物料混合问题的一种改进辨识方法——加权最小二乘法

改进文（１）提出的物料混合参数辨识算法，使其适用于时变参数的实时辨识，提出对时变参数的动态跟踪速度。给出计算实例，并与文（１）方法的计算结果进行比较。     

单系统齐次和非齐次微分方程解的有界性

本首先研究了单系统齐次微分方程系数矩阵与解的关系；并给出了解的有界性与特征函数之间的一般关系，最后讨论了非齐次线性方程解的有界性。     

求常系数线性非齐次微分方程特解的矩阵方法

对于常系数线性非齐次微分方程，如何简化求特解的运算，是高等数学教学中值得探讨的一个课题，本给出一种方法，它仍属于待定系数法，但省去了把所谓“形式特解一代入线性微分算子的过程，因而简化了计算，此方法以矩阵形式出现，故称为矩阵方法。     

矩阵的γ阶相似性

本首次给出了两个矩阵γ阶相似的概念，并得到了矩阵γ阶相似的充要条件及γ阶相似下关于矩阵的秩、特征多项式的一些性质，从而进一步丰富了矩阵的相似理论。     

部分变量带非负约束的严格凸二次规划问题的新算法

本将正交校正共轭梯度法推广来解只有部分变量带非负约束而其它变量无约束的严格凸二次规划，所建立的新算法的优点是：在迭代过程中，不用求逆矩阵，这样能保持矩阵的稀疏性，数值结果表明，算法对大规模稀疏二次规划问题是可行和有效的。     

STABLE DOUBLE LR ALGORITHM AND ITS ERROR ANALYSIS

In this paper, the normative matrices and their double LR transformation with origin shifts are defined, and the essential relationship between the double LR transformation of a normative matrix and the QR transformation of the related symmetric tridiagonal matrix is proved. We obtain a stable double LR algorithm for double LR transformation of normative matrices and give the error analysis of our algorithm. The operation number of the stable double LR algorithm for normative matrices is only four sevenths of the rational QR algorithm for reed symmetric tridiagonal matrices.     

Augmented Spinor Space

In this paper, based on the Pauli matrices, a notion of augmented spinor space is introduced, and a uniqueness of such augmented spinor space of rank n is proved. It may be expected that this new notion of spaces can be used in mathematical physics and geometry.     

BRILL－NOETHER MATRIX FOR RANK TWO VECTOR BUNDLES

Lei X be an arbitrary smooth irreducible complex projective curve, E (?) X a rank two vector bundle generated by its sections. The author first represents E as a triple {D1,D2,f}, where D1 , D2 are two effective divisors with d = deg(D1) + deg(D2), and f ∈ H0(X, [D1] |D2) is a collection of polynomials. E is the extension of [D2] by [D1] which is determined by f. By using f and the Brill-Noether matrix of D1 + D2, the author constructs a 2g X d matrix WE whose zero space gives Im{H0(X,[D1]) (?) H0(X, [D1] |D1)}(?)Im{H0(X, E) (?) H0(X,[D2]) (?) H0(X,[D2] |D2)}. From this and H0(X,E) = H0(X, [D1]) (?) Im{H0(X, E) (?) H0(X, [D2])}, it is got in particular that dimH0(X, E) = deg(E) - rank(WE) + 2.     

紧矩阵量子群G的余表示与其对偶量子群(A)的关系

设 G=（A,△）为紧矩阵量子群,G为A的所有有限维光滑的、不可约余表示等价类的集合.本文通过（A,△）的一个余表示Vo构造了两个相互配对的集合,利用Hilbert C＊-模的理论证明它们分别为A和Baaj与Skandalis构造的量子群A,并且证明了对任意的α∈G,在A中都对应一个有限维投影算子Pα,满足 dim（α）=dim（pα）.