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Conjugate Direction Methods in Optimization (Stochastic Modelling and Applied Probability)
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Conjugate Direction Methods in Optimization (Stochastic Modelling and Applied Probability) - gebrauchtes Buch

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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 simil 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 good fortune of suggesting the method of conjugate gradients. We dis­ covered afterward that the basic ideas underlying the two procedures are essentially the same. The concept of conjugacy was not new to me. In a joint paper with G. D., [PU: Springer]

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Conjugate Direction Methods in Optimization - M. R. Hestenes
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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 good fortune of suggesting the method of conjugate gradients. We dis- covered afterward that the basic ideas underlying the two procedures are essentially the same. The concept of conjugacy was not new to me. In a joint paper with G. D. Conjugate Direction Methods in Optimization Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 18.03.1980, Springer, .198

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Conjugate Direction Methods in Optimization 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 good fortune of suggesting the method of conjugate gradients. We dis- covered afterward that the basic ideas underlying the two procedures are essentially the same. The concept of conjugacy was not new to me. In a joint paper with G. D. Bücher / Fremdsprachige Bücher / Englische Bücher 978-0-387-90455-9, Springer

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Conjugate Direction Methods in Optimization - M. R. Hestenes
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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 good fortune of suggesting the method of conjugate gradients. We dis- covered afterward that the basic ideas underlying the two procedures are essentially the same. The concept of conjugacy was not new to me. In a joint paper with G. D. Conjugate Direction Methods in Optimization Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Conjugate Direction Methods in Optimization (Applications of Mathematics). - Hestenes, M. and Magnus Rudolph Hestenes
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Springer, Berlin, 336 Seiten. Hardcover. *Ausgeschiedene Bibliotheksdublette, Vorsatz bzw. Titel mehrfach gestempelt. Rücken mit Bibliotheksaufkleber. Ansonsten sauber und gut erhalten. - Ex library copy. Several stamps on title and endpaper, library label on spine. Inside in good condition. ISBN 9780387904559Natwiss - Mathematik 1980, [PU: Springer]

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Details zum Buch
Conjugate Direction Methods in Optimization
Autor:

Hestenes, M.; Hestenes, Magnus Rudolph

Titel:

Conjugate Direction Methods in Optimization

ISBN-Nummer:

Detailangaben zum Buch - Conjugate Direction Methods in Optimization


EAN (ISBN-13): 9780387904559
ISBN (ISBN-10): 0387904557
Gebundene Ausgabe
Erscheinungsjahr: 1980
Herausgeber: SPRINGER VERLAG GMBH
325 Seiten
Gewicht: 0,644 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 14.04.2007 02:06:53
Buch zuletzt gefunden am 13.04.2017 05:45:46
ISBN/EAN: 9780387904559

ISBN - alternative Schreibweisen:
0-387-90455-7, 978-0-387-90455-9


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