Time consistency

Results: 79



#Item
1Checking Consistency of Real-Time Requirements on Distributed Automotive Control Software Early in the Development Process using UPPAAL Jan Toennemann1 , Andreas Rausch1 , Falk Howar2 , and Benjamin Cool3 1

Checking Consistency of Real-Time Requirements on Distributed Automotive Control Software Early in the Development Process using UPPAAL Jan Toennemann1 , Andreas Rausch1 , Falk Howar2 , and Benjamin Cool3 1

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Source URL: www.falkhowar.de

Language: English - Date: 2018-09-30 08:43:02
2PPSsol411.tex  Preliminary–comments welcome Time Consistency of Fiscal and Monetary Policy: A Solution∗

PPSsol411.tex Preliminary–comments welcome Time Consistency of Fiscal and Monetary Policy: A Solution∗

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Source URL: perseus.iies.su.se

Language: English - Date: 2004-12-16 08:21:13
    3Consistency Conditions for Beliefs and Intentions Marc van Zee, Mehdi Dastani, Dragan Doder, and Leendert van der Torre Abstract Icard et al. introduce a semantics for actions over time, provide an axiomatization for thi

    Consistency Conditions for Beliefs and Intentions Marc van Zee, Mehdi Dastani, Dragan Doder, and Leendert van der Torre Abstract Icard et al. introduce a semantics for actions over time, provide an axiomatization for thi

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    Source URL: www.marcvanzee.nl

    - Date: 2015-10-13 11:22:58
      4A Lightweight Approach to Start Time Consistency in Haskell Wolfgang

      A Lightweight Approach to Start Time Consistency in Haskell Wolfgang

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      Source URL: cs.ioc.ee

      - Date: 2012-02-10 06:30:10
        5Composition of Time-Consistent Dynamic Monetary Risk Measures in Discrete Time∗ Patrick Cheridito† Michael Kupper‡

        Composition of Time-Consistent Dynamic Monetary Risk Measures in Discrete Time∗ Patrick Cheridito† Michael Kupper‡

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        Source URL: www.princeton.edu

        Language: English - Date: 2013-09-09 16:09:56
        6Trading-off Data Consistency for Timeliness in Real-Time Database Systems Simin Cai, Barbara Gallina, Dag Nyström, Cristina Seceleanu Mälardalen Real-Time Research Centre, Mälardalen University, Västerås, Sweden {si

        Trading-off Data Consistency for Timeliness in Real-Time Database Systems Simin Cai, Barbara Gallina, Dag Nyström, Cristina Seceleanu Mälardalen Real-Time Research Centre, Mälardalen University, Västerås, Sweden {si

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        Source URL: www.control.lth.se

        Language: English - Date: 2015-07-09 03:36:06
        7Vergleich von Nano- vs Millisekunde 1 Nanosekunde (ns) = 1000 Pikosekunden = 0,Sekunden 1 Mikrosekunde (μs) = 1000 Nanosekunden = 0,Sekunden 1 Millisekunde (ms) = 1000 Mikrosekunden = 0,001 Sekunden

        Vergleich von Nano- vs Millisekunde 1 Nanosekunde (ns) = 1000 Pikosekunden = 0,Sekunden 1 Mikrosekunde (μs) = 1000 Nanosekunden = 0,Sekunden 1 Millisekunde (ms) = 1000 Mikrosekunden = 0,001 Sekunden

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        Source URL: www.dbis.cs.uni-frankfurt.de

        Language: English - Date: 2016-01-28 04:35:36
        8Instanton Representation of Plebanski Gravity. Consistency of the Initial Value Constraints under Time Evolution Eyo Eyo Ita III∗ Abstract: The instanton representation of Plebanski gravity provides as equations of mot

        Instanton Representation of Plebanski Gravity. Consistency of the Initial Value Constraints under Time Evolution Eyo Eyo Ita III∗ Abstract: The instanton representation of Plebanski gravity provides as equations of mot

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        Source URL: zelmanov.fr

        Language: English - Date: 2011-09-14 10:34:31
          9Instanton Representation of Plebanski Gravity. Consistency of the Initial Value Constraints under Time Evolution Eyo Eyo Ita III∗ Abstract: The instanton representation of Plebanski gravity provides as equations of mot

          Instanton Representation of Plebanski Gravity. Consistency of the Initial Value Constraints under Time Evolution Eyo Eyo Ita III∗ Abstract: The instanton representation of Plebanski gravity provides as equations of mot

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          Source URL: zelmanov.org

          Language: English - Date: 2011-09-14 10:34:31
            10Introduction to Time Series Analysis. LectureReview: The periodogram, the smoothed periodogram. 2. Other smoothed spectral estimators. 3. Consistency. 4. Asymptotic distribution.

            Introduction to Time Series Analysis. LectureReview: The periodogram, the smoothed periodogram. 2. Other smoothed spectral estimators. 3. Consistency. 4. Asymptotic distribution.

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            Source URL: www.stat.berkeley.edu

            Language: English - Date: 2010-11-19 17:38:49