Results 21 to 30 of about 3,413,020 (302)
Statistical Approximation of q-Bernstein-Schurer-Stancu-Kantorovich Operators
Journal of Applied Mathematics, 2014 We introduce two kinds of Kantorovich-type q-Bernstein-Schurer-Stancu operators. We first estimate moments of q-Bernstein-Schurer-Stancu-Kantorovich operators. We also establish the statistical approximation properties of these operators. Furthermore, we
Qiu Lin
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Comparison of Approximation Methods for the Estimation of Distributions in the Analysis of the G/G/1 Queue [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 The analysis of Weibull and Pareto distribution functions in the approximation of the density of a sum of damping functions, PMRQ approximation and approximation of service distribution in the peak mode of the flow.
O. Karaulova +3 more
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Approximation of Bayesian inverse problems for PDEs [PDF]
, 2010 Inverse problems are often ill posed, with solutions that depend sensitively on data. In any numerical approach to the solution of such problems, regularization of some form is needed to counteract the resulting instability.
Dashti, Massoumeh +7 more
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Quantum statistics and thermodynamics in the harmonic approximation [PDF]
Physical Review E, 2012 We describe a method to compute thermodynamic quantities in the harmonic approximation for identical bosons and fermions in an external confining field. We use the canonical partition function where only energies and their degeneracies enter. The number of states of given energy and symmetry is found by separating the center of mass motion, and ...
Armstrong, Jeremy Robert +3 more
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Statistical Approximation for Periodic Functions of Two Variables
Journal of Function Spaces and Applications, 2013 We prove a Korovkin type approximation theorem for a function of two variables by using the notion of statistical summability (C,1,1). We also study the rate of statistical summability (C,1,1) of positive linear operators. Finally we construct an example
Abdullah Alotaibi +2 more
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Application of f-lacunary statistical convergence to approximation theorems
Journal of Inequalities and Applications, 2018 The concept of f-lacunary statistical convergence which is, in fact, a generalization of lacunary statistical convergence, has been introduced recently by Bhardwaj and Dhawan (Abstr. Appl. Anal. 2016:9365037, 2016).
Vinod K Bhardwaj, Shweta Dhawan
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Computing Approximate Statistical Discrepancy
CoRR, 2018 Consider a geometric range space $(X,cA)$ where each data point $x \in X$ has two or more values (say $r(x)$ and $b(x)$). Also consider a function $Φ(A)$ defined on any subset $A \in (X,cA)$ on the sum of values in that range e.g., $r_A = \sum_{x \in A} r(x)$ and $b_A = \sum_{x \in A} b(x)$. The $Φ$-maximum range is $A^* = \arg \max_{A \in (X,cA)} Φ(A)$
Matheny, Michael, Phillips, Jeff M.
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Variational inequations and approximation [PDF]
, 1974 The existence and uniqueness of the solution of a variational inequality is considered, and methods of approximation of the solution are given.
Noor, MA
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Statistical Deferred Weighted Riemann Summability and Fuzzy Approximation Theorems [PDF]
Sahand Communications in Mathematical AnalysisThe notion of statistical convergence has fascinated many researchers due mainly to the fact that it is more general than the well-established hypothesis of ordinary (classical) convergence.
Priyadarsini Parida +2 more
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Mathematics, 2022 An alternative approach, known today as the Bernstein polynomials, to the Weierstrass uniform approximation theorem was provided by Bernstein. These basis polynomials have attained increasing momentum, especially in operator theory, integral equations ...
Faruk Özger +2 more
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