Problems involving linear algebra arise in many contexts of scientific computation, either directly or through the replacement of continuous systems by discrete approximations. This introduction covers the practice of matrix algebra and manipulation, and the theory and practice of direct and
iterative methods for solving linear simultaneous algebraic equations, inverting matrices, and determining the latent roots and vectors of matrices. Special attention is given to the important problem of error analysis and numerous examples illustrate the procedures recommended in various
circumstances. The emphasis is on the reasons for selecting particular numerical methods rather than on programming or coding.
瓊斯(Vaughan Jones)從瑞德麥斯特的觀念出發,提出了一個非常簡單、任何人都可能想到的想法。瓊斯不是紐結理論專家,他甚至也不是拓樸學家。他是一個分析學家,從事算子代數(operator algebras)的相關工作,這個領域和數學物理的連結很深。
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Statistical Inference
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Mathematics with Applications for the Management, Life, and Social Sciences
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