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Chebyshev Approximation of Multivariable Functions by a Power Expression
by
Malachivskyy, P. S.
, Pizyur, Ya. V.
, Melnychok, L. S.
in
Approximation
/ Artificial Intelligence
/ Charged particles
/ Chebyshev approximation
/ Control
/ Least squares method
/ Mathematical functions
/ Mathematics
/ Mathematics and Statistics
/ Polynomials
/ Processor Architectures
/ Software Engineering/Programming and Operating Systems
/ Systems Theory
/ Variables
/ Weighting functions
2024
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Chebyshev Approximation of Multivariable Functions by a Power Expression
by
Malachivskyy, P. S.
, Pizyur, Ya. V.
, Melnychok, L. S.
in
Approximation
/ Artificial Intelligence
/ Charged particles
/ Chebyshev approximation
/ Control
/ Least squares method
/ Mathematical functions
/ Mathematics
/ Mathematics and Statistics
/ Polynomials
/ Processor Architectures
/ Software Engineering/Programming and Operating Systems
/ Systems Theory
/ Variables
/ Weighting functions
2024
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Do you wish to request the book?
Chebyshev Approximation of Multivariable Functions by a Power Expression
by
Malachivskyy, P. S.
, Pizyur, Ya. V.
, Melnychok, L. S.
in
Approximation
/ Artificial Intelligence
/ Charged particles
/ Chebyshev approximation
/ Control
/ Least squares method
/ Mathematical functions
/ Mathematics
/ Mathematics and Statistics
/ Polynomials
/ Processor Architectures
/ Software Engineering/Programming and Operating Systems
/ Systems Theory
/ Variables
/ Weighting functions
2024
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Chebyshev Approximation of Multivariable Functions by a Power Expression
Journal Article
Chebyshev Approximation of Multivariable Functions by a Power Expression
2024
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Overview
The paper proposes the method for constructing Chebyshev approximation of multivariable functions with a relative error using a power expression. It involves building an intermediate Chebyshev approximation of values rooted to the corresponding degree of the approximated function by a polynomial with a relative error. Parameters for the polynomial approximation are computed as the boundary mean-power approximation through an iterative scheme using the least squares method with a variable weight function. The authors provide test examples, confirming the fast convergence of the method for constructing the Chebyshev approximation for the functions of one, two, and three variables using power expression.
Publisher
Springer US,Springer,Springer Nature B.V
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