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Bringing buyers and sellers together reduces the search cost dramatically Assume, for example, that you want to buy a secondhand car Usually, people who want to sell their cars put an advertisement in the classifieds column of a newspaper Potential buyers read this listing and contact the sellers When the basic price details and requirements match, they travel to meet face to face, inspect the car, and sometimes get a mechanic to do an appraisal They negotiate the rates and other terms, and then the sale takes place This entire process takes a couple of days to a week s time Such secondhand car markets are relatively illiquid To improve liquidity in such a market, some secondhand car dealers organize sales where they request all sellers to display their cars in a fair They also organize such meetings online.

First, we insert a JSF commandButton that invokes the switcher.select action listener. Then we insert a JSF selectOneMenu that uses the switcher s selectItems list as its set of choices. The value of the chosen item will be the conversation ID of the workspace, which will be set to the switcher s converstionIdOrOutcome property. If we put the preceding menu into our home page, and then follow the page sequence depicted in Figure 4-6 the result will be the workspace choices shown in Figure 4-12.

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Potential buyers then visit the area (or log on to the Internet) and negotiate terms there and then They also feel comfortable because they can compare all offers simultaneously Suddenly, liquidity increases Such markets have a potential of doing a lot more transactions in the same time frame, which benefits the buyers and the sellers Both incur fewer costs in doing the deal, and both get the best possible price Thus, getting buyers and sellers together improves liquidity, reduces search costs, and increases the confidence of the participants A stock exchange performs precisely this function Stock exchanges worldwide are going through a lot of transformation You probably remember seeing television footage of a typical stock exchange where thousands of traders shout in order to place orders.

since this is a section on optimization, I want to examine the usefulness of one particular extension technique: in-lining Apart from being one of those words that looks like the result of someone trying to cope with a particularly vicious Scrabble hand, in-lining is beneficial as an optimization strategy because it is so in tune with the process of optimization itself We identify a section of oft-run code that needs to be tighter We cannot find algorithmic, linguistic, or even side effect reductive solutions Hence, we endeavor to replace the section of code with a fearsome bit of handoptimized C Note this process could apply to assembler as well, but then only four people would ever be able to maintain your code and all of them live in institutions There is a marvelous gem called RubyInline (as usual, visit 10 for setup details).

Since an exchange s trading floor is a big area and the number of traders is large, how could it then be possible or at least easy for people to find interested counterparties in a particular security What if one trader wanted to transact on a security that is not so popular It wouldn t be easy to find a counterparty In reality, an exchange floor has areas earmarked for each security Traders desirous to trade a certain security have to go to the area demarcated for that security and find counterparties What you usually see on television is traders shouting their bids or offer prices for a particular security Others listen to their prices and commit to transactions when they hear favorable prices Once a transaction is committed, it is immediately recorded manually so that it is honored later even when prices turn against one of the parties..

When a workspace is chosen, the switcher will switch the current conversation context to the chosen one, and then take the user to the view that generated the description of the workspace. So in our case, if we pick the All gadgets matching Apple workspace, that conversation context, including the GadgetAdminBean instance containing the results of the search in its gadgetMatches property, will be restored. Then we ll be taken to the listGadgets.jsp page, which will display the results for us again, as you see in Figure 4-13.

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