Optimization Mathematical Physics (30 results)

kart. Condition: Gut. 199 S. ; m. zahlr. Abbildungen, 21 cm, Guter Zustand / good condition. Bibl.-Ex. / Ex.-library. Papier leicht vergilbt. Sprache: Englisch Gewicht in Gramm: 475.

kart. Condition: Gut. 194 S. : with numerous figures, 21 cm, Für Bibliotheksexemplar sehr guter Zustand / As library-copy in very good co condition. Bibl.-Ex. / Ex.-library. Sprache: Englisch Gewicht in Gramm: 465.

Hardcover. Condition: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 49 PON 9780521231558 Sprache: Englisch Gewicht in Gramm: 550.…

Hardcover. Condition: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 49 PON 9780521231558 Sprache: Englisch Gewicht in Gramm: 550.…

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Condition: New. pp. 324.

Condition: New. An introduction to a special class of hierarchical systems of optimal control, where subsystems are described by partial differential equations of various types. It is of interest to specialists in operations research, optimization, optimal control, and mathematical physics. Series: Applied Optimization. Num Pages: 320 pages, biography. BIC Classification: PBWR; PDE; PH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 19. Weight in Grams: 1390. . 2000. Hardback. . . . . …

Condition: New. pp. 324.

Paperback. Condition: Brand New. reprint edition. 320 pages. 9.25x6.10x0.73 inches. In Stock.

Taschenbuch. Condition: Neu. Hierarchical Optimization and Mathematical Physics | Vladimir Tsurkov | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2013 | Springer Nature B.V. | EAN 9781461371120 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu. …

Condition: New. An introduction to a special class of hierarchical systems of optimal control, where subsystems are described by partial differential equations of various types. It is of interest to specialists in operations research, optimization, optimal control, and mathematical physics. Series: Applied Optimization. Num Pages: 320 pages, biography. BIC Classification: PBWR; PDE; PH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 19. Weight in Grams: 1390. . 2000. Hardback. . . . . Books ship from the US and Ireland. …

Condition: New. This book should be considered as an introduction to a special dass of hierarchical systems of optimal control, where subsystems are described by partial differential equations of various types. Optimization is carried out by means of a two-level scheme, wh.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book should be considered as an introduction to a special dass of hierarchical systems of optimal control, where subsystems are described by partial differential equations of various types. Optimization is carried out by means of a two-level scheme, where the center optimizes coordination for the upper level and subsystems find the optimal solutions for independent local problems. The main algorithm is a method of iterative aggregation. The coordinator solves the problern with macrovariables, whose number is less than the number of initial variables. This problern is often very simple. On the lower level, we have the usual optimal control problems of math ematical physics, which are far simpler than the initial statements. Thus, the decomposition (or reduction to problems ofless dimensions) is obtained. The algorithm constructs a sequence of so-called disaggregated solutions that are feasible for the main problern and converge to its optimal solutionunder certain assumptions ( e.g., under strict convexity of the input functions). Thus, we bridge the gap between two disciplines: optimization theory of large-scale systems and mathematical physics. The first motivation was a special model of branch planning, where the final product obeys a preset assortment relation. The ratio coefficient is maximized. Constraints are given in the form of linear inequalities with block diagonal structure of the part of a matrix that corresponds to subsystems. The central coordinator assem bles the final production from the components produced by the subsystems.…

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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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hardcover. Condition: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.

paperback. Condition: Very Good. Very Good .Ships From Multiple Locations. book.

Hardcover. Condition: Very Good. s.l.: s.n. xxi, 897; xviii, 467; xv, 469-1202; xxii, 662; xxiii, 975 pp. Complete 5 volume set. Coated paper covered boards with black, silver, or white lettering to covers and spines. No publisher, location, or publication date listed, so this is presumably an Asian printing. Very slight bumping to spine ends and corners of boards. Some very light soil to covers and head of text blocks. Misprint to spine of Volume II/B, which was printed as IV, with some dried adhesive where a corrected label was once in place over the misprint. Some light foxing to endpapers of volumes I and II/A. Interiors all clean and unmarked. Bindings all firm. Due to the size and weight of this set, additional shipping may be required for international orders. . Hard Cover. Very Good.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book should be considered as an introduction to a special dass of hierarchical systems of optimal control, where subsystems are described by partial differential equations of various types. Optimization is carried out by means of a two-level scheme, where the center optimizes coordination for the upper level and subsystems find the optimal solutions for independent local problems. The main algorithm is a method of iterative aggregation. The coordinator solves the problern with macrovariables, whose number is less than the number of initial variables. This problern is often very simple. On the lower level, we have the usual optimal control problems of math ematical physics, which are far simpler than the initial statements. Thus, the decomposition (or reduction to problems ofless dimensions) is obtained. The algorithm constructs a sequence of so-called disaggregated solutions that are feasible for the main problern and converge to its optimal solutionunder certain assumptions ( e.g., under strict convexity of the input functions). Thus, we bridge the gap between two disciplines: optimization theory of large-scale systems and mathematical physics. The first motivation was a special model of branch planning, where the final product obeys a preset assortment relation. The ratio coefficient is maximized. Constraints are given in the form of linear inequalities with block diagonal structure of the part of a matrix that corresponds to subsystems. The central coordinator assem bles the final production from the components produced by the subsystems. 324 pp. Englisch. …

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book should be considered as an introduction to a special dass of hierarchical systems of optimal control, where subsystems are described by partial differential equations of various types. Optimization is carried out by means of a two-level scheme, wh.…

Condition: New. Print on Demand pp. 324 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Condition: New. Print on Demand pp. 324 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 324.

Condition: New. PRINT ON DEMAND pp. 324.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. QMC calculations crucially depend on the quality of the trial-function, and so it is essential to have an optimized wave-function as close as possible to the ground state. The problem of function optimization is a very important research topic in numerical simulation. In QMC, in addition to the usual difficulties to find the minimum of multidimensional parametric function, the statistical noise is present in the estimate of the cost function (usually the energy), and its derivatives, required for an efficient optimization.Different cost functions and different strategies were used to optimize a many-body trial-function. Usually three cost functions were used in QMC optimization energy, variance or a linear combination of them. The variance optimization method has the advantage that the exact wavefunction's variance is known. (Because the exact wavefunction is an eigenfunction of the Hamiltonian, the variance of the local energy is zero).…