Dear all,
there was a request for symbols in content MathML3, we should talk about
what to do here from the CDs side. In particular, I know that binomial
coefficient is in combinat1, but what about the others?
Michael
--
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Prof. Dr. Michael Kohlhase, Office: Research 1, Room 62
Professor of Computer Science Campus Ring 12,
School of Engineering & Science D-28759 Bremen, Germany
Jacobs University Bremen* tel/fax: +49 421 200-3140/-493140
[EMAIL PROTECTED] http://kwarc.info/kohlhase
skype: m.kohlhase * International University Bremen until Feb. 2007
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ISSUE-33 (statistical symbols): Kyle's Siegrist's request for new
Content-MathML symbol
http://www.w3.org/2005/06/tracker/math/issues/33
Raised by: Robert Miner
On product:
From:
http://lists.w3.org/Archives/Public/www-math/2005May/0002.html
Here is what I would love to see added to Content MathML:
1. Binomial coefficient
2. Permutation coefficient: n(n -1)...(n - k + 1), usually
rendered P(n, k) or nPk or (n)k.
3. A probability operator with an optional "given" construction
(for conditional probability). Typical rendering would be
P(A, B, ...) (without conditioning) or P(A, B, ... | C, D, ...)
(with conditioning).
4. An expected value operator with an optional "given" construction
(for conditional expected value). Typical rendering would be E(A,
B, ...) (without conditioning) or E(A, B, ... | C, D, ...) (with
conditioning).
5. General union, to form the union of Ai over i = a to b, or the
union of Ai where i is in an index set I. This would work just
like the sum construction, with a bound variable and with lower and
upper limits, or with a bound variable and with a condition.
6. Exactly like 5, but with intersection.
If I had these extensions, I think that I could do just about
everything that I wanted without going over to Presentation MathML.
Items 3 and 4 (with the "given" construction) are really important in
probability, statistics, and stochastic processes; conditional
probability and expected value are central notions. Ordinary
probability and expected value can be done with the usual function
("apply") construction, but there is no way to do the conditioning
without adding Presentation MathML as a kludge.
I am really surprised that items 5 and 6 are not already present;
they seem very natural and necessary for lots of areas of math."
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