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) We call such a rounding scheme a consistent rounding This looks very numerical, right You might not immediately think of graphs or network flows Actually, this problem is easier to solve if we first introduce lower bounds on the flow in each edge, in addition to the capacity (which is an upper bound) This gives us a new initial hurdle: finding a feasible flow with respect to the bounds Once we have a feasible flow, finding a maximum flow can be done with a slight modification of the Ford-Fulkerson approach, but how do we find this feasible initial flow This is nowhere near as easy as finding a feasible flow with respect to supplies and demands I ll just sketch out the main idea here for details, consult Section 43 in Graph Theory, by Douglas B West, or Section 67 in Network Flows, by Ahuja et al.

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Listing 5-10. A New Index Page (index.gsp)

The first step is to add an edge from t to s with infinite capacity (and a lower bound of zero) We now no longer have a flow network, but instead of looking for a flow, we can look for a circulation A circulation is just like a flow, except that it has flow conservation at every node In other words, there is no source or sink that is exempt from the conservation The circulation doesn t appear somewhere and disappear somewhere else, it just moves around in the network We still have both upper and lower bounds, so our task is now to find a feasible circulation (which will give us the feasible flow in the original graph) If an edge e has lower and upper limits l(e) and u(e), respectively, we define c(e) = u(e) - l(e).

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The term cursor is often used in conjunction with SELECT statements and the iterative fetching of rows returned by queries. However, the ORACLE DBMS uses cursors to execute any SQL or PL/SQL statement, not just SELECT statements. SQL and PL/SQL statements in a trace file are identified by their cursor number. Cursor numbers for SQL statements sent by clients start at 1. The cursor number is the figure behind the pound sign (#) in entries such as PARSING IN CURSOR #1, PARSE #1, EXEC #1, FETCH #1, WAIT #1, and STAT #1. These examples all refer to the same cursor number 1. Each additional SQL statement run by the client receives another cursor number, unless reuse of a cursor number is taking place after the cursor has been closed. Entries relating to the same statement are interrelated through the cursor number. Not all operations executed are assigned a proper cursor number. One notable exception is the use of large objects (LOBs) through Oracle Call Interface (OCI). When working with LOBs, you may see cursor number 0 or cursor numbers for which a parse call is missing, although tracing was switched on right after connecting. This does not apply to the PL/SQL LOB interface DBMS LOB. Cursor numbers may be reused within a single database session. When the client closes a cursor, the DBMS writes STAT entries, which represent the execution plan, into the trace file. At this stage, the cursor number can be reused for a different SQL statement. The SQL statement text for a certain cursor is printed after the first PARSING IN CURSOR #n entry above any EXEC #n, FETCH #n, WAIT #n, or STAT #n entries with the same cursor number n.

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01 02 03 04 05 06 07 08 09 10 11 12 13 14 <html> <head> <title>Welcome to Collab-Todo</title> <meta name="layout" content="main" /> </head> <body> <h1 style="margin-left:20px;">Welcome to Collab-Todo</h1> <p style="margin-left:20px;width:80%"> Welcome to the Collab-Todo application. This application was built as part of the Apress Book, "Beginning Groovy and Grails." Functionally, the application is a collaborative "To-Do" list that allows users and their buddies to jointly manage "To-Do" tasks.</p><br /> <p style="margin-left:20px;width:80%">Building the Collab-Todo

(The naming choice here reflects that we ll be using this as a capacity in a little while) Now, for each node v, let l -(v) be the sum of the lower bounds on its in-edges, while l +(v) is the sum of the lower bounds on its out-edges Based on these values, we define b(v) = l -(v) - l +(v) Because each lower bound contributes both to its source and target node, the sum of b values is zero Now, magically enough, if we find a feasible flow with respect to the capacities c and the supplies and demands b (as discussed for the previous problem), we will also find a feasible circulation with respect to the lower and upper bounds l and u Why is that A feasible circulation must respect l and u, and the flow into each node much equal the flow out.

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