolation Hanyang University Jong-Il Park
Fitting n Exact fit v Interpolation v Extrapolation n Approximate fit Extrapolation x Interpolation x x Department of Computer Science and Engineering, Hanyang University
Weierstrass Approximation Theorem Department of Computer Science and Engineering, Hanyang University
Approximation error Better approximation Department of Computer Science and Engineering, Hanyang University
Lagrange Interpolating Polynomial Department of Computer Science and Engineering, Hanyang University
Illustration of Lagrange polynomial • Unique • Too much complex Department of Computer Science and Engineering, Hanyang University
Error analysis for intpl. polynml(I) Department of Computer Science and Engineering, Hanyang University
Error analysis for intpl. polynml(II) Department of Computer Science and Engineering, Hanyang University
Differences n Difference v Forward difference : v Backward difference : v Central difference : f Department of Computer Science and Engineering, Hanyang University
Divided Differences ; 1 st order divided difference ; 2 nd order divided difference Department of Computer Science and Engineering, Hanyang University
N-th divided difference Department of Computer Science and Engineering, Hanyang University
Newton’s Intpl. Polynomials(I) Department of Computer Science and Engineering, Hanyang University
Newton’s Intpl. Polynomials(II) Department of Computer Science and Engineering, Hanyang University
Newton’s Forward Difference Interpolating Polynomials(I) v Equal Interval h v Derivation n=1 n=2 Department of Computer Science and Engineering, Hanyang University
Newton’s Forward Difference Interpolating Polynomials(II) Generalization Binomial coef. v Error Analysis Department of Computer Science and Engineering, Hanyang University
Intpl. of Multivariate Function • Successive univariate polynomial • Direct mutivariate polynomial 1 2 1 Successive univariate direct multivariate Department of Computer Science and Engineering, Hanyang University
Inverse Interpolation = finding v x(f) Utilization of Newton’s polynomial Solve for x 1 st approximation 2 nd approximation Repeat until a convergence Department of Computer Science and Engineering, Hanyang University
Spline Interpolation n Why spline? Linear spline Quadratic spline Cubic spline polynomial Continuity • Good approximation !! • Moderate complexity !! Department of Computer Science and Engineering, Hanyang University
Cubic spline interpolation(I) n Cubic Spline Interpolation at an interval 4 unknowns for each interval 4 n unknowns for n intervals Conditions 1) n 2) n 3) continuity of f’ n-1 4) continuity of f’’ n-1 Department of Computer Science and Engineering, Hanyang University
Cubic spline interpolation(II) n Determining boundary condition Method 1 : Method 2 : Method 3 : Department of Computer Science and Engineering, Hanyang University
Eg. CG modeling Non-Uniform Rational B-Spline Department of Computer Science and Engineering, Hanyang University
- Newtons backward interpolation
- Numerical interpolation
- Spline interpolation vs polynomial interpolation
- Interpolation in numerical methods
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