• 제목/요약/키워드: industrial mathematics

검색결과 826건 처리시간 0.02초

Numerical Solution For Fredholm Integral Equation With Hilbert Kernel

  • Abdou, Mohamed Abdella Ahmed;Hendi, Fathea Ahmed
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제9권1호
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    • pp.111-123
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    • 2005
  • Here, the Fredholm integral equation with Hilbert kernel is solved numerically, using two different methods. Also the error, in each case, is estimated.

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BOUNDARY CONTROLLABILITY OF ABSTRACT INTEGRODIFFERENTIAL SYSTEMS

  • Balachandran, K.;Leelamani, A.
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제7권1호
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    • pp.33-45
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    • 2003
  • In this paper we establish a set of sufficient conditions for the boundary controllability of nonlinear integrodifferential systems and Sobolev type integrodifferential systems in Banach spaces by using fixed point theorems.

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OPTIMALITY FOR MULTIOBJECTIVE FRACTIONAL VARIATIONAL PROGRAMMING

  • JO, CHEONGLAI;KIM, DOSANG
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제4권2호
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    • pp.59-66
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    • 2000
  • We consider a multiobjective fractional variational programming problem (P) involving vector valued functions. By using the concept of proper efficiency, a relationship between the primal problem and parametric multiobjective variational problem is indicated.

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Boundary Controllability of Delay Integrodifferential Systems in Banach Spaces

  • Balachandran, K.;Anandhi, E.R.
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제4권2호
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    • pp.67-75
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    • 2000
  • Sufficient conditions for boundary controllability of time varying delay integrodifferential systems in Banach spaces are established. The results are obtained by using the strongly continuous semigroup theory and the Banach contraction principle.

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PETROV-GALERKIN METHOD FOR NONLINEAR SYSTEM

  • Wang, Yuan-ming;Guo, Ben-yu
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제2권1호
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    • pp.61-71
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    • 1998
  • Petrov-Galerkin method is investigated for solving nonlinear systems without monotonicity. A monotone iteration is provided for solving the resulting problem. The numerical results show the advantages of such method.

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