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Numerical Solution of Mean-Square Approximation Problem of Real Nonnegative Function by the Modulus of Double Fourier Integral 被引量:1

Numerical Solution of Mean-Square Approximation Problem of Real Nonnegative Function by the Modulus of Double Fourier Integral
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摘要 A nonlinear problem of mean-square approximation of a real nonnegative continuous function with respect to two variables by the modulus of double Fourier integral dependent on two real parameters with use of the smoothing functional is studied. Finding the optimal solutions of this problem is reduced to solution of the Hammerstein type two-dimensional nonlinear integral equation. The numerical algorithms to find the branching lines and branching-off solutions of this equation are constructed and justified. Numerical examples are presented. A nonlinear problem of mean-square approximation of a real nonnegative continuous function with respect to two variables by the modulus of double Fourier integral dependent on two real parameters with use of the smoothing functional is studied. Finding the optimal solutions of this problem is reduced to solution of the Hammerstein type two-dimensional nonlinear integral equation. The numerical algorithms to find the branching lines and branching-off solutions of this equation are constructed and justified. Numerical examples are presented.
机构地区 不详
出处 《Applied Mathematics》 2011年第9期1076-1090,共15页 应用数学(英文)
关键词 Mean-Square Approximation Discrete FOURIER Transform TWO-DIMENSIONAL NONLINEAR Integral Equation NONUNIQUENESS and Branching of Solutions TWO-DIMENSIONAL NONLINEAR Spectral Problem Mean-Square Approximation Discrete Fourier Transform Two-Dimensional Nonlinear Integral Equation Nonuniqueness and Branching of Solutions Two-Dimensional Nonlinear Spectral Problem
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