• 优化后预处理正交极小化算法为基础多层全隐式模拟模型进行单位的粒度并行任务划分 。

    At the base of optimized ORTHOMIN method, the two dimension two phase full-implicit model with muti-layers has been paralleled as coarse granularity.

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  • 第一我们给出多元正交多项式再生一个广义极小性质

    In the first section, we give out a generalised minimum property of then-th reproducing kernel of the multivariate orthogonal polynomials.

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  • 有限元模型质量刚度参数表示这些参数由正交条件和特征方程加权欧氏范数取极小来确定

    The finite element model is expressed by mass and stiffness parameters, which are determined by minimization of weighted Euclidean, norms of orthogonality conditions and characteristics equations.

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  • 模糊空间极小向量定理基础,给出向量拟模糊正交定义,在模糊内积空间中证明了投影定理。

    Based on the minimizing vector theorem of the fuzzy inner product space, the pseudo fuzzy orthogonal vector is defined and the projected theorem of the fuzzy inner product space is testified.

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  • 模糊空间极小向量定理基础,给出向量拟模糊正交定义,在模糊内积空间中证明了投影定理。

    Based on the minimizing vector theorem of the fuzzy inner product space, the pseudo fuzzy orthogonal vector is defined and the projected theorem of the fuzzy inner product space is testified.

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