线性代数中的形式问题

J. Nash
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引用次数: 0

摘要

在科学和工程领域的许多实际问题产生了涉及矩阵的模型或对现实的描述。因此,数值数学的文献中有很大一部分是关于各种矩阵方程的解的。在下面的章节中,将介绍数值线性代数中的主要形式问题。包括一些例子来说明这些问题如何在实践中直接出现。然而,在大多数情况下,形式化问题将作为更大、更困难的计算中的步骤出现。事实上,数值线性代数算法是解决实际问题的数值方法的基石。矩阵计算已经成为数学和计算研究的一个大领域。关于这个主题的教科书,如Stewart(1973)和Strang(1976),为理解矩阵和向量的使用和操作提供了有用的基础。更高级的作品详细介绍了特定情况下的定理和算法。Golub和Van Loan(1983)是一本重要的参考资料集。Kahaner, Moler和Nash(1989)包含了对数值线性代数的非常可读的处理。
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Formal Problems in Linear Algebra
A great many practical problems in the scientific and engineering world give rise to models or descriptions of reality which involve matrices. In consequence, a very large proportion of the literature of numerical mathematics is devoted to the solution of various matrix equations. In the following sections, the major formal problems in numerical linear algebra will be introduced. Some examples are included to show how these problems may arise directly in practice. However, the formal problems will in most cases occur as steps in larger, more difficult computations. In fact, the algorithms of numerical linear algebra are the keystones of numerical methods for solving real problems. Matrix computations have become a large area for mathematical and computational research. Textbooks on this subject, such as Stewart (1973) and Strang (1976), offer a foundation useful for understanding the uses and manipulations of matrices and vectors. More advanced works detail the theorems and algorithms for particular situations. An important collection of well-referenced material is Golub and Van Loan (1983). Kahaner, Moler and Nash (1989) contains a very readable treatment of numerical linear algebra.
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