This paper studies LU decomposition of inverse Vandermonde matrix. This decomposition is stable for inverses of most diagonal matrices. We firstly find a formula to decompose the transpose of this matrix by symmetrical functions and triangular decomposition. Then we propose a formula for inverse Vandermonde matrix, which is applied in many convergence analysis methods such as minimization, e.g. conjugated gradient method or minimum residual methods.

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