Search
Search Funnelback University
- Refined by:
- Date: 2011
1 -
20 of
55
search results for tj KaKaotalk:PC53
where 0
match all words and 55
match some words.
Results that match 1 of 2 words
-
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).pdf21 Oct 2011: Then n= 22 and k(22)= 9. So we should marry. when, for the first tJ.me after our 26th bilhday, we meet a girl who. ... and ( iii ). N-oo mot ivate the defini.tj.ons giYen belmr. 3. 1 • 2 Defi nitions. -
CHAPTER 13 MONOTONE OPTIMAL POLICIES FOR LEFT-SKIP-FREE MARKOV…
www.statslab.cam.ac.uk/~rrw1/publications/Stidham%20-%20Weber%201999%20Monotone%20optimal%20policies%20for%20left-skip-free%20Markov%20decision%20processes.pdf18 Sep 2011: Pij (J1) = P { i K (tJ ) -] = j L1 i < j 1, pEA,. -
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.pdf15 Sep 2011: N o t e that A is symmetric in i and j , since the operators Ti and Tj commute. -
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.pdf15 Sep 2011: Now. Z7ji, i- 1) =tj(i, i - )c(y) hj(i, i - 1). ... 1, O)]/[tj(1, 0) X-'] < oo.). -
Effective Bandwidths for Stationary Sources
www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%201995%20Effective%20bandwidths%20for%20stationary%20sources.pdf15 Sep 2011: P, = m, o(6). (3). PROOF: Suppose that we observe the contents of the buffer at the ends ofepochs (tj]1L_„, where t-, = / [ £ / £ ] , for some £ > 0. -
Stability of Flexible Manufacturing Systems
www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%201994%20Stability%20of%20flexible%20manufacturing%20systems.pdf15 Sep 2011: In a similar manner as in the proof of Theorem 2, we have that for s = o-i and t = Tj,. ... T'E4 (X('Tj) E (Nk (st) -Nk (S))t). and therefore E(vi) is o(t). -
Stability of On-Line Bin Packing with Random Arrivals and…
www.statslab.cam.ac.uk/~rrw1/publications/Courcoubetis%20-%20Weber%201990%20Stability%20of%20on-line%20bin%20packing%20with%20random%20arrivals%20and%20long-run%20average%20constraints.pdf15 Sep 2011: lim l-Z"(tJ)cJb=f. (l.Dt—co t j =. The model here is the same as that in Refs. -
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.pdf15 Sep 2011: chains Mj,K, t > 1,which have the same state space w MJ,K = (S,K, TJ,K ),but have product matrices J,K for transition functions, i.e.,chains in ... The tint is theta [ 1, an n(,K x. larray of integers,that is used as a sparse representation for the -
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.pdf15 Sep 2011: Corollary 3.6 (minimization of the expected weighted sum ofjob tardinesses). The tardiness of job j, Tj, is defined as max(Zj - Dj, 0). ... Suppose (A 1) and (A 4) hold, and D, : D2 _? 5 D, a.s. Then n minimizes E[ I=1 cj Tj]. Proof. -
8 8 1/2 1/2 1/2 1/2 1 1/2 1/4 ...
www.statslab.cam.ac.uk/~rrw1/markov/slides.pdf14 Nov 2011: 25. . Theorem 5.8. Suppose P is irreducible and recurrent.Then for all j I we have P(Tj < ) = 1. -
Back_of_Env_FSW_5-27
www.phase-trans.msm.cam.ac.uk/2010/envelope/envelope_Arora_Acta_2011.pdf22 Feb 2011: 18. Nandan R, Roy GG, Lienert TJ, DebRoy T. Acta Mater 2007;55:883. ... 49. Nandan R, Lienert TJ, DebRoy T. Int J Mater Res 2008;99:434. -
Pub lishe d by Man ey P ublis hing ...
www.phase-trans.msm.cam.ac.uk/2002/Widmanstatten.pdf6 Nov 2011: It follows that. fMs'La = v{}'L-M Tj v{T} dT. (20)Figure 1 of Ref. -
msq280 1043..1056
www.jiggins.gen.cam.ac.uk/pdfs/obbard2010mbe.pdf4 Feb 2011: Recent and Recurrent Selective Sweeps of the Antiviral RNAiGene Argonaute-2 in Three Species of Drosophila. Darren J. Obbard,,1,2 Francis M. Jiggins,3 Nicholas J. Bradshaw,4 and Tom J. Little1,2. 1Institute of Evolutionary Biology, University of -
ppat.1002260 1..9
www.jiggins.gen.cam.ac.uk/pdfs/longdon2011c.pdf26 Sep 2011: Host Phylogeny Determines Viral Persistence andReplication in Novel HostsBen Longdon1,2, Jarrod D. Hadfield1, Claire L. Webster1,2, Darren J. Obbard1,2., Francis M. Jiggins3. 1 Institute of Evolutionary Biology, University of Edinburgh, Ashworth Labs -
msq114 2284..2299
www.jiggins.gen.cam.ac.uk/pdfs/Juneja&Lazzaro2010.pdf12 Apr 2011: Haplotype Structure and Expression Divergence at theDrosophila Cellular Immune Gene eater. Punita Juneja and Brian P. LazzaroDepartment of Entomology, Cornell University, Ithaca, New York. Corresponding author: E-mail: pj46@cornell.edu. Associate -
A robust automated system elucidates mouse homecage behavioral…
www.jiggins.gen.cam.ac.uk/pdfs/Gouldingetal2008.pdf12 Apr 2011: Prescott TJ, Redgrave P, Gurney K (1999) Layered control architectures in robots and. -
PII: 0198-0149(81)90135-7
www.itg.cam.ac.uk/people/heh/Paper41.pdf26 Sep 2011: tJ l,t,R. occupied with the failing conductivity cell and Stas S842 to 8853 with the r c p l a c c m e u resistor. -
PHYSICAL REVIEW E 83, 031306 (2011) Shallow granular flows ...
www.itg.cam.ac.uk/people/heh/Paper226.pdf13 Apr 2011: i. j. [h(xi ,tj ) f (xi ctj )]2, (2). where h represents the thickness recorded at discrete positionsxi and times tj. -
spn0.dvi
www.damtp.cam.ac.uk/user/na/people/Alexei/papers/spn0.pdf1 Sep 2011: The subintervals of and their lengthes will be denoted by. Ij := (tj, tj1), |hj| := tj1 tj. ... Nj = 1, (1.1.1). Mj (x) =k. tjk tjNj(x),. tjk. tj. -
shadrin.dvi
www.damtp.cam.ac.uk/user/na/people/Alexei/papers/mon.pdf1 Sep 2011: x) : 1(yi1) = g(yi1); 01(yi1) = g0(yi1+);ki1(x) : ki1(yi) = g(yi); 0ki1(yi) = g0(yi);and for j such that Tj = Tj ,j(x) : 8><>: (r)j ... Hence 2 S(A0i;1); A0i 2 Xj: Tj=Tj 1:Since i(x) = maxf(x); p(x)g;we change into p at most once in each T j.
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
Recent searches
Your search history is empty.