Supremum

Results: 19



#Item
1Composition 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
2Mapping Ecosystem Services’ Values: Current Practice and Future Prospects Jan Philipp Schägnera, Luke Brander b, Joachim Maesa, Volkmar Hartjed  a. Institute for Environment and Sustainability (IES), Joint Research

Mapping Ecosystem Services’ Values: Current Practice and Future Prospects Jan Philipp Schägnera, Luke Brander b, Joachim Maesa, Volkmar Hartjed a. Institute for Environment and Sustainability (IES), Joint Research

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Source URL: www.landschaftsoekonomie.tu-berlin.de

Language: English - Date: 2013-04-02 08:54:27
3Building Excitement and Success for Young Children  September 2012 Kessler Elementary School Ms. Debbie Morgan, Principal

Building Excitement and Success for Young Children September 2012 Kessler Elementary School Ms. Debbie Morgan, Principal

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Source URL: www.longview.k12.wa.us

Language: English - Date: 2012-09-27 16:03:21
4Suprema of L´ evy processes Jacek Malecki Wroclaw University We study the supremum functional Mt = sup0≤s≤t Xs , where Xt , t ≥ 0, is a one-dimensional L´evy process. Under very mild assumptions we provide a simp

Suprema of L´ evy processes Jacek Malecki Wroclaw University We study the supremum functional Mt = sup0≤s≤t Xs , where Xt , t ≥ 0, is a one-dimensional L´evy process. Under very mild assumptions we provide a simp

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Source URL: icsaa.iam.uni-bonn.de

- Date: 2012-11-26 04:39:27
    5Tail Asymptotics for the Supremum of a Random Walk when the Mean Is Not Finite1 DENIS DENISOV  SERGUEI FOSS

    Tail Asymptotics for the Supremum of a Random Walk when the Mean Is Not Finite1 DENIS DENISOV SERGUEI FOSS

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    Source URL: www.math.nsc.ru

    Language: English - Date: 2007-09-18 11:07:36
      6Advanced Program Analyses for Object-oriented Systems Dr. Barbara G. Ryder Rutgers University http://www.cs.rutgers.edu/~ryder http://prolangs.rutgers.edu/

      Advanced Program Analyses for Object-oriented Systems Dr. Barbara G. Ryder Rutgers University http://www.cs.rutgers.edu/~ryder http://prolangs.rutgers.edu/

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      Source URL: people.cs.vt.edu

      Language: English - Date: 2007-12-23 13:13:59
      7Supremum–Norm Convergence for Step–Asynchronous Successive Overrelaxation on M-matrices Sebastiano Vigna April 13, 2014

      Supremum–Norm Convergence for Step–Asynchronous Successive Overrelaxation on M-matrices Sebastiano Vigna April 13, 2014

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      Source URL: vigna.di.unimi.it

      Language: English - Date: 2014-04-12 18:19:46
      89th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability  PMC2004 COMPUTATION OF UPPER AND LOWER BOUNDS IN LIMIT ANALYSIS USING SECOND-ORDER CONE PROGRAMMING AND MESH ADAPTIVITY

      9th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability PMC2004 COMPUTATION OF UPPER AND LOWER BOUNDS IN LIMIT ANALYSIS USING SECOND-ORDER CONE PROGRAMMING AND MESH ADAPTIVITY

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      Source URL: raphael.mit.edu

      Language: English - Date: 2005-08-31 10:34:50
      9Course Notes for Math 320: Fundamentals of Mathematics Analysis. May 4, [removed]

      Course Notes for Math 320: Fundamentals of Mathematics Analysis. May 4, [removed]

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      Source URL: www.csun.edu

      Language: English - Date: 2006-05-04 16:33:52
      102001 Paper 1 Question 8  Discrete Mathematics Let (A, 6A ) and (B, 6B ) be partially ordered sets. (a) Define the product order on A×B and prove that it is a partial order. [4 marks]

      2001 Paper 1 Question 8 Discrete Mathematics Let (A, 6A ) and (B, 6B ) be partially ordered sets. (a) Define the product order on A×B and prove that it is a partial order. [4 marks]

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      Source URL: www.cl.cam.ac.uk

      Language: English - Date: 2014-06-09 10:17:39