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  • 1
    Electronic Resource
    Electronic Resource
    Three Assistants on Boltzmann (1999)
    Springer
    Synthese 〈Dordrecht〉 119 (1999), S. 69-84 
    Details
    ISSN: 1573-0964
    Source: Springer Online Journal Archives 1860-2000
    Topics: Natural Sciences in General , Philosophy
    Notes: Abstract The three demi-articles presented here would give a brief biographical account of Ludwig Boltzmann’s life plus some details about his Vienna laboratories first in the 1860’s in the Erdberg and second in Türkenstrasse from 1894. Josef Nabl’s account discusses J. J. Thomson’s Laboratory in Cambridge, which allows a provisional comparison between two different largely contemporary institutes. Nabl’s second letter also mentions Lord Kelvin’s late rejection of the kinetic gas theory of Maxwell and Boltzmann, rejection which on top of the negative attitude of Mach, Zermelo, and Poincaré probably did not benefit Boltzmann’s state of mind and may have contributed to the extreme character of Boltzmann’s anti-philosophical counterattack starting in 1903.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1005239104047
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  • 2
    Electronic Resource
    Electronic Resource
    Individual customer’s behaviour in networks with state-dependent arrival rates (1999)
    Springer
    Queueing systems 32 (1999), S. 351-362 
    Details
    ISSN: 1572-9443
    Keywords: steady-states ; arrival theorem ; joint sojourn times vector ; end-to-end-delay ; state-dependent queues ; admission control
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We consider Jackson networks with state-dependent arrival and service rates which show product form or nearly product form steady-states and come up with examples of load-dependent admission control. For these networks we prove an arrival theorem for external as well as for internal arrivals. In case of open tandem systems with state-independent service rates we compute the joint distribution of the sojourn times of a customer in the nodes and the distribution of the customer’s end-to-end-delay.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1019103507843
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