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The global Golub-Kahan method and Gauss quadrature for tensor function approximation
This paper is concerned with Krylov subspace methods based on the tensor t-product for computing certain quantities associated with generalized...
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On the Gauss-Kronrod quadrature formula for a modified weight function of Chebyshev type
In this paper, we consider the Gauss-Kronrod quadrature formulas for a modified Chebyshev weight. Efficient estimates of the error of these...
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Truncated Minimal-Norm Gauss–Newton Method Applied to the Inversion of FDEM Data
Electromagnetic induction techniques are among the most popular methods for non-invasive investigation of the soil. The collection of data is allowed...
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A dual symmetric Gauss-Seidel technique-based proximal ADMM for robust fused lasso estimation
Robust fused lasso (RFlasso) estimation plays an important role in regression analysis because it can deal with variable selection problems more...
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Internality of generalized averaged Gauss quadrature rules and truncated variants for modified Chebyshev measures of the third and fourth kinds
Gauss quadrature rules are commonly used to approximate integrals determined by a measure with support on a real interval. These rules are known to...
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A multidimensional Hermite-Gauss sampling formula for analytic functions of several variables
Recently, Norvidas has introduced the general multidimensional Hermite sampling series, which involves samples from a function and its mixed and...
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Gauss–Seidel progressive iterative approximation (GS-PIA) for subdivision surface interpolation
We propose Gauss–Seidel progressive iterative approximation (GS-PIA) for subdivision surface interpolation by combining the Gauss–Seidel iterative...
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A two-dimensional randomized extended Gauss-Seidel algorithm for solving least squares problems
We study a two-dimensional coordinate descent method to solve large linear least squares problems expanding on the method presented by Leventhal and...
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Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization
When there is a need to make an ultimate decision about the unique features of big data platforms, one should note that they have configurable...
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A Direct Location Algorithm Based on Gauss Newton Iteration
Introduction: With the rise of logistics, navigation, takeout and other industries, location information plays a more and more important role in...
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Using Gauss-Jacobi quadrature rule to improve the accuracy of FEM for spatial fractional problems
Though the finite element method has been widely used in solving fractional differential equations, the effects of the Gaussian quadrature rule on...
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The Gauss quadrature for general linear functionals, Lanczos algorithm, and minimal partial realization
The concept of Gauss quadrature can be generalized to approximate linear functionals with complex moments. Following the existing literature, this...
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Detection of changes in synthetic aperture radar images using Modified Gauss-Log ratio and Fuzzy Local Information C-Means clustering
Change detection in SAR is currently known to be a happening field of research in the domain of computer vision and remote sensing. There are...
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Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature
Many methods for performing multi-objective optimisation of computationally expensive problems have been proposed recently. Typically, a...
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An efficient Gauss–Newton algorithm for solving regularized total least squares problems
The total least squares (TLS) method is a well-known technique for solving an overdetermined linear system of equations A x ≈ b , that is appropriate...
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A noise-tolerant cryptosystem based on the decomposition of bit-planes and the analysis of chaotic gauss iterated map
Secure communication has become a challenging task for researchers. In these circumstances, several encryption techniques for digital images have...
