953 resultados para Equations, Biquadratic.


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2010 Mathematics Subject Classification: 35B65, 35S05, 35A20.

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2010 Mathematics Subject Classification: 35Q55.

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2010 Mathematics Subject Classification: 37K40, 35Q15, 35Q51, 37K15.

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2010 Mathematics Subject Classification: Primary 35J70; Secondary 35J15, 35D05.

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2010 Mathematics Subject Classification: 34A30, 34A40, 34C10.

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An iterative Monte Carlo algorithm for evaluating linear functionals of the solution of integral equations with polynomial non-linearity is proposed and studied. The method uses a simulation of branching stochastic processes. It is proved that the mathematical expectation of the introduced random variable is equal to a linear functional of the solution. The algorithm uses the so-called almost optimal density function. Numerical examples are considered. Parallel implementation of the algorithm is also realized using the package ATHAPASCAN as an environment for parallel realization.The computational results demonstrate high parallel efficiency of the presented algorithm and give a good solution when almost optimal density function is used as a transition density.

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2000 Mathematics Subject Classification: 60H30, 35K55, 35K57, 35B35.

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2002 Mathematics Subject Classification: 35S05

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2002 Mathematics Subject Classification: 35L80

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2002 Mathematics Subject Classification: 35S05

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2002 Mathematics Subject Classification: 35J15, 35J25, 35B05, 35B50

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2002 Mathematics Subject Classification: Primary 35В05; Secondary 35L15

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2000 Mathematics Subject Classification: 60J80, 60J85

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In this paper we propose a refinement of some successive overrelaxation methods based on the reverse Gauss–Seidel method for solving a system of linear equations Ax = b by the decomposition A = Tm − Em − Fm, where Tm is a banded matrix of bandwidth 2m + 1. We study the convergence of the methods and give software implementation of algorithms in Mathematica package with numerical examples. ACM Computing Classification System (1998): G.1.3.

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This paper is dedicated to Prof. Nikolay Kyurkchiev on the occasion of his 70th anniversary This paper gives sufficient conditions for kth approximations of the zeros of polynomial f (x) under which Kyurkchiev’s method fails on the next step. The research is linked with an attack on the global convergence hypothesis of this commonly used in practice method (as correlate hypothesis for Weierstrass–Dochev’s method). Graphical examples are presented.