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  1. Results that match 1 of 2 words

  2. arX iv:1 004. 1300 v1 [ mat h-ph ] ...

    www.statslab.cam.ac.uk/~yms/BCSS3.pdf
    16 Aug 2010: SUHOV. satisfies. (1.24) y /. K(x,n). =1. ΛL(l)(x(l)),. then boxes Λ(n)L (x) and Λ. ... Set β = 1/2, α = 3/2 (cf.1.24). GivenE I and v Znd, the n-particle box ΛL(v) and the corresponding lattice box BL(v)are called.
  3. arX iv:0 907. 1459 v1 [ mat h-ph ] ...

    www.statslab.cam.ac.uk/~yms/BCSS2.pdf
    16 Aug 2010: arX. iv:0. 907. 1459. v1 [. mat. h-ph. ] 9. Jul. 200. 9. Anderson localization in a two-particle. continuous model with an alloy-type external. potential. A. Boutet de Monvel1, V. Chulaevsky2, P. Stollmann3, Y. Suhov4. 1Institut de Mathématiques
  4. 16 Aug 2010: Instead, we refer the reader to the monographs [6, 20, 23], the surveys[18, 24] and the recent papers [2, 11] where such bibliography is presented. ... Progress in Math. Phys., vol. 20. Birkhäuser, Basel (2001)24. Veselić, I.: Existence and Regularity
  5. oheads_lectures.dvi

    www.statslab.cam.ac.uk/~rrw1/opt/oheads_lectures4up.pdf
    28 Apr 2010: j=31. xij 1,. 14. j=11. xij 26. j=24. xij 1,. 30. ... 36.1FI 31.2FF 27.7HA 22.6HC 38.6MS 12.5MI 73.7BS. 51.7PI 18.6OJ 29.7QP 4.0GS 24.6SM 30.4SE 5.7TK = CARB;.
  6. oheads_lectures.dvi

    www.statslab.cam.ac.uk/~rrw1/opt/oheads_lectures.pdf
    28 Apr 2010: j=31. xij 1,. 14. j=11. xij 26. j=24. xij 1,. 30. ... 36.1FI 31.2FF 27.7HA 22.6HC 38.6MS 12.5MI 73.7BS. 51.7PI 18.6OJ 29.7QP 4.0GS 24.6SM 30.4SE 5.7TK = CARB;.
  7. History of the Diet Problem

    www.statslab.cam.ac.uk/~rrw1/opt/diet_history.html
    15 Apr 2010: Stigler's guess for the optimal solution was off by only 24 cents per year.
  8. L.dvi

    www.statslab.cam.ac.uk/~rrw1/oc/L2010a4.pdf
    25 Nov 2010: 236.5 Calculation of the Gittins index. 24. 6.6 Forward induction policies. ... 24. 7 Average-cost Programming 257.1 Average-cost optimization. 257.2 Example: admission control at a queue.
  9. 24 Mar 2010: n = 100 n = 200 n = 500 n = 1000 n = 2000d = 2 1.5 secs (260) 2.9 secs (500) 50 secs (1270) 4 mins (2540) 24 mins (5370)d = 3 6
  10. ODE approximations to some Markov chain models Perla Sousi ...

    www.statslab.cam.ac.uk/~ps422/smithknight1.pdf
    10 Nov 2010: 23. 4.2.2 Notation. 24. 4.2.3 Defining the rates of individual interactions. ... 24. 4.2.4 Deriving the Markov chain rates. 25. 4.2.5 Example: n = 1.
  11. IMS CollectionsHigh Dimensional Probability V: The Luminy VolumeVol.…

    www.statslab.cam.ac.uk/~nickl/Site/__files/IMSCOLL522.pdf
    26 Feb 2010: 24) ch(p, q) ‖p q‖2,λ Ch(p, q). holds for p, q P (t, ζ, D) with t > 1/2 and ζ > 0 (cf. ... Consequently, us-ing (24), the Hellinger-bracketing metric entropy H[](ε, P̄H(n), ‖ ‖2,λ) (with P̄H(n) ={ p : p P̃H(n) }) can be bounded by the L2(T

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