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Parallel computation of determinants of matrices with polynomial entries

机译:具有多项式项的矩阵行列式的并行计算

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摘要

An algorithm for computing the determinant of a matrix whose entries are multivariate polynomials is presented. It is based on classical multivariate Lagrange polynomial interpolation, and it exploits the Kronecker product structure of the coefficient matrix of the linear system associated with the interpolation problem. From this approach, the parallelization of the algorithm arises naturally. The reduction of the intermediate expression swell is also a remarkable feature of the algorithm.
机译:提出了一种计算行列式为多元多项式的矩阵的行列式的算法。它基于经典的多元Lagrange多项式插值,并利用与插值问题相关的线性系统系数矩阵的Kronecker乘积结构。通过这种方法,算法的并行化自然而然地出现了。中间表达膨胀的减少也是该算法的显着特征。

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