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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Circuits, systems and signal processing 10 (1991), S. 15-30 
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In the study of robust stability, the largest coefficient region of a given stable polynomial that guarantees stability preservation under perturbation of coefficients is to be determined. A general consideration including both Hurwitz and Schur polynomials is treated in this paper. For this purpose, the notion ofperturbation constant is introduced. As a consequence of our results, we also introduce a general Kharitonov-type stability test which is based on testing the stability and perturbation constant of a single polynomial.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Advances in computational mathematics 1 (1993), S. 61-80 
    ISSN: 1572-9044
    Keywords: Neural networks ; uniform approximation ; multivariate splines ; analytic functions ; modulus of smoothness ; (AMS) 41A15 ; 41A63
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract We prove that an artificial neural network with multiple hidden layers and akth-order sigmoidal response function can be used to approximate any continuous function on any compact subset of a Euclidean space so as to achieve the Jackson rate of approximation. Moreover, if the function to be approximated has an analytic extension, then a nearly geometric rate of approximation can be achieved. We also discuss the problem of approximation of a compact subset of a Euclidean space with such networks with a classical sigmoidal response function.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Monatshefte für Mathematik 120 (1995), S. 91-103 
    ISSN: 1436-5081
    Keywords: 41A10 ; 30C15
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Letw be a suitable weight function,B n,p denote the polynomial of best approximation to a functionf inL w p [−1, 1],v n be the measure that associates a mass of 1/(n+1) with each of then+1 zeros ofB n+1,p−B n,p and μ be the arcsine measure defined by $$d\mu : = (\pi \sqrt {1 - x^2 } )^{ - 1} dx$$ . We estimate the rate at which the sequencev n converges to μ in the weak-* topology. In particular, our theorem applies to the zeros of monic polynomials of minimalL w p norm.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Constructive approximation 4 (1988), S. 65-83 
    ISSN: 1432-0940
    Keywords: Primary 41A25 ; Primary 42C05 ; Exponential weights ; Freud's conjecture ; Orthogonal polynomials ; Recurrence relation coefficients
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract LetW (x) be a function nonnegative inR, positive on a set of positive measure, and such that all power moments ofW 2(x) are finite. Let {p n (W 2;x)} 0 ∞ denote the sequence of orthonormal polynomials with respect to the weightW 2(x), and let {A n } 1 ∞ and {B n } 1 ∞ denote the coefficients in the recurrence relation $$xp_n (W^2 ,x) = A_{n + 1} p_{n + 1} (W^2 ,x) + B_n p_n (W^2 ,x) + A_n p_{n - 1} (W^2 ,x).$$ . WhenW(x) =w(x) exp(-Q(x)), xε(-∞,∞), wherew(x) is a “generalized Jacobi factor,” andQ(x) satisfies various restrictions, we show that $$\mathop {\lim }\limits_{n \to \infty } {{A_n } \mathord{\left/ {\vphantom {{A_n } {a_n }}} \right. \kern-\nulldelimiterspace} {a_n }} = \tfrac{1}{2}and\mathop {\lim }\limits_{n \to \infty } {{B_n } \mathord{\left/ {\vphantom {{B_n } {a_n }}} \right. \kern-\nulldelimiterspace} {a_n }} = 0,$$ where, forn large enough,a n is the positive root of the equation $$n = ({2 \mathord{\left/ {\vphantom {2 \pi }} \right. \kern-\nulldelimiterspace} \pi })\int_0^1 {a_n xQ'(a_n x)(1 - x^2 )^{ - {1 \mathord{\left/ {\vphantom {1 2}} \right. \kern-\nulldelimiterspace} 2}} dx.}$$ In the special case, Q(x) = ¦x¦α, a 〉 0, this proves a conjecture due to G. Freud. We also consider various noneven weights, and establish certain infinite-finite range inequalities for weighted polynomials inL p(R).
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Constructive approximation 8 (1992), S. 105-124 
    ISSN: 1432-0940
    Keywords: 31A15 ; 30C85 ; Potential theory ; Logarithmic capacity ; Transfinite diameter ; Weighted polynomials ; Chebyshev constant ; Equilibrium measure
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract For an arbitrary closed subsetE of the complex plane, the notions of logarithmic capacity, transfinite diameter, and Chebyshev constant ofE with respect to an admissible weightw onE are introduced. For thew-modified capacity, an electrostatics problem for logarithmic potentials in the presence of an external field is analyzed. This leads to an extremal measure whose support is the “smallest” compact set where the sup norm of weighted polynomials “live.” The introduction of a weightw has the advantage that the classical quantities mentioned in the title can be considered for unbounded setsE. Some of the theorems presented are generalizations of the authors' previous results for the case whenE⊂R.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Constructive approximation 9 (1993), S. 167-190 
    ISSN: 1432-0940
    Keywords: 41A05 ; 42A15 ; Wavelets ; Modified Dirichlet kernel ; Localization ; Decomposition ; Reconstruction
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Wavelets in terms of sine and cosine functions are constructed for decomposing 2π-periodic square-integrable functions into different octaves and for yielding local information within each octave. Results on a simple mapping into the approximate sample space, order of approximation of this mapping, and pyramid algorithms for decomposition and reconstruction are also discussed.
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Constructive approximation 1 (1985), S. 71-91 
    ISSN: 1432-0940
    Keywords: Primary, 41 A 25, 31 B 15 ; Secondary, 33 A 65 ; Polynomial ; Supremum norm ; Weight functions ; Incomplete polynomials ; Potential theory ; Chebyshev polynomials ; Zero distributions
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract A characterization is given of the sets supporting the uniform norms of weighted polynomials [w(x)] n P n (x), whereP n is any polynomial of degree at mostn. The (closed) support ∑ ofw(x) may be bounded or unbounded; of special interest is the case whenw(x) has a nonempty zero setZ. The treatment of weighted polynomials consists of associating each admissible weight with a certain functional defined on subsets of ∑ —Z. One main result of this paper states that there is a unique compact set (independent ofn andP n ) maximizing this functional that contains the points where the norms of weighted polynomials are attained. The distribution of the zeros of Chebyshev polynomials corresponding to the weights [w(x)] n is also studied. The main theorems give a unified method of investigating many particular examples. Applications to weighted approximation on the real line with respect to a fixed weight are included.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Advances in computational mathematics 5 (1996), S. 233-243 
    ISSN: 1572-9044
    Keywords: Neural networks ; Sobolev spaces ; spline approximation ; ridge functions ; 41A63 ; 41A30 ; 94C99
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Lets≥1 be an integer andW be the class of all functions having integrable partial derivatives on [0, 1] s . We are interested in the minimum number of neurons in a neural network with a single hidden layer required in order to provide a mean approximation order of a preassignedε〉0 to each function inW. We prove that this number cannot be $$\mathcal{O}( \in ^{ - s} log(1/ \in ))$$ if a spline-like localization is required. This cannot be improved even if one allows different neurons to evaluate different activation functions, even depending upon the target function. Nevertheless, for anyδ〉0, a network with $$\mathcal{O}( \in ^{ - s - \delta } )$$ neurons can be constructed to provide this order of approximation, with localization. Analogous results are also valid for otherL p norms.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Acta mathematica hungarica 44 (1984), S. 223-227 
    ISSN: 1588-2632
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Acta mathematica hungarica 60 (1992), S. 225-240 
    ISSN: 1588-2632
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Type of Medium: Electronic Resource
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