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  • 1
    Electronic Resource
    Electronic Resource
    Woodbury, NY : American Institute of Physics (AIP)
    Applied Physics Letters 74 (1999), S. 1877-1879 
    ISSN: 1077-3118
    Source: AIP Digital Archive
    Topics: Physics
    Notes: A method for a controlled change of the doping level of high-temperature superconductors with ultraviolet radiation is presented. With photoemission it is shown that the exposure of Bi2Sr2CaCu2O8+δ samples to the light of a He gas-discharge lamp causes oxygen desorption. From measurements of the Fermi surface, it is found that the oxygen desorption causes a decrease of the doping level of the superconductors. From the desorption cross sections that strongly depend on the photon energy, two different oxygen desorption channels are inferred. This procedure for decreasing the doping level has the advantage that the crystallinity of the sample is not altered and that the doping level can be simultaneously measured by photoelectron spectroscopy. © 1999 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Journal of Chromatography A 498 (1990), S. 257-280 
    ISSN: 0021-9673
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 3
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    Unknown
    Firenze : Periodicals Archive Online (PAO)
    Il Pensiero politico. 3:2 (1970) 177 
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Computing 57 (1996), S. 323-343 
    ISSN: 1436-5057
    Keywords: 65K05 ; Global optimization ; interval arithmetic ; branch and bound principle ; best-first strategy ; multisection
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Description / Table of Contents: Zusammenfassung Wir untersuchen den Einfluß verschiedener Strategien zur Auswahl der als nächstes zu teilenden Box in einem Branch-und-Bound-Verfahren zur globalen Optimierung. Ein theoretisches Resultat zeigt die Optimalität einer ‘best-first’-Strategie. Außerdem definieren wir einen Multisektions-Algorithmus zum Teilen von Boxen. Verschiedene Möglichkeiten für die Wahl der Halbierungsrichtungen und die Anzahl der Halbierungen werden anhand numerischer Ergebnisse verglichen, wobei deutlich wird, daß Multisektion der Bisektion immer überlegen ist. Zusätzlich identifizieren wir zwei wesentliche Eigenschaften für Teilungsstrategien, die zur Konvergenz von Algorithmen mit Multisektion führen.
    Notes: Abstract We study the influence of different strategies for selecting the next box for subdivision in an interval branch and bound method for global optimization. A theoretical result establishes the optimality of a ‘best-first’ strategy. Moreover, we define a multisection algorithm for subdivision of boxes. Different possibilities for the choice of bisection directions and the number of bisections are compared by numerical results showing that multisection is usually superior to bisection. In addition, we identify crucial properties of a division strategy which yield convergence of an algorithm with multisection.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Cellular and molecular life sciences 50 (1994), S. 793-794 
    ISSN: 1420-9071
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 90 (1999), S. 271-291 
    ISSN: 1572-9338
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract A chemical mixture under conditions of constant temperature and pressure may split intodifferent phases. The number of phases and the composition of each may be determined byglobally minimizing the Gibbs free energy of the system. This can be done by iteratingbetween an easy local minimization problem with a high number of variables and a difficultglobal search and verification problem in a small number of variables. The global problemcan be solved by a branch and bound method, using bounds from interval analysis. Whenimplemented in parallel, the method has lower communication requirements than otherrelated branch and bound approaches for general global minimization. We present a parallelimplementation on a network cluster of workstations that exploits this characteristic. Ondifficult instances, utilizations of over 90% are obtained using up to 14 processors. Thealgorithm copes well with varying workstation loads and has low communication overheads.A method of assessing the performance of a parallel algorithm on a shared heterogeneousnetwork of workstations is developed.
    Type of Medium: Electronic Resource
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