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chebyshev basis

Chebyshev Polynomial of the First Kind - Wolfram MathWorld
https://mathworld.wolfram.com › ...
The Chebyshev polynomials of the first kind are a set of orthogonal polynomials defined as the solutions to the Chebyshev differential equation and denoted ...
numpy.polynomial.chebyshev.Chebyshev.basis — NumPy v1.13 ...
https://docs.scipy.org/.../numpy.polynomial.chebyshev.Chebyshev.basis.html
10.06.2017 · Chebyshev. basis (deg, domain=None, window=None) [source] ¶. Series basis polynomial of degree deg. Returns the series representing the basis polynomial of degree deg. New in version 1.7.0. Parameters: deg : int. Degree of the basis polynomial for the series. Must be >= 0. domain : {None, array_like}, optional.
(PDF) Chebyshevian basis function-type block method for the ...
www.academia.edu › 67475696 › Chebyshevian_basis
π −1 1−x2 π, m = n = 0 In this paper, we derive a block method using the Chebyshev polynomial as our basis func- tion. This method has the advantages of permitting easy change of step-size, does not require a starting value, it simultaneously generates more than one solution at a time, easy to program and less expensive in terms of the ...
[1009.4597] On Polynomial Multiplication in Chebyshev Basis
https://arxiv.org › cs
In a recent paper Lima, Panario and Wang have provided a new method to multiply polynomials in Chebyshev basis which aims at reducing the total ...
Monomial to Chebyshev basis - File Exchange - MATLAB Central
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Mar 31, 2015 · Chebyshev basis A. The polynomial must be given with its coefficients in descending order, i.e. B = B_N*x^N + ... + B_1*x + B_0 Example: Suppose we have a polynomial in the monomial basis: b2*x^2 + b1*x + b0, with b2=2, b1=0, b0=-2 for example. We want to express the polynomial in the Chebyshev base
Fitting in Chebyshev basis — Scipy lecture notes
https://scipy-lectures.org/intro/numpy/auto_examples/plot_chebyfit.html
Fitting in Chebyshev basis. ¶. Plot noisy data and their polynomial fit in a Chebyshev basis. import numpy as np import matplotlib.pyplot as plt np.random.seed(0) x = np.linspace(-1, 1, 2000) y = np.cos(x) + 0.3*np.random.rand(2000) p = np.polynomial.Chebyshev.fit(x, y, 90) plt.plot(x, y, 'r.') plt.plot(x, p(x), 'k-', lw=3) plt.show() Total ...
Chebyshev Polynomials - Definition and Properties | Brilliant ...
brilliant.org › wiki › chebyshev-polynomials
Chebyshev Polynomials - Definition and Properties. The Chebyshev polynomials are a sequence of orthogonal polynomials that are related to De Moivre's formula. They have numerous properties, which make them useful in areas like solving polynomials and approximating functions.
numpy.polynomial.chebyshev.Chebyshev.basis
https://numpy.org › doc › generated
Chebyshev.basis(deg, domain=None, window=None)[source]¶. Series basis polynomial of degree deg. Returns the series representing the basis polynomial of ...
Chebyshev Polynomials
http://www.mhtl.uwaterloo.ca › web_chap6
Show that the Chebyshev polynomial T3(x) is a solution of Chebyshev's equation of order 3. 3. By means of the recurrence formula obtain Chebyshev polynomials T2 ...
Numerical evaluation of polynomials in Chebyshev basis
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Evaluating polynomials of arbitrarily large degree in a Chebyshev basis is practical, and provably numerically stable, using a barycentric interpolation ...
Chebyshev Polynomials as Basis Functions | SpringerLink
https://link.springer.com › chapter
Since the derivatives of the Fourier functions can be calculated analytically, the derivatives of the given function can be obtained. The ...
numpy.polynomial.chebyshev.Chebyshev.basis
https://docs.scipy.org › generated
classmethod Chebyshev.basis(deg, domain=None, window=None)[source]¶. Series basis polynomial of degree deg. Returns the series representing the basis ...
Sparse polynomial interpolation in Chebyshev bases
https://www-user.tu-chemnitz.de/~potts/paper/sparse_Cheb.pdf
Chebyshev bases Daniel Potts Manfred Taschez We study the problem of reconstructing a sparse polynomial in a basis of Chebyshev polynomials (Chebyshev basis in short) from given samples on a Chebyshev grid of [ 1;1]. A polynomial is called M-sparse in a Chebyshev basis, if it can be represented by a linear combination of MChebyshev poly-nomials.
Chebyshev polynomials - Wikipedia
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Furthermore, as mentioned previously, the Chebyshev polynomials form an orthogonal basis which (among other things) implies that the ...
Fitting in Chebyshev basis — Scipy lecture notes
scipy-lectures.org › intro › numpy
Fitting in Chebyshev basis. ¶. Plot noisy data and their polynomial fit in a Chebyshev basis. import numpy as np import matplotlib.pyplot as plt np.random.seed(0) x = np.linspace(-1, 1, 2000) y = np.cos(x) + 0.3*np.random.rand(2000) p = np.polynomial.Chebyshev.fit(x, y, 90) plt.plot(x, y, 'r.') plt.plot(x, p(x), 'k-', lw=3) plt.show() Total ...
Chebyshev polynomials - Wikipedia
en.wikipedia.org › wiki › Chebyshev_polynomials
The abundance of the theorems and identities inherited from Fourier series make the Chebyshev polynomials important tools in numeric analysis; for example they are the most popular general purpose basis functions used in the spectral method, often in favor of trigonometric series due to generally faster convergence for continuous functions ...
Chebyshev Polynomials - Definition and Properties ...
https://brilliant.org/wiki/chebyshev-polynomials-definition-and-properties
Chebyshev Polynomials - Definition and Properties. The Chebyshev polynomials are a sequence of orthogonal polynomials that are related to De Moivre's formula. They have numerous properties, which make them useful in areas like solving polynomials and …
Chebyshev polynomials - Wikipedia
https://en.wikipedia.org/wiki/Chebyshev_polynomials
In the appropriate Sobolev space, the set of Chebyshev polynomials form an orthonormal basis, so that a function in the same space can, on −1 ≤ x ≤ 1, be expressed via the expansion: Furthermore, as mentioned previously, the Chebyshev polynomials form an orthogonalbasis which (among other things) implies that the coefficients an c…
numpy.polynomial.chebyshev.Chebyshev.basis — NumPy v1.13 Manual
docs.scipy.org › doc › numpy-1
Jun 10, 2017 · Chebyshev. basis (deg, domain=None, window=None) [source] ¶. Series basis polynomial of degree deg. Returns the series representing the basis polynomial of degree deg. New in version 1.7.0. Parameters: deg : int. Degree of the basis polynomial for the series. Must be >= 0. domain : {None, array_like}, optional.