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  2. 18 Heavy traffic on a controlled motorway F. P. ...

    www.statslab.cam.ac.uk/~frank/PAPERS/KingFest/kwroad.pdf
    24 Feb 2010: remaining work requirement of not more than x. Then, N sx/Ns G(x). ... also when this would cause an upstream entry point to obtain more than.
  3. oheads_lectures.dvi

    www.statslab.cam.ac.uk/~rrw1/opt/oheads_lectures.pdf
    28 Apr 2010: n, which can be reached in just one pivotfrom x1 = = xn1 = xn = 0 by pivoting in thecolumn with the smallest entry in the bottom row! ... requirements byskill categories to meet the overall force structure (anLP with 21,000 constraints and 43,000
  4. ks_nov99.dvi

    www.statslab.cam.ac.uk/~frank/AUCTION/auction.pdf
    4 Nov 1999: where:. Stage 1 is a simultaneous, multiple-round auction, conducted in three substages,with progressive eligibility requirements and an improvement margin requirement,with bidders submitting bids on individual properties; and. ... Stage 2 is a
  5. Noname manuscript No.(will be inserted by the editor) Resource ...

    www.statslab.cam.ac.uk/~frank/PAPERS/ERLANG/kmwV3.pdf
    21 Oct 2009: 5. of the matrix A, corresponding to resource requirements at pooled resources,may be non-integral. ... jk}. Once a customer has completed its service requirement at allqueues it leaves the network.
  6. oheads_lectures.dvi

    www.statslab.cam.ac.uk/~rrw1/opt/oheads_lectures4up.pdf
    28 Apr 2010: n, which can be reached in just one pivotfrom x1 = = xn1 = xn = 0 by pivoting in thecolumn with the smallest entry in the bottom row! ... requirements byskill categories to meet the overall force structure (anLP with 21,000 constraints and 43,000
  7. Adaptive estimation of a distribution function and its density in…

    www.statslab.cam.ac.uk/~nickl/Site/__files/BEJ239.pdf
    19 Nov 2010: Formally, this can be doneby adding the requirement. suptR. t. pn(y, j ) dy Fn(t). ... It follows that A1 is also Toeplitzand we denote its entries by bkl = g(|k l|) for some function g.
  8. 15 Mar 2016: All entries in the last row are non-positive, so this solution is optimal. ... An IP is a linear program with the additional requirement thatvariables should be integral.
  9. MunWebWei06JoS_final.dvi

    www.statslab.cam.ac.uk/~rrw1/research/MunWebWei06JoS_final.pdf
    4 Apr 2007: The bold entries indicate downloads from the server; un-bold entriesindicate downloads from a peer who has the corresponding part. ... to less than 1; for example, the bottom two entriesin column 2 and the bottom entry in column 3 are 0 for n = M 2.
  10. potts2.dvi

    www.statslab.cam.ac.uk/~grg/papers/USpotts2.pdf
    15 Aug 2012: Above (1.7) we required that J1, J2 > 0, but actually this requirement may be weakenedto obtain an interesting conclusion. ... may contain multiple entries, since there may exist (e1, z1), (e2, z2) F suchthat e1 z1.τ (e1) = e2 z2.τ (e2).
  11. Probability About these notes. Many people have written excellent ...

    www.statslab.cam.ac.uk/~rrw1/prob/prob-weber.pdf
    16 Sep 2019: To obtain a consistent theory we must place requirements on F :. F1: F and F. F2: A F = Ac F. F3: A1,A2,. ... We also place requirements on P : it is to be a real-valued function defined on F whichsatisfies three axioms (known as the Kolmogorov axioms):.
  12. A Self-Organizing Bin Packing HeuristicJanos Csirik � David S. ...

    www.statslab.cam.ac.uk/~rrw1/publications/Csirik%20-%20Johnson%20-%20Kenyon%20-%20Shor%20-%20Weber%201999%20A%20self-organizing%20bin%20packing%20heuristic.pdf
    15 Sep 2011: sizes or numbers of additionalitems, a requirement in many applications.In this paper we concentrate on the average-case behavior of such algorithms. ... the h = 1 entries for BF, in particular those for j 2 f2; 3; 4;17;18g[CCG91, KRS98].) Overall the
  13. Bayesian Non-linear Statistical Inverse Problems

    www.statslab.cam.ac.uk/~nickl/Site/__files/FINALBOOKPDF.pdf
    16 Jan 2024: Z U R I C H L E C T U R E S I N A D V A N C E D M A T H E M A T I C S. Richard Nickl. Bayesian Non-linear Statistical Inverse Problems. Zurich Lectures in Advanced Mathematics. Edited by Habib Ammari, Alexander Gorodnik (Managing Editor), Urs Lang
  14. MunWebWei06JoS_2.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/Mundinger%20-%20Weber%20-%20Weiss%202008%20Optimal%20scheduling%20of%20peer-to-peer%20file%20dissemination.pdf
    15 Sep 2011: The bold entries indicate downloads from the server; un-bold entriesindicate downloads from a peer who has the corresponding part. ... to less than 1; for example, the bottom two entriesin column 2 and the bottom entry in column 3 are 0 for n = M 2.
  15. Mathematical Foundations of Infinite-Dimensional Statistical Models

    www.statslab.cam.ac.uk/~nickl/Site/__files/FULLPDF.pdf
    25 Feb 2020: Mathematical Foundations of Infinite-DimensionalStatistical Models. In nonparametric and high-dimensional statistical models, the classical Gauss–Fisher–Le Cam theory of the optimality of maximum likelihood and Bayesianposterior inference does
  16. jacm.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/Csirik%20-%20Johnson%20-%20Kenyon%20-%20Orlin%20-%20Shor%20-%20Weber.2000%20%20On%20the%20sum-of-squares%20algorithm%20for%20bin%20packing.pdf
    15 Sep 2011: items, a requirement in manyapplications.

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