Results 131 to 140 of about 1,014,881 (173)

Sharp estimates for Hübner’s upper bound function with applications

Applied Mathematics-A Journal of Chinese Universities, 2010
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Qiu, Songliang, Ren, Liangyu
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Upper and Lower Estimates for the Modulus of Bounded Holomorphic Functions

Complex Analysis and Operator Theory, 2015
The following multi-point version of \textit{V. N. Dubinin}'s theorem [J. Math. Sci. 207, (6), 825--831 (2015)] is proved. Theorem. Let \(f\) be a holomorphic self-map of the unit disc \({\mathbb D}\), whose image does not contain any circle \(|z|=\rho ...
Cleanthous, Galatia, Georgiadis, Athanasios   +1 more
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Signal power upper bound in parameter estimation

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
In this note, an upper bound on the signal power corresponding to a hypothesized model is derived assuming unknown signal and noise characteristics. A residual matrix is obtained from the observed data correlation matrix by subtracting a weighted outer product of the model vector.
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An upper bound on the estimation error in the threshold region

IEEE Transactions on Information Theory, 1970
Summary: An upper bound on the estimation error in the threshold region (probability of threshold effect and mean-square error) is obtained for nonlinear pulse modulation systems. The problem is viewed in an \(N\)-dimensional Euclidean space. The space of all received signals is divided into two regions, corresponding to the two types of error: weak ...
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Extension of the Upper Bound Method to Include Estimation of Stresses

Journal of Applied Mechanics, 1991
The upper bound method is a convenient tool for evaluating the rate of work in processes involving predominantly plastic deformation of rigid/perfectly plastic material. Since the rate of work for an incompressible material depends only on the deviator portion of the stress, the hydrostatic portion does not enter the formulation and the stress field is
Azarkhin, A., Richmond, O.
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Lower and upper bounds of the sizes of domains: Estimates and experiments

Information Processing Letters, 1986
Abstract We present a statistical method which allows computation of estimates of lower and upper bounds of the unknown sizes of domains on weaker assumptions than the usual ones. The results of experiments enable us to compare the computed bounds to the already known sizes of actual domains.
Paul Bourret, R. Souza de Oliveira
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Estimating Upper Bounds for Improving the Filtering in Interval Branch and Bound Optimizers

2014 IEEE 26th International Conference on Tools with Artificial Intelligence, 2014
When interval branch and bound solvers are used for solving constrained global optimization, upper bounding the objective function is an important mechanism which helps to reduce globally the search space. Each time a new upper bound UB is found during the search, a constraint related to the objective function fobj (x).
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Cone-bounded nonlinearities and mean-square bounds--Estimation upper bound

IEEE Transactions on Automatic Control, 1973
This paper is the first in a series of three, the remaining two of which will appear at a later date. Performance bounds are derived in this series of papers for causal state estimation and regulation problems employing mean-square criteria. The systems considered are partially observed finite-dimensional continuous-time stochastic processes driven by ...
Gilman, Alfred S., Rhodes, Ian B.
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ESTIMATION OF UPPER BOUNDS FOR THE RATES OF ENZYMATIC REACTIONS

Chemical Engineering Communications, 1990
A general methodology that allows the estimation of maximum rates of enzymatic reactions is described.
MICHAEL L. MAVROVOUNIOTIS, GEORGE STEPHANOPOULOS, GREGORY STEPHANOPOULOS   +2 more
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An upper bound for the recursive least squares estimation error

IEEE Transactions on Automatic Control, 1995
Summary: A new upper bound for the convergence rate of recursive least squares (RLS) errors is presented. The bound is free of some deficiencies of a well-known RLS upper bound and allows a realistic assessment of factors influencing convergence rate, such as input-output data scaling, disturbances, single-to-noise ratio, number of estimated parameters,
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