60 resultados para Differential Equations with "maxima"


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

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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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2002 Mathematics Subject Classification: 35L80

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

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2000 Mathematics Subject Classification: 60H15, 60H40

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2000 Mathematics Subject Classification: 58C06, 47H10, 34A60.

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2000 Mathematics Subject Classification: Primary 42A38. Secondary 42B10.

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This article presents the principal results of the doctoral thesis “Direct Operational Methods in the Environment of a Computer Algebra System” by Margarita Spiridonova (Institute of mathematics and Informatics, BAS), successfully defended before the Specialised Academic Council for Informatics and Mathematical Modelling on 23 March, 2009.

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The present article discusses units of measure and their base units, work environments built in the Units package of the computer algebra system Maple. An analysis is drawn of the tools of the application in connection with the use of physical quantities and their features. Maple’s main commands are arranged in groups depending on the function. Some applied mathematical problems are given as examples making use of derivative, integral and differential equations.

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Due to wide range of interest in use of bio-economic models to gain insight into the scientific management of renewable resources like fisheries and forestry,variational iteration method (VIM) is employed to approximate the solution of the ratio-dependent predator-prey system with constant effort prey harvesting.The results are compared with the results obtained by Adomian decomposition method and reveal that VIM is very effective and convenient for solving nonlinear differential equations.

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2000 Mathematics Subject Classification: Primary 26A33; Secondary 35S10, 86A05

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Mathematics Subject Classification: 44A05, 44A35

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2000 Mathematics Subject Classification: 34K15, 34C10.

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An algorithm is produced for the symbolic solving of systems of partial differential equations by means of multivariate Laplace–Carson transform. A system of K equations with M as the greatest order of partial derivatives and right-hand parts of a special type is considered. Initial conditions are input. As a result of a Laplace–Carson transform of the system according to initial condition we obtain an algebraic system of equations. A method to obtain compatibility conditions is discussed.