1384758512_795__232_lecture_7.8

8 notesspeaker from fs2009 this general idea works in

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Unformatted text preview: 21 II.1, II.2, II.3 FS: Part A.1, A.2 Comtet74 Handout #1 (self study) Unlabelled structures Labelled structures I TheoremII.5,(7.8.1). If W is a subspace of Rn and b a point in Rn , the best 4 28 II.4, II.6 Labelled structures II ˆ approximation Combinatorial to b from W is the unique vector w defined by Combinatorial 5 Oct 5 III.1, III.2 Asst #1 Due 6 12 IV.1, IV.2 7 19 IV.3, IV.4 8 26 parameters FS A.III (self-study) Parameters Analytic Methods FS: Part B: IV, V, VI Appendix B4 Stanley 99: Ch. 6 Handout #1 (self-study) Complex Analysis Multivariable GFs ˆ w = projW b. Singularity Analysis IV.5 V.1 Definition The distance from a point b Due a subspace W of Rn is the quanto 9 Nov 2 Asst #2 Asymptotic methods tity 9 VI.1 Sophie 10 12 A.3/ C Introduction to Prob. proj ||b − Mariolys b|| W 18 IX.1 11 which isIX.2 equivalent to Random Structures 20 IX.3 25 12 23 IX.4 and Limit Laws FS: Part C (rotating presentations) Limit Laws and Comb Marni Discrete Limit Laws Sophie ⊥ || projariol...
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This note was uploaded on 12/08/2013 for the course MATH 232 taught by Professor Russel during the Fall '10 term at Simon Fraser.

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