Results 251 to 260 of about 166,325,679 (283)

Investigation of methods of numerical integration with optimal convergence speed

Monte Carlo Methods and Applications, 2005
The comparison of optimal algorithms in functional Bachvalov classes with special importance sampling technique and simplest stochastic and deterministic methods of numerical integration is presented. This comparison was provided with the help of stochastic test system, which uses the samples of spectral models of random fields.
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Two numerical methods that converge to the method of least squares

Journal of the Franklin Institute, 1969
Abstract For approximation problems involving residuals that are linear functions of the parameters, it is shown that the collocation approximation approaches the least-squares approximation if the collocation equations are premultiplied by the transposed matrix and the number of collocation points becomes infinite.
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Numerical Implementation of the Approximately Globally Convergent Method

2012
In this chapter, we describe our computational implementation of the approximately globally convergent numerical method of Chap. 2. We use the algorithm of Sect. 2.6.1. Theorems 2.8.2 and 2.9.4 ensure the approximate global convergence of this algorithm within either of above two approximate mathematical models.
Larisa Beilina, Michael Victor Klibanov
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Application of the method of Lyapunov functions to the study of the convergence of numerical methods

USSR Computational Mathematics and Mathematical Physics, 1975
Abstract GENERALIZATIONS of the method of Lympunov functions are outlined, whereby the convergence of numerical methods of optimization may be proved. Theorems on sufficient conditions for the convergence of continuous and discrete schemes are stated and proved. The application of the theorems is illustrated by examples.
Evtusenko, Ju. G., Zadan, V. G.
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Convergence Theory of a Numerical Method for Solving the Chapman--Kolmogorov Equation

SIAM Journal on Numerical Analysis, 2002
Summary: A convergence theory has been established for a new numerical method for solving the Chapman-Kolmogorov equation [\textit{Y. Cai}, ``A numerical forecasting procedure for nonlinear autoregressive time series model'', manuscript, Department of Mathematics and Statistics, University of Surrey, Surrey, UK (2001)].
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Applications and numerical convergence of the partial inverse method

2006
In 1983, J.E. Spingarn introduced what he called the Partial Inverse Method in the framework of Mathematical Programming. Since his initial articles, numerous applications have been given in various fields including Lagrangian multipliers methods, location theory, convex feasibility problems, analysis of data, economic equilibrium problems.
H. Idrissi, O. Lefebvre, C. Michelot
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Convergence Acceleration in Numerical Methods

1974
Doctor of Philosophy (PhD)
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Convergence and Accuracy of Numerical Methods for Trajectory Calculations

Journal of Applied Meteorology, 1993
Abstract Computation of trajectories by a kinematic method requires the numerical solution of the differential equation by which the trajectory is defined. A widely used method is the iterative scheme of Petterssen which has second-order accuracy. The convergence and accuracy of this scheme is investigated for some simple flow types where analytical ...
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Sets of Fractional Operators and Numerical Estimation of the Order of Convergence of a Family of Fractional Fixed-Point Methods

Fractal and Fractional, 2021
A Torres-Hernandez, Fernando Brambila
exaly  

On the convergence of the iterative methods

Numerical Heat Transfer, Part B: Fundamentals, 2022
Vitor Costa
exaly