Results 1 to 10 of about 1,733,597 (144)
Accuracy Assessment of LiDAR-Derived Digital Elevation Models Based on Approximation Theory
The cumulative error at a point in a LiDAR-derived DEM consists of three components: propagated LiDAR-sensor error, propagated ground error, and interpolation error.
XiaoHang Liu, Hai Hu, Peng Hu
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A sufficient condition for null controllability of nonlinear control systems [PDF]
Classical control methods such as Pontryagin Maximum Principle and Bang-Bang Principle and other methods are not usually useful for solving opti-mal control systems (OCS) specially optimal control of nonlinear systems (OCNS).
A. Heydari, A.V. Kamyad
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Generalised discretisation of continuous-time distributions
In this study, the definition of discretisation that was proposed recently for continuous-time distributions is made applicable not only to ordinary functions but to a variety of distributions including weak derivatives such that they could be viewed ...
Shin Kawai, Noriyuki Hori, Noriyuki Hori
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Adaptive beamformers at the element level usually require a great number of training samples and the computational cost for calculating the weight vector for large phased array antennas is very high, which make it difficult for real‐time applications. To
Wei Gao +4 more
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On boundedness inequalities in the variation of certain Schurer-type operators; pp. 1–9 [PDF]
This paper is concerned with boundedness inequalities in the variation for the higher order derivatives of general Schurertype operators. In particular, the boundedness inequalities in the variation for the higher order derivatives of the Bernsteinâ ...
Andi Kivinukk, Tarmo Metsmägi
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Approximation Theory and Related Applications
The theory of approximation of functions is one of the central branches of mathematical analysis [...]
Yurii Kharkevych
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Bosonic Collective Excitations in Fermi Gases [PDF]
Hartree-Fock theory has been justified as a mean-field approximation for fermionic systems. However, it suffers from some defects in predicting physical properties, making necessary a theory of quantum correlations.
Benedikter, Niels
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Data Based Construction of Kernels for Semi-Supervised Learning With Less Labels
This paper deals with the problem of semi-supervised learning using a small number of training samples. Traditional kernel based methods utilize either a fixed kernel or a combination of judiciously chosen kernels from a fixed dictionary. In contrast, we
Hrushikesh Mhaskar +3 more
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Algorithms and error bounds for multivariate piecewise constant approximation [PDF]
We review the surprisingly rich theory of approximation of functions of many vari- ables by piecewise constants. This covers for example the Sobolev-Poincar´e inequalities, parts of the theory of nonlinear approximation, Haar wavelets and tree ...
Davydov, Oleg
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Approximation Theory for Matrices [PDF]
We review the theory of optimal polynomial and rational Chebyshev approximations, and Zolotarev's formula for the sign function over the range (\epsilon \leq |z| \leq1).
A.D. Kennedy +25 more
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