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- Newsgroups: sci.math
- Path: sparky!uunet!destroyer!ubc-cs!unixg.ubc.ca!unixg.ubc.ca!israel
- From: israel@unixg.ubc.ca (Robert B. Israel)
- Subject: Re: Matching algorithm
- Message-ID: <israel.714341702@unixg.ubc.ca>
- Sender: news@unixg.ubc.ca (Usenet News Maintenance)
- Nntp-Posting-Host: unixg.ubc.ca
- Organization: University of British Columbia, Vancouver, B.C., Canada
- References: <18353.2a93ce73@levels.unisa.edu.au>
- Date: Thu, 20 Aug 1992 20:15:02 GMT
- Lines: 68
-
- In <18353.2a93ce73@levels.unisa.edu.au> 8321207d@levels.unisa.edu.au writes:
-
-
- >Hello folks, this is a first for me.
-
- >Can anyone help with the following (sorry for being verbose).
-
- >Suppose you have a number of choirs with different numbers of people in
- >each. The voice ranges of the choir members are known. It is possible
- >that the ranges of some of the people overlap; for example, person A may
- >sing in the range 2000-2500 Hz while person B sings in the range 2300-
- >2650 Hz. Furthermore, some of the people in a particular choir may have
- >other links between them, for instance person C could sing one octave
- >(whatever an octave is) higher than person A.
-
- >Suppose now that one of the choirs performed and this performance was
- >recorded. If the recording of the performance is analyzed then it is
- >possible to isolated various bands within which singing took place.
-
- >The problem is to identify which choir was singing. However, care must
- >be exercised during this process because when a particular voice band
- >gets associated with a paerson in a choir, then there are consequences
- >due to possible links which may exist between the people. Hence associating
- >a voice band of 2350-2450 Hz with person A may result in the singing
- >range for person D being restricted to a new range if person D sings
- >at say 1.5 times that of person A. This may mean that no voice band can
- >subsequently be matched with person D based on the initial match of
- >person A.
-
- >A scoring function for the quality of the match exist and the objective
- >is to maximise the score. It has been suggested to me that this falls
- >in the category of being a matching problem as found in Graph Theory.
- >A check through available literature had matching problems which did
- >not make use of additional constraining information.
-
- >My query is whether a matching algorithm which makes use of side
- >constraints exists and if so what are some pointers to it?
- >Also could this be solved (or a valiant attempt made at doing so)
- >by some other scheme aside from exhaustively considering every possible
- >pairing between person and voice band?
-
- Since you're matching one type of thing (voice bands) to another (people),
- your graph is bipartite, and you have an "assignment problem" rather than
- a "matching problem". (This is good, because algorithms for assignment
- and other network-flow problems are easier and more readily available
- than for matching problems)
-
- If I understand your question, the "side conditions" are of the type
- "match band 1 to person A if you match band 2 to person B". This takes
- you out of the realm of network flows. But you still can treat it as
- a linear programming problem. The catch is that the linear programming
- problem may have non-integer optimal solutions. If you happen to get a
- solution in integers (which is not all that unlikely if there are not
- too many of these side conditions), then you've solved your problem.
- Otherwise, you have to go to integer programming.
-
- Hope this helps.
-
- >Any information gratefully accepted.
- >Contact via email or post
-
- >Cheers
- >Paul
- --
- Robert Israel israel@math.ubc.ca
- Department of Mathematics or israel@unixg.ubc.ca
- University of British Columbia
- Vancouver, BC, Canada V6T 1Y4
-