| 書目名稱 | Conjugate Direction Methods in Optimization | | 編輯 | Magnus Rudolph Hestenes | | 視頻video | http://file.papertrans.cn/236/235558/235558.mp4 | | 叢書名稱 | Stochastic Modelling and Applied Probability | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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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