Numerical experimentation with time-series methods for convolution integral equation

DOI10.1016/0377-0427(90)90164-UzbMath0701.65089OpenAlexW2046927068MaRDI QIDQ914350

Khosrow Maleknejad

Publication date: 1990

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-0427(90)90164-u

zbMATH Keywords

time seriestest problemsnumerical experimentationlinear Fredholm integral equations of the first kindkernels of convolution typeerror levelsmaximum likelihood function

Mathematics Subject Classification ID

Numerical methods for integral equations (65R20) Numerical methods for ill-posed problems for integral equations (65R30) Integral equations of the convolution type (Abel, Picard, Toeplitz and Wiener-Hopf type) (45E10)

Related Items (4)

Preconditined semilinear stochastic singular and hypersingular integral equations ⋮ A comparison of Fourier extrapolation methods for numerical solution of deconvolution ⋮ Numerical solution of stochastic linear heat conduction problem by using new algorithms ⋮ Numerical expansion methods for solving integral equations by interpolation and Gauss quadrature rules

Cites Work

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• Improved estimates of statistical regularization parameters in Fourier differentiation and smoothing
• Numerical differentiation procedures for non-exact data
• Practical Approximate Solutions to Linear Operator Equations When the Data are Noisy
• A Time Series Approach to Numerical Differentiation
• Numerical Differentiation and Regularization

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