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Optimization and Operations Research: Proceedings of a Conference held at Oberwolfach, July 27 - August 2, 1975 (Lecture Notes in Economics and Mathematical Systems) (English and German Edition): 117 - Softcover
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The variable metric algorithm is widely recognised as one of the most efficient ways of solving the following problem:- Locate x* a local minimum point n ( 1) of f(x) x E R Considerable attention has been given to the study of the convergence prop- ties of this algorithm especially for the case where analytic expressions are avai- ble for the derivatives g. = af/ax. i 1 ••• n • (2) ~ ~ In particular we shall mention the results of Wolfe (1969) and Powell (1972), (1975). Wolfe established general conditions under which a descent algorithm will converge to a stationary point and Powell showed that two particular very efficient algorithms that cannot be shown to satisfy \,olfe's conditions do in fact converge to the minimum of convex functions under certain conditions. These results will be st- ed more completely in Section 2. In most practical problems analytic expressions for the gradient vector g (Equ. 2) are not available and numerical derivatives are subject to truncation error. In Section 3 we shall consider the effects of these errors on Wolfe's convergent prop- ties and will discuss possible modifications of the algorithms to make them reliable in these circumstances. The effects of rounding error are considered in Section 4, whilst in Section 5 these thoughts are extended to include the case of on-line fu- tion minimisation where each function evaluation is subject to random noise.
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The variable metric algorithm is widely recognised as one of the most efficient ways of solving the following problem:- Locate x* a local minimum point n ( 1) of f(x) x E R Considerable attention has been given to the study of the convergence prop- ties of this algorithm especially for the case where analytic expressions are avai- ble for the derivatives g. = af/ax. i 1 ··· n · (2) ~ ~ In particular we shall mention the results of Wolfe (1969) and Powell (1972), (1975). Wolfe established general conditions under which a descent algorithm will converge to a stationary point and Powell showed that two particular very efficient algorithms that cannot be shown to satisfy \,olfe's conditions do in fact converge to the minimum of convex functions under certain conditions. These results will be st- ed more completely in Section 2. In most practical problems analytic expressions for the gradient vector g (Equ. 2) are not available and numerical derivatives are subject to truncation error. In Section 3 we shall consider the effects of these errors on Wolfe's convergent prop- ties and will discuss possible modifications of the algorithms to make them reliable in these circumstances. The effects of rounding error are considered in Section 4, whilst in Section 5 these thoughts are extended to include the case of on-line fu- tion minimisation where each function evaluation is subject to random noise.
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Optimization and Operations Research: Proceedings of a Conference held at Oberwolfach, July 27 - August 2, 1975 (Lecture Notes in Economics and Mathematical Systems)
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Taschenbuch. Zustand: Gut. nice book ex Library Sprache: Englisch Gewicht in Gramm: 550 Auflage: Softcover reprint of the original 1st ed. 1976. Bestandsnummer des Verkäufers 338640
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Optimization and Operations Research
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The variable metric algorithm is widely recognised as one of the most efficient ways of solving the following problem:- Locate x* a local minimum point n ( 1) of f(x) x E R Considerable attention has been given to the study of the convergence prop- ties of . Bestandsnummer des Verkäufers 4879676
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Optimization and Operations Research
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The variable metric algorithm is widely recognised as one of the most efficient ways of solving the following problem:- Locate x\* a local minimum point n ( 1) of f(x) x E R Considerable attention has been given to the study of the convergence prop- ties of this algorithm especially for the case where analytic expressions are avai- ble for the derivatives g. = af/ax. i 1 ¿¿¿ n ¿ (2) ~ ~ In particular we shall mention the results of Wolfe (1969) and Powell (1972), (1975). Wolfe established general conditions under which a descent algorithm will converge to a stationary point and Powell showed that two particular very efficient algorithms that cannot be shown to satisfy ,olfe's conditions do in fact converge to the minimum of convex functions under certain conditions. These results will be st- ed more completely in Section 2. In most practical problems analytic expressions for the gradient vector g (Equ. 2) are not available and numerical derivatives are subject to truncation error. In Section 3 we shall consider the effects of these errors on Wolfe's convergent prop- ties and will discuss possible modifications of the algorithms to make them reliable in these circumstances. The effects of rounding error are considered in Section 4, whilst in Section 5 these thoughts are extended to include the case of on-line fu- tion minimisation where each function evaluation is subject to random noise.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 328 pp. Englisch. Bestandsnummer des Verkäufers 9783540076162
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Optimization and Operations Research : Proceedings of a Conference Held at Oberwolfach, July 27¿August 2, 1975
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The variable metric algorithm is widely recognised as one of the most efficient ways of solving the following problem:- Locate x\* a local minimum point n ( 1) of f(x) x E R Considerable attention has been given to the study of the convergence prop- ties of this algorithm especially for the case where analytic expressions are avai- ble for the derivatives g. = af/ax. i 1 --- n - (2) ~ ~ In particular we shall mention the results of Wolfe (1969) and Powell (1972), (1975). Wolfe established general conditions under which a descent algorithm will converge to a stationary point and Powell showed that two particular very efficient algorithms that cannot be shown to satisfy ,olfe's conditions do in fact converge to the minimum of convex functions under certain conditions. These results will be st- ed more completely in Section 2. In most practical problems analytic expressions for the gradient vector g (Equ. 2) are not available and numerical derivatives are subject to truncation error. In Section 3 we shall consider the effects of these errors on Wolfe's convergent prop- ties and will discuss possible modifications of the algorithms to make them reliable in these circumstances. The effects of rounding error are considered in Section 4, whilst in Section 5 these thoughts are extended to include the case of on-line fu- tion minimisation where each function evaluation is subject to random noise. Bestandsnummer des Verkäufers 9783540076162
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Optimization and Operations Research: Proceedings of a Conference Held at Oberwolfach, July 27-August 2, 1975 (Lecture Notes in Economics and Mathematical Systems, 117)
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Optimization and Operations Research
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Zustand: New. PRINT ON DEMAND pp. 328. Bestandsnummer des Verkäufers 18358873067
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Optimization and Operations Research
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Optimization and Operations Research
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Springer Berlin Heidelberg Feb 1976, 1976
ISBN 10: 3540076166
ISBN 13: 9783540076162
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The variable metric algorithm is widely recognised as one of the most efficient ways of solving the following problem:- Locate x\* a local minimum point n ( 1) of f(x) x E R Considerable attention has been given to the study of the convergence prop- ties of this algorithm especially for the case where analytic expressions are avai- ble for the derivatives g. = af/ax. i 1 --- n - (2) ~ ~ In particular we shall mention the results of Wolfe (1969) and Powell (1972), (1975). Wolfe established general conditions under which a descent algorithm will converge to a stationary point and Powell showed that two particular very efficient algorithms that cannot be shown to satisfy ,olfe's conditions do in fact converge to the minimum of convex functions under certain conditions. These results will be st- ed more completely in Section 2. In most practical problems analytic expressions for the gradient vector g (Equ. 2) are not available and numerical derivatives are subject to truncation error. In Section 3 we shall consider the effects of these errors on Wolfe's convergent prop- ties and will discuss possible modifications of the algorithms to make them reliable in these circumstances. The effects of rounding error are considered in Section 4, whilst in Section 5 these thoughts are extended to include the case of on-line fu- tion minimisation where each function evaluation is subject to random noise. 328 pp. Englisch, Deutsch. Bestandsnummer des Verkäufers 9783540076162
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Optimization and Operations Research
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Zustand: New. Print on Demand pp. 328 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam. Bestandsnummer des Verkäufers 353650750
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Optimization and Operations Research: Proceedings of a Conference held at Oberwolfach, July 27 - August 2, 1975 (Lecture Notes in Economics and Mathematical Systems) (English and German Edition)
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Paperback. Zustand: Brand New. rep blg edition. 328 pages. German language. 9.60x6.69x0.74 inches. In Stock. Bestandsnummer des Verkäufers x-3540076166
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