Diff for "days3/schedule"

Differences between revisions 32 and 33

Saturday, Feb 17

9:00-9:50 -- [http://sage.math.washington.edu/talks/2007-02-17-status/ William Stein (UW): SAGE State of the Union address]
10:00-10:50 -- [http://sage.math.washington.edu/home/jkantor/parallelism.pdf Josh Kantor (UW): Parallel computation and the future of SAGE]
11:00-1:00 -- Lunch
1:00-3:30 -- SAGE Intro tutorial/Installfest
3:35-4:05 -- Greg Bard (Maryland): The Method of Four Russians for Matrix Inverses and Factorization [attachment:ENS.pdf part 1], [attachment:neworleans.pdf part 2]
4:55-5:25 -- Suvrit Sra (Texas): Sparse Matrix Computations
5:30-6:00 -- [http://sage.math.washington.edu/home/rlmill/sage-demo/graph_intro.pdf Robert Miller (UW): Introduction to the Graph class]
6:00-8:00 -- Dinner
8:00-??? -- Coding Sprint

9:00-9:50 -- Clement Pernet (U Waterloo): Matrix multiplication based linear algebra: how asymptotic and practical efficiency meet. [attachment:cpoly.pdf slides]
10:00-10:50 -- Yi Qiang (UW): DSAGE
11:00-1:00 -- Lunch
1:00-3:00 -- DSAGE Intro & Tutorial (Yi Qiang)
3:00-3:30 -- Michael Orrison (Harvey Mudd): Computational algebra and SAGE
3:35-4:05 -- Tom Boothby (UW): Fast(ish) polynomial evaluation
4:10-4:40 -- David Roe (Harvard): p-adic arithmetic in SAGE
4:45-5:15 -- Sebastian Pauli (UNC Greensboro): Round 4 algorithm
5:20-5:50 -- Ifti Burhanuddin (USC): Supersingular Module
6:00-8:00 -- Dinner
8:00-??? -- Coding Sprint

9:30-11:00 -- William Stein: Mercurial tutorial (see http://video.google.com/videoplay?docid=-7724296011317502612)
11:00-1:00 -- Lunch
1:00-3:00 -- Coding Sprint
3:00-4:00 -- Martin Albrecht (Bremen): SageX
4:00-6:00 -- Coding Sprint
6:00-8:00 -- Dinner
8:00-??? -- Coding Sprint

-  ⇤ ← Revision 32 as of 2007-02-18 07:26:09 → 
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+   ← Revision 33 as of 2007-02-18 19:25:37 → ⇥
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- * 9:00-9:50 -- Clement Pernet (U Waterloo): Matrix multiplication based linear algebra: how asymptotic and practical efficiency meet.
+ * 9:00-9:50 -- Clement Pernet (U Waterloo): Matrix multiplication based linear algebra: how asymptotic and practical efficiency meet. [attachment:cpoly.pdf slides]