82 resultados para semilinear parabolic equations


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In this paper, we are considered with the optimal control of a schrodinger equation. Based on the formulation for the variation of the cost functional, a gradient-type optimization technique utilizing the finite difference method is then developed to solve the constrained optimization problem. Finally, a numerical example is given and the results show that the method of solution is robust.

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

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Mathematics Subject Classification: 26A33, 45K05, 35A05, 35S10, 35S15, 33E12

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Mathematics Subject Classification: 65C05, 60G50, 39A10, 92C37

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Mathematics Subject Classification: 26A33, 34A25, 45D05, 45E10

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2000 Mathematics Subject Classification: 45A05, 45B05, 45E05,45P05, 46E30

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Mathematics Subject Classification: 44A05, 44A35

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Mathematics Subject Classification: 26A33, 31B10

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AMS Subj. Classification: 49J15, 49M15

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AMS Subj. Classification: 47J10, 47H30, 47H10

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A dichotomysimilar property for a class of homogeneous differential equations in an arbitrary Banach space is introduced. By help of them, existence of quasi bounded solutions of the appropriate nonhomogeneous equation is proved.

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Stability of nonlinear impulsive differential equations with "supremum" is studied. A special type of stability, combining two different measures and a dot product on a cone, is defined. Perturbing cone-valued piecewise continuous Lyapunov functions have been applied. Method of Razumikhin as well as comparison method for scalar impulsive ordinary differential equations have been employed.

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In this work we give su±cient conditions for k-th approximations of the polynomial roots of f(x) when the Maehly{Aberth{Ehrlich, Werner-Borsch-Supan, Tanabe, Improved Borsch-Supan iteration methods fail on the next step. For these methods all non-attractive sets are found. This is a subsequent improvement of previously developed techniques and known facts. The users of these methods can use the results presented here for software implementation in Distributed Applications and Simulation Environ- ments. Numerical examples with graphics are shown.

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A modification of the Nekrassov method for finding a solution of a linear system of algebraic equations is given and a numerical example is shown.

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MSC 2010: 26A33, 34A37, 34K37, 34K40, 35R11