Solving Nonlinear Eigenvalue Problems using an Improved Newton Method

نویسندگان

  • S. A Shahzadeh Fazeli
  • F. Rabiei
چکیده

Finding approximations to the eigenvalues of nonlinear eigenvalue problems is a common problem which arises from many complex applications. In this paper, iterative algorithms for finding approximations to the eigenvalues of nonlinear eigenvalue problems are verified. These algorithms use an efficient numerical approach for calculating the first and second derivatives of the determinant of the problem. Here we present and examine a technique for solving nonlinear eigenvalue problems using Newton method. Computational aspects of this approach for a nonlinear eigenvalue problem are analyzed. The efficiency of the algorithm is demonstrated using an example. Keywords—nonlinear eigenvalue problems; Newton method; LU-decomposition; refined eigenvalues

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تاریخ انتشار 2016