11159
EXPLORE
LATEST
ABOUT
AUTHORING AREA
PARTICIPATE
Your browser does not support JavaScript or it may be disabled!
Approximation by Orthogonal Polynomials
The Gram–Schmidt process is used to obtain orthonormal polynomials with respect to the
norm. These polynomials are then used to interpolate a number of functions; a logarithmic error plot is provided.
Contributed by:
Lukas Einkemmer
SNAPSHOTS
RELATED LINKS
Legendre Polynomial
(
Wolfram
MathWorld
)
PERMANENT CITATION
Lukas Einkemmer
"
Approximation by Orthogonal Polynomials
"
http://demonstrations.wolfram.com/ApproximationByOrthogonalPolynomials/
Wolfram Demonstrations Project
Published: December 13, 2013
Share:
Embed Interactive Demonstration
New!
Just copy and paste this snippet of JavaScript code into your website or blog to put the live Demonstration on your site.
More details »
Download Demonstration as CDF »
Download Author Code »
(preview »)
Files require
Wolfram
CDF Player
or
Mathematica
.
Related Demonstrations
More by Author
Bernstein Polynomials and Convex Bézier Sums
Ludwig Weingarten
Orthogonality of Two Functions with Weighted Inner Products
Alain Goriely
Roots of the Bernoulli Polynomials
Martin Belton
Jacobi Polynomials in an Orthogonal Collocation Method
Jorge Gamaliel Frade Chávez
Polynomial Approximation of the Exponential Function
Hein Hundal
Weierstrass Approximation Theorem
Fabián Alejandro Romero
Stirling's Approximation versus n!
Sam Nicoll
Approximation of Discontinuous Functions by Fourier Series
David von Seggern (University Nevada-Reno)
Simultaneous Approximation of Two Real Numbers by Rationals
Mateja Budin
Approximating Continuous Functions with Haar Approximations
Sijia Liang and Bruce Atwood
Related Topics
Analysis
Approximation Methods
Polynomials
Browse all topics
Note: To run this Demonstration you need Mathematica 7+ or the free Mathematica Player 7EX
Download or upgrade to
Mathematica Player 7EX
I already have
Mathematica Player
or
Mathematica 7+