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convergence behavior

Successive interference cancelation and MAP decoding for mobile MIMO OFDM systems and their convergence behavior

Successive interference cancelation and MAP decoding for mobile MIMO OFDM systems and their convergence behavior

... Convergence behavior of iterative systems is difficult to analyze in ...the convergence behavior of iterative ...the convergence speed is also taken into ...the convergence ...

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Result on the Convergence Behavior of Solutions of Certain System of Third Order Nonlinear Differential Equations

Result on the Convergence Behavior of Solutions of Certain System of Third Order Nonlinear Differential Equations

... Convergence behaviors of solutions arising from certain system of third-order nonlinear differen- tial equations are studied. Such convergence of solutions corresponding to extreme stability of solutions ...

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Semi-convergence and relaxation parameters for a class of SIRT algorithms

Semi-convergence and relaxation parameters for a class of SIRT algorithms

... semi-convergence behavior of A LGORITHM SIRT using a constant relaxation parameter and show that the total error can be decomposed into two parts, the iteration-error and the noise- ...the behavior ...

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The effect of near-zone preconditioning on electromagnetic integral equations of first and second kind

The effect of near-zone preconditioning on electromagnetic integral equations of first and second kind

... the convergence characteristics of the CFIE, which is naturally better conditioned than the EFIE, as described ...The convergence properties of the EFIE and the CFIE are compared by computing the RCS of an ...

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Iterative Solution of Large Sparse Linear Systems Arising from Application of Interior Point Method in Computational Geomechanics

Iterative Solution of Large Sparse Linear Systems Arising from Application of Interior Point Method in Computational Geomechanics

... A. Incomplete Cholesky factorization with fixed fill-in Tables II to IV show the convergence behavior of the PCG method preconditioned with FFIC(  ) for different values of  . In all cases of applying to ...

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Optimized Schwarz methods for Maxwell's equations

Optimized Schwarz methods for Maxwell's equations

... same convergence behavior as a simple optimized Schwarz method applied to the Helmholtz equation, with a low frequency approximation of the optimal transmission ...

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On rational approximation in a ball in ℂN

On rational approximation in a ball in ℂN

... of convergence behavior of interest in this ...Montessus-type convergence. The second convergence behavior is the weaker of the two, and it is given in terms of convergence in ...

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Krylov Subspace Solvers and Preconditioners

Krylov Subspace Solvers and Preconditioners

... This leads to the simplest form of the QMR method. A more general form arises if the least squares problem (50) is replaced by a weighted least squares problem. No strategies are yet known for optimal weights, however. ...

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Robust numerical schemes for anisotropic diffusion problems, a first step
for turbulence modeling in Lagrangian hydrodynamics

Robust numerical schemes for anisotropic diffusion problems, a first step for turbulence modeling in Lagrangian hydrodynamics

... Future works will include a way to obtain a diffusion scheme satisfying a good convergence behavior (see numerical tests in section 5) and then the Discrete Maximum Principle on arbitrary unstructured ...

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Controlling semi-convergence phenomenon in non-stationary simultaneous iterative methods

Controlling semi-convergence phenomenon in non-stationary simultaneous iterative methods

... We study semi-convergence behavior of the non-stationary SIM, when applied to noisy data. Our main focus is to propose some techniques for updating relaxation parameters to control the data error. Having a ...

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How to use the smith factorization for domain decomposition methods applied to the stokes equations

How to use the smith factorization for domain decomposition methods applied to the stokes equations

... Summary. In this paper we demonstrate that the Smith factorization is a powerful tool to derive new domain decomposition methods for vector valued problems. Here, the factorization is applied to the two-dimensional ...

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Convergence Analysis of Iterative Threshold Decoding Process

Convergence Analysis of Iterative Threshold Decoding Process

... Today the error correcting codes are present in all the telecom standards, in particu- lar the low density parity check (LDPC) codes. The choice of a good code for a given network is essentially linked to the decoding ...

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Arbitrarily Fast CRR Schemes

Arbitrarily Fast CRR Schemes

... the convergence behavior of binomial schemes to calculate op- tion prices has been a popular topic, in particular for the European, Amer- ican, Continuously Paying, Lookback, Digital, Game, and Barrier ...

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Cognitive load in the multi player prisoner's dilemma game

Cognitive load in the multi player prisoner's dilemma game

... straightforward. Behavior is not exclusively a function of the level of cooperation in the previous period or exclusively a function of the change in the cooperation, but it is a function of both ...

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Trade-off between morphological convergence and opportunistic diet behavior in fish hybrid zone

Trade-off between morphological convergence and opportunistic diet behavior in fish hybrid zone

... shape convergence is not in accordance with the ecological character displacement theory wherein when two species overlap geographically the difference between them is accentuated in the zone of sympatry and ...

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Using GA, PSO and hybrid GA-PSO based algorithms for solving the least-cost multicast problem with QoS constraints

Using GA, PSO and hybrid GA-PSO based algorithms for solving the least-cost multicast problem with QoS constraints

... local search ability, premature convergence and slow convergence speed. PSO algorithm was originally proposed by Kennedy and Eberhart [9] as a simulation of social behavior[r] ...

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Heterogeneity in Earning Management of Listed Companies Following International Financial Reporting Standards Convergence: A Developing Country Experiences

Heterogeneity in Earning Management of Listed Companies Following International Financial Reporting Standards Convergence: A Developing Country Experiences

... the expected political cost, large companies may have to increase the credibility of financial statements with the actual application of IFRS (Guerreiro et al., 2008). Moreover, compliance with IFRS may less costly for ...

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A generalization of the global limit theorems of R  P  Agnew

A generalization of the global limit theorems of R P Agnew

... convergence, complete convergence, almost everywhere convergence, uniform convergence, sums of independent random variables, central limit theorem, Liapounov condition... 1980 AMS SUBJEC[r] ...

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Complete convergence and complete moment convergence for a class of random variables

Complete convergence and complete moment convergence for a class of random variables

... complete convergence and complete moment convergence and obtain the equivalence of the complete convergence and complete moment convergence for the class of random variables satisfying a ...

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On lacunary statistical boundedness

On lacunary statistical boundedness

... Statistical convergence is a generalization of the usual notion of ...statistical convergence was given in the first edition (published in Warsaw in ) of the monograph of Zygmund [], who called it ...

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