| 书目名称 | Scientific Data Analysis | | 副标题 | An Introduction to O | | 编辑 | Richard L. Branham | | 视频video | | | 图书封面 |  | | 描述 | This monograph is concerned with overdetermined systems, inconsistent systems with more equations than unknowns, in scientific data reduction. It is not a text on statistics, numerical methods, or matrix cOmputations, although elements of all three, especially the latter, enter into the discussion. The reader I have in mind is a scientist or engineer who has gathered data that he or she wants to model by a mathematical system, perhaps linear, perhaps nonlinear, and solve to obtain the best estimates, in some sense of the term "best," of various parameters. Because the calculations will be performed on a digital computer, the first chapter discusses floating-point numbers and their effect on mathematical operations. The chapter ends with some methods for accurately summing floating-point numbers, an operation frequently required in numerical work and one often done by the worst possible method, recursive summation. Chapter 2 gives a brief review of linear algebra and includes vector and matrix norms and condition numbers of matrices and linear systems. ‘ Chapter 3 presents some ideas for manipulating sparse matrices. Frequently, time or memory can be saved by use of sparse matrix te | | 出版日期 | Textbook 1990 | | 关键词 | Mathematica; Variance; algorithms; computation; correlation; data analysis; linear optimization; programmin | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-3362-6 | | isbn_softcover | 978-1-4612-7981-5 | | isbn_ebook | 978-1-4612-3362-6 | | copyright | Springer-Verlag New York Inc. 1990 |
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发表于 2025-3-21 19:07:55
