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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2007.1
- 수록면
- 239 - 251 (13page)
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초록· 키워드
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We show how the minimization can be used to solve the quadratic matrix equation and then compare two different types of conjugate gradient method which are Polak and Ribi ere version and Fletcher and Reeves version. Finally,some results of the global and local convergence are shown.
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참고문헌 (15)
참고문헌 신청
/ 19381963printing. / Elementary Matrices and Some Applications to Dynamics and Di erential Equations
/ 1964 / Function minimization by conjugate gradients : 149 ~ 154
/ 1970 / A Fortran subroutine for solving systems of nonlinear algebraic equations Numerical Methods for Nonlinear Algebraic Equations
/ 1972 / H. P. Crowder and P. Wolfe. Linear convergence of the conjugate gradient method IBM Journal of Research and development : 431 ~ 433
/ 19811981. / George J. Davis. Numerical solution of a quadratic matrix equation : 164 ~ 175
/ 1964 / Function minimization by conjugate gradients : 149 ~ 154
/ 1970 / A Fortran subroutine for solving systems of nonlinear algebraic equations Numerical Methods for Nonlinear Algebraic Equations
/ 1972 / H. P. Crowder and P. Wolfe. Linear convergence of the conjugate gradient method IBM Journal of Research and development : 431 ~ 433
/ 19811981. / George J. Davis. Numerical solution of a quadratic matrix equation : 164 ~ 175
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