Results 181 to 190 of about 522,371 (218)
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An algorithm for constructing a class of Padé approximants of vector functions
Applied Numerical Mathematics, 1997A matrix of polynomials \(Q_{m,n}=\left(\begin{smallmatrix} Q_{(m,n)_1} & 0\\ Q_{(m,n)_2} & Q_{(m,n)_1}\end{smallmatrix}\right)\) is considered. Expressions of the components are given. Algorithms are derived for constructing approximants for \(Q_{m,n}\). Two recurrence relations between the elements of adjacent systems are found.
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Polynomial Approximation of Functions: Historical Perspective and New Tools
International Journal of Computers for Mathematical Learning, 2003Ivy Kidron
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Synthesizing Ranking Functions from Bits and Pieces
International Conference on Tools and Algorithms for Construction and Analysis of Systems, 2016Caterina Urban +2 more
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Surface-tracing approximation by basis functions and its applications to neural networks
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000Yoshifusa Ito
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Journal of the Indian Society for Probability and Statistics, 2021
A. Elshahhat, M. K. Rastogi
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A. Elshahhat, M. K. Rastogi
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Decay bounds and \(O(n)\) algorithms for approximating functions of sparse matrices
2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Benzi, Michele, Razouk, Nader
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An optimal algorithm for finding the roots of an approximately computed function
USSR Computational Mathematics and Mathematical Physics, 1968Abstract IN a wide range of practical and computational problems we have to find the roots of a function which can only be computed approximately for given values of its argument. Examples include the boundary value problem for a nonlinear system of differential equations, solved by specifying missing initial conditions (at one end), or the problem ...
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Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004., 2004
C. Diehl
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C. Diehl
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New algorithms for the approximation of fixed points and fractal functions
Chaos, Solitons & FractalsThis article is devoted to explore the abilities of an iterative scheme for the approximation of fixed points of self-maps, called the N-algorithm, defined in a previous paper. In a first part of the article, the algorithm is modified in order to consider operators with asymptotic properties, namely nearly uniform contractions and nearly asymptotically
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