| 书目名称 | Conjugate Direction Methods in Optimization | | 编辑 | Magnus Rudolph Hestenes | | 视频video | | | 丛书名称 | Stochastic Modelling and Applied Probability | | 图书封面 |  | | 描述 | Shortly after the end of World War II high-speed digital computing machines were being developed. It was clear that the mathematical aspects of com putation needed to be reexamined in order to make efficient use of high-speed digital computers for mathematical computations. Accordingly, under the leadership of Min a Rees, John Curtiss, and others, an Institute for Numerical Analysis was set up at the University of California at Los Angeles under the sponsorship of the National Bureau of Standards. A similar institute was formed at the National Bureau of Standards in Washington, D. C. In 1949 J. Barkeley Rosser became Director of the group at UCLA for a period of two years. During this period we organized a seminar on the study of solu tions of simultaneous linear equations and on the determination of eigen values. G. Forsythe, W. Karush, C. Lanczos, T. Motzkin, L. J. Paige, and others attended this seminar. We discovered, for example, that even Gaus sian elimination was not well understood from a machine point of view and that no effective machine oriented elimination algorithm had been developed. During this period Lanczos developed his three-term relationship and I had the go | | 出版日期 | Book 1980 | | 关键词 | Mathematica; Methode der konjugierten Richtungen; algorithms; numerical analysis; optimization | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-6048-6 | | isbn_softcover | 978-1-4612-6050-9 | | isbn_ebook | 978-1-4612-6048-6Series ISSN 0172-4568 Series E-ISSN 2197-439X | | issn_series | 0172-4568 | | copyright | Springer Science+Business Media New York 1980 |
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发表于 2025-3-21 19:15:15
