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  2. DEVELOPMENT AND APPLICATIONOF A PROGRAM FOR THE COMPUTER AIDED ...

    www3.eng.cam.ac.uk/outreach/Project-resources/Senior-glider/Aery-technical-paper.pdf
    12 Oct 2011: A session plan similar to 1995 was used for this full capacity , 24 student, session.
  3. National Science Week 2004

    www3.eng.cam.ac.uk/outreach/Project-resources/Hovermagic/HoverMagic-equipment-list.pdf
    11 Oct 2011: Philips screwdrivers (for battery boxes) wire strippers Notes on Burger trays: Maskearaid Industrial supplies www.maskearaid.co.uk 01480 217516 Complete meal box: THP4 240x202x74mm £44.24 VAT for 200 Jan2009
  4. Neutral Fermion Excitations in the Moore-Read State at Filling ...

    www.tcm.phy.cam.ac.uk/~gm360/papers/source-free/PhysRevLett.107.036803.pdf
    8 Aug 2011: Often for fractional quan-tum Hall systems, this is an ‘‘excitonic’’ state in which thehole binds a charge e to form a neutral exciton moving inthe background incompressible liquid [24]. ... 24] N. R. Cooper and D. B. Chklovskii, Phys. Rev. B 55,
  5. NATURAL SCIENCES TRIPOS Part II Wednesday 19 January 2011 ...

    www.tcm.phy.cam.ac.uk/~cc726/TP1/ExamFiles/exam11sol.pdf
    24 Jan 2011: 22). For P2 we have. P2x. = α/2 (23). P2y. = 0 (24).
  6. examples_all.dvi

    www.tcm.phy.cam.ac.uk/~achc2/pt2thermo.pdf
    30 Apr 2011: KN =1. 4V. (. 2πh̄2. mekBT. )3/2. eeφ/kBT. where φ is the first ionisation potential of He, which is 24.6 V.Find the proportion of He that is ionised
  7. Observations on the Bomber Problem Richard Weber† Third International …

    www.statslab.cam.ac.uk/~rrw1/talks/Stanford_bomber_seminar.pdf
    8 Jun 2011: y(32,3) = arg maxy[0,5.24]. [. c(y)F(31.4 y,2)]. = 14.0079. y(33,3) = arg maxy[0,5.25]. [. ... 13, 14, 14, 14, 14, 14, 14, 15, 15, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25}.
  8. createdbydvipdf

    www.statslab.cam.ac.uk/~rrw1/research/K3%20revised.pdf
    17 Oct 2011: 24). This is nearly the dual of (23). With (24) in mind, we imagined taking y to the the AW strategy and worked at trying to guess a fullbasis in the
  9. bomber12.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/weber-bomber_paper_draft4.pdf
    21 Oct 2011: We find, incontradiction to (B),. y(32,3) = arg maxy[0,5.24]. [. c(y)F(31.4 y,2)]. = ... 14,14,14,14,14,14,15,15,15,16,17,18,19,20,21,22,23,24,25}. {k(n,3)}40n=1 =
  10. On a conjecture about assigning jobs to processors of differing…

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%201993%20On%20a%20conjecture%20about%20assigning%20jobs%20to%20processors%20of%20different%20speeds.pdf
    15 Sep 2011: Contr. Optimiz., vol. 24, pp. 152-156, 1986. R. Datko, “Not all feedback stabilized hyperbolic systems are robust with respect to small time delays in their feedbacks,” SIAM J.
  11. The Interchangeability of Tandem Queues with Heterogeneous Customers…

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%201992%20The%20interchangeability%20of%20tandem%20queues%20with%20heterogeneous%20customers%20and%20dependent%20service%20times.pdf
    15 Sep 2011: Adv. Appl. Prob. 24, 727-737 (1992) Printed in N. Ireland. @ Applied Probability Trust 1992. ... 24, No. 3 (Sep., 1992), pp. 509-759. Front Matter. On Some Exponential Functionals of Brownian Motion [pp.
  12. STOCHASTIC SCHEDULING ON PARALLEL PROCESSORS AND MINIMIZATION OF…

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%201988%20Stochastic%20scheduling%20on%20parallel%20processors%20and%20minimization%20of%20concave%20functions%20of%20completion%20times.pdf
    16 Sep 2011: Appl. Prob., 24 (1987) (to appear). [5J L. LOVASZ, Submodular functions and convexity, lvIathematical Programming, the State of the Art, eds A.
  13. A Note on Waiting Times in Single Server Queues

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%201983%20A%20note%20on%20waiting%20times%20in%20single%20server%20queues.pdf
    15 Sep 2011: respectively. Using computer simulation, we have estimated the mean waiting times to be 6.614, 6.531 and 6.445 when ju equals 1.24, 1.25 and 1.26, respectively. ... As ju increases from 1.24 to 1.25 to 1.26 the mean waiting time decreases by 0.0830 and
  14. Scheduling Jobs with Stochastic Processing Requirements on Parallel…

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%201982%20Scheduling%20jobs%20with%20stochastic%20processing%20requirements%20on%20parallel%20machines%20to%20minimize%20makespan%20or%20flowtime.pdf
    15 Sep 2011: V(xsc)Q(x)} u (x,s)- {V(x, s, c)Q(x)}. (24). u,(x,s)p, (x)V'(x,s,c s)Q(x). ... ds i=. Equation (23) is obtained by differentiating (2), and (24) by observing that.
  15. Optimal Control of Service Rates in Networks of Queues

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%20-%20Stidham%201987%20Optimal%20control%20of%20service%20rates%20in%20networks%20of%20queues.pdf
    15 Sep 2011: It is usually assumed that a holding cost is charged. Received 24 June 1983; revision received 19 November 1985.
  16. THE THEORY OF OPTIMAL STOPPING RICHARD Re WEBER DOWNING ...

    www.statslab.cam.ac.uk/~rrw1/publications/The%20theory%20of%20optimal%20stopping%20(Part%20III%20essay).pdf
    21 Oct 2011: 16. 17. 21. 24. 24. 27. 29. 34. 1. Chapter 1. ... t = min{ n : 1tne [0,] u ['ii, 1] }. 24. Chapter 4. The 0Ilt:lmal Stopptng of Random Sequences. Having characterized che solution to the optimal stopping.
  17. A survey of Markov decision models for control of networks of queues

    www.statslab.cam.ac.uk/~rrw1/publications/Stidham%20-%20Weber%201993%20A%20survey%20of%20Markov%20decision%20models%20for%20control%20of%20networks%20of%20queues.pdf
    15 Sep 2011: Weber [66], Foschini and Salz [24], Ephremides et al.
  18. Monotonic and Insensitive Optimal Policies for Control of Queues with …

    www.statslab.cam.ac.uk/~rrw1/publications/Stidham%20-%20Weber%201989%20Monotonic%20and%20insensitive%20optimal%20policies%20for%20control%20of%20queues%20with%20undiscounted%20costs.pdf
    15 Sep 2011: Monotonic and Insensitive Optimal Policies for Control of Queues with Undiscounted CostsAuthor(s): Shaler Stidham Jr. and Richard R. WeberSource: Operations Research, Vol. 37, No. 4 (Jul. - Aug., 1989), pp. 611-625Published by: INFORMSStable URL:
  19. SEQUENTIAL OPEN-LOOP SCHEDULING STRATEGIES P. Nash, R.R. Weber…

    www.statslab.cam.ac.uk/~rrw1/publications/Nash%20-%20Weber%201982%20Sequential%20open-loop%20scheduling%20strategies.pdf
    18 Sep 2011: Sci. 24, pp. 554-561. Gittins, J.C.: 1976, Bandit processes and dynamic allocation indices, J.
  20. 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: Optimal Scheduling of Peer-to-Peer File Dissemination. Jochen Mundinger, Richard Weber† and Gideon Weiss‡. Abstract. Peer-to-peer (P2P) overlay networks such as BitTorrent and Avalanche are increas-ingly used for disseminating potentially large
  21. LiuWeberZhao11CDC_revised.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/Liu%20-%20Weber%20-%20Zhao%202011%20Indexability%20and%20Whittle%20Index%20for%20restless%20bandit%20problems%20involving%20reset%20processes.pdf
    31 Oct 2011: 24). Theorem 3: When arms are stochastically identical, Whit-. tle index policy is asymptotically optimal in the follow sense:. ... 24, no. 2, pp. 293-305, May 1999. [10] R. R. Weber and G.
  22. Concavity and Monotonicity Properties in aGroundwater Management…

    www.statslab.cam.ac.uk/~rrw1/publications/Huh%20-%20Krishnamurhty-%20Weber%202011%20Concavity%20and%20Monotonicity%20Properties%20in%20a%20Groundwater%20Management%20Model.pdf
    25 Oct 2011: exploitation of groundwater. Journal of Environmental Economics and Management,. 24(2):139–158, 1993.
  23. 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: For now it is interesting. A Self Organizing Bin Packing Heuristic 5Alg n Samples j = 24 25 60 97 98 99SS 105 100 223 223 884 23,350 28,510 ... 118109 3 68,719 187,061 3,512,397BF 105 100 78 167 16,088 22,669 24,736 25,532106 32 76 831 154,460 59,015
  24. 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: On the Sum-of-Squares Algorithm for Bin Packing. JANOS CSIRIK. University of Szeged, Szeged, Hungary. DAVID S. JOHNSON. AT&T Labs - Research, Florham Park, New Jersey. CLAIRE KENYON. Brown University, Providence, Rhode Island. JAMES B. ORLIN and
  25. 1034 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. ...

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%202006%20%20Incentives%20for%20large%20peer-to-peer%20systems.pdf
    15 Sep 2011: 24, NO. 5, MAY 2006. Now, consider the solution of. For the uniform distribu-tion, , so our problem is. ... 24, NO. 5, MAY 2006. central authority, a “global planner,” who serves as an interme-diary for implementing these rules.
  26. wiopt.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%202004%20Asymptotics%20for%20provisioning%20problems%20of%20peering%20wireless%20LANS%20with%20a%20large%20number%20of%20participants.pdf
    15 Sep 2011: with respect to xij (θ), Qi(θ), subject to. Qi(θ) 0 , xij (θ) 0 , (24). ... function (23) is a concave function ofthe decision variables, and (24)–(26) define a region that is convex in the decision variables.
  27. journal7.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%202001%20Economic%20issues%20in%20shared%20infrastructures.pdf
    31 Oct 2011: In a problem addressed in [23] and [24]jobs must be allocated to machines which are strategic inrevealing their processing times for the jobs. ... j 6=i pj(θj). Mechanism 3:The allocating rule is as in Mechanism 1.As an application of (24)agent1 pays.
  28. The Move-to-Front Rule for Multiple Lists

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%201990%20The%20move-to-front%20rule%20for%20multiple%20lists.pdf
    15 Sep 2011: Denote by x' the state which is obtained. 24 C. Courcoubetis and R.
  29. paper3.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Kelly%20-%20Weber%202000%20Measurement%20based%20charging%20in%20communication%20networks.pdf
    15 Sep 2011: the charging function takes theform a1[: : : ]T1 a2[: : : ]T2 a3[: : : ]V1 a4[: : : ]V2: (24)Recall that T1 and T2 are the total durations of intervals of types I and II respectively;
  30. Preprint 0 (2000) 1{22 1Telecommunication Systems, 15(3-4):323-343,…

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Kelly%20-%20Siris%20-%20Weber%202000%20A%20study%20of%20simple%20charging%20schemes%20for%20broadband%20networks.pdf
    15 Sep 2011: Hence, if T is the duration of a trace segment j then the eectivebandwidth aj for a connection whose trac is given by this segment is computedfrom j = 1st log 24
  31. On the Performance of an E�ective Bandwidths FormulaCostas…

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Fouskas%20-Weber%201994%20On%20the%20performance%20of%20an%20effective%20bandwidths%20formula.pdf
    15 Sep 2011: Ei = mi i2B ; (2)2. where i = limn!1(1=n)E 24 nXk=1 Xk!235 : i is commonly called the index of dispersion.
  32. An on-line Estimation Procedure forCell-Loss Probabilities in ATM…

    www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Fouskas%20-%20Weber%201995%20A%20on-line%20estimation%20procedure%20for%20cell-loss%20probabilities.pdf
    15 Sep 2011: A crude estimate of the variance of the logi estimator is given by2i = 1M 1 8><>: MXj=1(yi;j yi)2 1M 24 MXj=1(yi;j yi)3529>=>;
  33. Minimizing Expected Makespans on Uniform Processor Systems

    www.statslab.cam.ac.uk/~rrw1/publications/Coffman%20Garey%20Flatto%20Weber%201987%20Minimizing%20expected%20makespan%20on%20uniform%20processor%20systems.pdf
    18 Sep 2011: 1 (3.24) Cl(a, k 1)= C(a 3, k - 1). 1+ Y2. ... 1 Y2 3. Comparison of (3.24) and (3.25) yields C2(a, k 1) < Cl(a,.
  34. 3954

    www.statslab.cam.ac.uk/~rrw1/publications/Coffman%20...%20Weber%202002%20Perfect%20packing%20theorems%20and%20the%20average%20case%20behavior%20of%20optimal%20and%20online%20bin%20packing.pdf
    15 Sep 2011: E[w(t]) (u2n1/2/8)[nu/8 nu/24] = u3n1/2/96. This implies. E. [1n. n. t=1. ... w(t). ] u3n1/2/192. On the other hand, ifn1s=0 P(υ(s) n1/2) nu/24, then.
  35. P:TEXSIDMA�-3Õ93Õ93

    www.statslab.cam.ac.uk/~rrw1/publications/Coffman%20...%20Weber%202000%20Bin%20packing%20with%20discrete%20item%20sizes,%20Part%20I%20Perfect%20packing%20theorems.pdf
    15 Sep 2011: BIN PACKING WITH DISCRETE ITEM SIZES, PART I: PERFECTPACKING THEOREMS AND THE AVERAGE CASE BEHAVIOR OF. OPTIMAL PACKINGS. E. G. COFFMAN, JR.†, C. COURCOUBETIS‡, M. R. GAREY, D. S. JOHNSON,P. W. SHOR, R. R. WEBER‖, AND M. YANNAKAKIS. SIAM J.
  36. Fundamental Discrepancies Between Average-Case Analyses Under…

    www.statslab.cam.ac.uk/~rrw1/publications/Coffman%20...%20Weber%201991%20Fundamental%20discrepancies%20between%20average-case%20analyses%20under%20discrete%20and%20continuous%20distributions%20A%20bin%20packing%20case%20study.pdf
    15 Sep 2011: additional gaps of size 1, for a total of 23 m/24.
  37. To appear in RANDOM STRUCTURES AND ALGORITHMSBin Packing with ...

    www.statslab.cam.ac.uk/~rrw1/publications/Coffman%20-%20Johnson%20-%20Shor%20-%20Weber%201996%20Bin%20packing%20with%20discrete%20item%20sizes%20Part%20II.pdf
    15 Sep 2011: If E sb = k n6 (pnk) ; (4.1)24. then E[WFF (L)] = (pnk).Proof.
  38. Markov Chains, Computer Proofs, andAverage-Case Analysis of Best Fit…

    www.statslab.cam.ac.uk/~rrw1/publications/Coffman%20-%20Johnson%20-%20Shor%20-%20Weber%201993%20Markov%20chains,%20computer%20proofs,%20and%20average-case%20analysis%20of%20best%20fit%20bin%20packing.pdf
    15 Sep 2011: open question of whether there exist distributionsof thii form for which Best Fit yields linearly-growing waste.The proof of the latter theorem relies on a 24-hour computation,and although ... Similar arguments work for U{9,12} with t = 19 and22 = 814,
  39. Optimal Selection of Stochastic Intervals under a Sum Constraint

    www.statslab.cam.ac.uk/~rrw1/publications/Coffman%20-%20Flatto-%20Weber%201987%20Optimal%20selection%20of%20stochastic%20intervals%20under%20a%20sum%20constraint.pdf
    15 Sep 2011: Let. (24) Ei = Pi= F(E,). and for i = 1, 2 define the events.
  40. On the Optimality of LEPT and c Rules for Machines in Parallel

    www.statslab.cam.ac.uk/~rrw1/publications/Chang%20...%20Weber%201992%20On%20the%20optimality%20of%20LEPT%20and%20cu%20rules%20for%20machines%20in%20parallel.pdf
    15 Sep 2011: Prob. 24(3). CHANG, C. S. AND YAO, D. D. (1990) Rearrangement, majorization and stochastic scheduling. ... machines. J. Appl. Prob. 24, 430-448. KAMPKE, T. (1989) Optimal scheduling of jobs with exponential service times on identical parallel.
  41. p2pw6.dvi

    www.statslab.cam.ac.uk/~rrw1/publications/Antoniadis%20-%20Courcoubetis%20-%20Weber%202004%20An%20Asymptotically%20Optimal%20Scheme%20for%20P2P%20File%20Sharing.pdf
    15 Nov 2011: Each of the peers whohas θ = 0.5 makes net benefit of 24.6390. ... Under this mechanism,the peers who have θ = 0.5 will now make a greater netbenefit of 24.6975.
  42. The Rendezvous Problem on Discrete Locations

    www.statslab.cam.ac.uk/~rrw1/publications/Anderson%20-%20Weber%201990%20The%20rendezvous%20problem%20on%20discrete%20locations.pdf
    15 Sep 2011: SIAM J. Control. Optim. 24, 66-75. ANANTHARAM, V. AND VARAIYA, P.
  43. O.dvi

    www.statslab.cam.ac.uk/~rrw1/opt1998/O.pdf
    9 May 2011: D: maximize L(λ) subject to λ Y,. 24. equivalently,. D: maximizeλY. {.
  44. 21 Paper 3, Section I 9H Markov ChainsLet (Xn)n>0 ...

    www.statslab.cam.ac.uk/~rrw1/markov/MarkovChainTriposQuestions2004-11.pdf
    4 Sep 2011: Part IB, 2010 List of Questions [TURN OVER. 24. Paper 2, Section II. ... 24. Paper 1, Section II. 19H Markov Chains. A gerbil is introduced into a maze at the node labelled 0 in the diagram.
  45. 21 Paper 3, Section I 9H Markov ChainsLet (Xn)n>0 ...

    www.statslab.cam.ac.uk/~rrw1/markov/MarkovChainTriposQuestions2001-11.pdf
    29 Sep 2011: Part IB, 2010 List of Questions [TURN OVER. 24. Paper 2, Section II. ... 24. Paper 1, Section II. 19H Markov Chains. A gerbil is introduced into a maze at the node labelled 0 in the diagram.
  46. Investigation of cell scale and burst scale effects on the cell loss…

    www.statslab.cam.ac.uk/~rrw1/abstracts/c97a.html
    20 Sep 2011: Workshop on Performance Engineering of Computer and Telecommunication Systems (UKPEW'97) , Ilkley, U.K., July 24, 1997.
  47. Abstract

    www.statslab.cam.ac.uk/~rrw1/abstracts/c92a.html
    20 Sep 2011: Prob., 24, 667-681, 1992. Abstract. Items of various types arrive at a bin packing facility according to random processes and are to be combined with other readily available items of
  48. 7 Oct 2011: ADVANCED PROBABILITY 24 lectures. This course aims to cover the advanced topics at the core of research in probability theory.
  49. Symmetric Rearrangements Around Infinity with Applications to Lévy…

    www.statslab.cam.ac.uk/~ps422/LevyRearrangement.pdf
    25 Oct 2011: on O}, (1.24). with CqX(O) := if the infimum is taken over an empty set. ... show. that the infimum in (1.24) is achieved at a function eqO D(Eq), called the q-equilibrium potential ofO.
  50. 26 Oct 2011: Proof of Theorem 1.5 (a). From [3, Proposition 1.1] or [12, Theorem 8.24] we have thatfor any transient Brownian motion. ... From [3, Proposition 1.1] or [12, Theorem 8.24] we have that.
  51. Global uniform risk bounds for wavelet deconvolution estimators

    www.statslab.cam.ac.uk/~nickl/Site/__files/AOS836.pdf
    17 Feb 2011: 36], Delaigle and Gijbels [11], Hesseand Meister [24], Johnstone et al.

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