借助矩阵的合同变换法，给出了化实二次型为标准形的方法、求标准正交基的方法，并给出了正定二次型判定定理的新证明。
By means of congruent transformation in matrix, the method of transforming real quadratic form into standard form and the method of normal orthogonal basis are given in this paper.
本文主要说明在各种情况下，如何正确写出矩阵，并解决了基矢和矢量变换中的有关问题。
This paper mainly explains how to Corectly Write the matrices under kinds of circumstances, and resolves concerning problems in the transformation of basic vector and vectors.
本文用欧几里得算法，给出求解基矢变换对应矩阵的解析表达式。
An analytical method to find correspondence matrix for basic vector transformation is given by using elementary theory of numbers.
对用矩阵的初等变换求线性规划的无初始可行基问题进行了探讨。
The paper probes into the solution, by means of the matrix elementary transformation, of the non-elementary feasible base of linear program.
提出了欧拉向量、欧拉方向余弦矩阵、欧拉基变换方向余弦矩阵等概念，并给出相应的公式。
Some conceptions and the correspoinding equation is put forward, such as Euler vector, Euler orientation cosine matrix and Euler switch orientation cosine matrix.
基于多种稀疏变换基和观测矩阵的组合，采用正交匹配追踪算法对图像进行重建。
Orthogonal Matching Pursuit (OMP) algorithm is used to reconstruct images based on the combinations of several common sparse transform bases and measurement matrices.
基于多种稀疏变换基和观测矩阵的组合，采用正交匹配追踪算法对图像进行重建。
Orthogonal Matching Pursuit (OMP) algorithm is used to reconstruct images based on the combinations of several common sparse transform bases and measurement matrices.
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