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C:JMNSC*-1MNSC0455.DVI
www.statslab.cam.ac.uk/~frank/PAPERS/aks_final.pdf2 Jul 2007: yi = c1/%( 1. 0Ɛ#t % dt. )1/%1. 10Ɛ#t %1#it dt (24). ... parameter %: If % = 1,the optimal choice of contract quantity (24) dependsonly on the expectation. -
paper.dvi
www.statslab.cam.ac.uk/~frank/PAPERS/fse2ecc.pdf31 May 2007: 24). In this case the covariance matrix Σ has the relatively simple form. -
J Theor Probab (2007) 20: 177–199DOI 10.1007/s10959-007-0058-1…
www.statslab.cam.ac.uk/~nickl/Site/__files/jotp2007.pdf23 Oct 2007: In Nickl [24] it is shown that these sufficient condi-tions are essentially sharp (at least in the unweighted case). ... 24]. [A similar result is true for the unit ball in Bspq (R. -
Probab. Theory Relat. Fields (2007) 138:411–449DOI…
www.statslab.cam.ac.uk/~nickl/Site/__files/ptrf07.pdf9 Apr 2007: Richard Nickl. Received: 24 September 2005 / Revised: 14 September 2006 / Published online: 24 October 2006 Springer-Verlag 2006. ... bracket-size) upon noting that Ws2 (R, λ |R ) coincideswith the Besov space Bs22 (R, λ |R ) defined in [24] and upon -
MunWebWei06JoS_final.dvi
www.statslab.cam.ac.uk/~rrw1/research/MunWebWei06JoS_final.pdf4 Apr 2007: In this paper, we provide the scheduling background, proofs and discussion of the resultsin our extended abstracts [24] and [23]. -
John Michael Hammersley JOHN MICHAEL HAMMERSLEY21 March 1920 — ...
www.statslab.cam.ac.uk/~grg/papers/jmh_biom.pdf31 Aug 2007: John Michael Hammersley. JOHN MICHAEL HAMMERSLEY21 March 1920 — 2 May 2004. Elected FRS 1976. By Geoffrey Grimmett and Dominic Welsh. Centre for Mathematical Sciences, University of Cambridge, Cambridge CB3 0WBMerton College, Oxford OX1 4JD. John -
Optimization and Control J.R. Norris November 22, 2007 1 ...
www.statslab.cam.ac.uk/~james/Lectures/oc.pdf22 Nov 2007: and apply the preceding two propositions with θ = Vk. 24. -
L.dvi
www.statslab.cam.ac.uk/~rrw1/oc/La5.pdf14 Jun 2007: OPTIMIZATION AND CONTROL. Richard Weber. Contents. DYNAMIC PROGRAMMING 1. 1 Dynamic Programming: The Optimality Equation 11.1 Control as optimization over time. 11.2 The principle of optimality. 11.3 Example: the shortest path problem. 11.4 The
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