A fully parallel method for tridiagonal eigenvalue problem.
Li, Kuiyuan (1994)
International Journal of Mathematics and Mathematical Sciences
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Displaying similar documents to “A numerical method for solving inverse eigenvalue problems”
A fully parallel method for tridiagonal eigenvalue problem.
A numerical method for solving inverse eigenvalue problems
Hua Dai (2010)
ESAIM: Mathematical Modelling and Numerical Analysis
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Based on -like decomposition with column pivoting, a new and efficient numerical method for solving symmetric matrix inverse eigenvalue problems is proposed, which is suitable for both the distinct and multiple eigenvalue cases. A locally quadratic convergence analysis is given. Some numerical experiments are presented to illustrate our results.
Partitioning inverse Monte Carlo iterative algorithm for finding the three smallest eigenpairs of generalized eigenvalue problem.
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Hua Dai (1995)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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The robust pole assignment problem for second-order systems.
Liu, Hao (2010)
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Algorithm 19. Calculation of all eigenvalues of a real matrix
A. Rakus (1972)
Applicationes Mathematicae
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Dwyer, H.I., Zettl, A. (1995)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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On the inverse eigenvalue problem for a special kind of acyclic matrices
Mohammad Heydari, Seyed Abolfazl Shahzadeh Fazeli, Seyed Mehdi Karbassi (2019)
Applications of Mathematics
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We study an inverse eigenvalue problem (IEP) of reconstructing a special kind of symmetric acyclic matrices whose graph is a generalized star graph. The problem involves the reconstruction of a matrix by the minimum and maximum eigenvalues of each of its leading principal submatrices. To solve the problem, we use the recurrence relation of characteristic polynomials among leading principal minors. The necessary and sufficient conditions for the solvability of the problem are derived....