Search

Search Funnelback University

Search powered by Funnelback
1 - 20 of 43 search results for `all b B` |u:www.statslab.cam.ac.uk
  1. Fully-matching results

  2. Abstract

    www.statslab.cam.ac.uk/~rrw1/abstracts/c01a.html
    20 Sep 2011: Kenyon, J.B. Orlin, P.W. Shor and R.R. Weber. , in Proc. ... In addition, we present a ran- domized O(nB log B)-time on-line algorithm SS , based on SS, whose expected behavior is essentially optimal for all discrete distributions.
  3. 26 Oct 2011: B(x,r δ) π(C(π1(x),r)) B(x,r δ), for all R > R0. (2.5). ... Also for all A π1(B(0,K)) we have that. µ(A) vol(π(A)) 0, as R.
  4. EUROPEAN APPORTIONMENT VIA THECAMBRIDGE COMPROMISE GEOFFREY R.…

    www.statslab.cam.ac.uk/~grg/papers/USep4.pdf
    22 Aug 2011: 3. adjust the divisor d in such a way that the sum of the seatnumbers of all Member States equals the given Parliament-size. ... 2. Suppose, at some stage, that State i has been allocated ai seatsin all.
  5. Global uniform risk bounds for wavelet deconvolution estimators

    www.statslab.cam.ac.uk/~nickl/Site/__files/AOS836.pdf
    17 Feb 2011: Wenext prove fk B(s, L) for all k and suitable c′, η. ... 3.5. Proof of Theorem 4. For simplicity of notation, we suppress the supremaover B(s, L) in most of what follows—uniformity of the bound follows from track-ing all
  6. State space collapse and diffusion approximation for a network…

    www.statslab.cam.ac.uk/~frank/PAPERS/AAP591.pdf
    30 Nov 2011: Trans-mission is assumed to occur simultaneously through all resources on route i. ... By Proposition 4.3,there exists a compact set B(R) in RI+ such that n(t) B(R) for all t 0 for anyfluid model solution n satisfying |n(0)|
  7. Observations on the Bomber Problem Richard Weber† Third International …

    www.statslab.cam.ac.uk/~rrw1/talks/Stanford_bomber_seminar.pdf
    8 Jun 2011: pt =1011 for all t. {c(0),c(1),c(2),c(3),c(4),. } = {0, 316,12,1,1,. }. Note that c(i)2 c(i 1)c(i 1) ... Adv Appl Probab 42(3):795–815. Bartroff J, Goldstein L, Samuel-Cahn E (2010b) The spend-it-all regionand small time results for the continuous
  8. 26 Oct 2011: 1 P(Ψ(B) > 0)). 1 exp(BΛ. P(Ψ(B) > 0)). Taking sup over all Λ Γ of type 1, we deduce that P(Ψ(X) > 0) = 1. • ... Pu(B hits A) > 0,for all starting points u. By neighborhood recurrence of Brownian motion, we get that thisprobability is indeed
  9. visa06f-courcoubetis.dvi

    www.statslab.cam.ac.uk/~rrw1/research/visa09.pdf
    20 Jan 2011: This is the same as requiring an equal sizeof resource contribution from all participants. ... So N B(n 1, 1 αq). Theexpected net benefit of all the agents is.
  10. Symmetric Rearrangements Around Infinity with Applications to Lévy…

    www.statslab.cam.ac.uk/~ps422/LevyRearrangement.pdf
    25 Oct 2011: µqA(B) := q. Rd. Ex[eqTA 1{XTAB}. ]dx for all B B(Rd). ... 8.2& 8.4], provided we replace Gq by. G0(y,B) :=. 0. Py(Xt B) dt for all B B(Rd), (1.21).
  11. O.dvi

    www.statslab.cam.ac.uk/~rrw1/opt1998/O.pdf
    9 May 2011: We write. g(x) z = b, z 0. It will frequently be mathematically useful to turn all our constraints into equalities. ... You can confirm for all b thatprimal and dual here have the same optimal values.
  12. On the Marginal Benefit of Adding Servers to G/GI/m Queues

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%201980%20On%20the%20marginal%20benefit%20of%20adding%20servers%20to%20G%20GI%20m%20queues.pdf
    15 Sep 2011: In this case any bidder can obtain greater profits by bidding bA E on A, b E on B, and 0 on all other items. ... for all c and N. For c > 2 and p > 1.5, 1 - I/p seems very close to B.
  13. bomber12.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/weber-bomber_paper_draft4.pdf
    21 Oct 2011: The Invincible Fighter Problem corresponds to the investment problem of Derman et al andso (A), (B) and (C) all hold. ... We summarise in Table 1 the status of (A), (B) and (C) for the set of problems discussed above,all of which are defined by cases of
  14. Top (2007) 15: 211–216DOI 10.1007/s11750-007-0029-9 D I S C ...

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%202007%20Comments%20on%20Dynamic%20priority%20allocation%20via%20restless%20bandit.pdf
    15 Sep 2011: As ν , all states are eventually in S2. The solution tothe ν-wage problem can be succinctly described in terms of the 2n indices producedby the algorithm. ... Also, bi < b for all states i in which theactive action is taken.
  15. Effective Bandwidths for Stationary Sources

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%201995%20Effective%20bandwidths%20for%20stationary%20sources.pdf
    15 Sep 2011: Using this heuristic limfl-0o( 1/S)log P(B) < - 5 if and only if I{c a)/a > 5for all a. ... because it is unlikely that any theoretical model is rich enough to adequatelymodel all traffic classes.
  16. DOMINANT STRATEGIES IN STOCHASTIC ALLOCATION AND SCHEDULING PROBLEMS…

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%20-%20Nash%201982%20Dominant%20strategies%20in%20stochastic%20allocation%20and%20scheduling%20problems.pdf
    18 Sep 2011: fa i 1u r era t ere pair s t rat e gy rna x i rn i z e s for all t the pro b a biIi t y ... 352 P. NASH AND R. R. VEBER. B)O, and the result follows by taking c as a vector which is in the component corresponding to all jobs complete and 1
  17. visa06f-courcoubetis.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%202009%20Economic%20issues%20in%20shared%20infrastructures.pdf
    15 Sep 2011: This is the same as requiring an equal sizeof resource contribution from all participants. ... So N B(n 1, 1 αq). Theexpected net benefit of all the agents is.
  18. Stable policies for Petri-nets with fluctuating transition processes…

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-Weber%201990%20Stable%20policies%20for%20Petri-nets%20with%20fluctuating%20transition%20processes.pdf
    15 Sep 2011: We desire to stabilize t > l e system by ensuring t h a t for all i a,nd t we have E ( z i ( t ) ) < B for some R. ... Similarly, r = {x : Bx 2 0) for sonie B with coefficients t h a t a,re all -1, 0 or 1.
  19. Stability of Flexible Manufacturing Systems

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%201994%20Stability%20of%20flexible%20manufacturing%20systems.pdf
    15 Sep 2011: We desire to stabilize the system by ensuring that for all i and t we have E(xi(t)) < B for some B. ... Similarly, = f x Bx? O} for some B with coefficients that are all -1, 0, or 1.
  20. Stochastic Dispatching of Multi-Priority Jobs to Heterogeneous…

    www.statslab.cam.ac.uk/~rrw1/publications/Xu%20-%20Mirchandani%20-%20Kumar%20-%20Weber%201990%20Stochastic%20dispatching%20of%20multi-priority%20jobs%20to%20heterogeneous%20processors.pdf
    15 Sep 2011: Thus, we need to establish the optimality of 7r, amongst all dispatching functions. ... That is, B, is the set of states for which the confining of all future Cj job assignments to P,,. "? ",
  21. Buffer Overflow Asymptotics for a Buffer Handling Many Traffic Sources

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%201996%20%20Buffer%20overflow%20asymptotics%20for%20a%20switch%20handling%20many%20traffic%20sources.pdf
    15 Sep 2011: So for all m_. mo we have [b m(c6 - p,, (6))] > b and. ... Thus I(c, b)? bH(c) for all b. Moreover, for those b for which b =. m(cp'(H(c))-c), m= 1, 2,--., we have I(c, b)=bH(c).

Refine your results

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.