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The Read and Write methods necessary for UserDefined serialization seem to be somewhat mystifying due to the lack of a clear explanation in the documentation Unfortunately, this may lead some developers in particular, those developers trying to find their way from T-SQL to NET programming to lock into native serialization to avoid what they don t understand This may actually be a good thing for infrequently used UDTs that are used as an aid to implementing business rules However, native serialization may be a restricting factor for the UDTs where performance is most important For example, consider how useful it may be to sort a geo-spatial coordinate according to geographical attributes such as continent, country, state, and township Similarly, consider how useful it might be to serialize IPv4 values by octet, rather than as a string Native serialization does not lend itself to such custom sorting needs.



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The UserDefined serialization provides a lot of flexibility in how data can be moved and stored Visual Studio s documentation provides a much better discussion of serialization than is found in the SQL Server CLR integration documentation Unfortunately, even the Visual Studio documentation requires readers to make a conceptual stretch to apply the general discussion of serialization in the NET Framework as it applies to complex business objects to the specialized SQL Server UDT that requires only the Read and Write methods and where business object complexity is discouraged Serialization is nothing more than encoding the values of all member fields of a structure or class instance into a positional stream of bits for a transport or copy operation.





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ColNum: the ProbabilityMap column of the cell to be set Price: the price location of the cell within the column Value: a numeric expression representing the intensity of the cell PM_SetCellValue(5,80,10) ; {sets intensity of cell to 10}

It is somewhat obscure to recognize that all the fields, public and private, need to be loaded and sent on the stream, although it is only necessary for the developer to explicitly serialize enough of the member fields to allow the state of the instance to be exactly recreated when the stream is deserialized at the other end of the transport or copy operation In the IP address examples available for this chapter, one of the types uses UserDefined serialization The four-byte private fields must be always presented in the exact same sequence in order to ensure that the same IP address is always expressed The consequences of misordering the IP octets or dropping one in transport and trying to use the incomplete or incorrect data are obvious to anyone with a rudimentary exposure to TCP/IP networking.

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where (xm, -xm) are the minima of equation (1.6). The solution is once again a family of lines crossing the domain. The many disadvantages to the calculus approach make it an unlikely candidate to solve most optimization problems encountered in the real world. Even though it is impractical, most numerical approaches are based on it. Typically an algorithm starts at some random point in the search space, calculates a gradient, and then heads downhill to the bottom. These numerical methods head downhill fast; however, they often nd the wrong minimum (a local minimum rather than the global minimum) and don t work well with discrete variables. Gravity helps us nd the downhill direction when hiking, but we will still most likely end up in a local valley in the complex terrain. Calculus-based methods were the bag of tricks for optimization theory until von Neumann developed the minimax theorem in game theory (Thompson, 1992). Games require an optimum move strategy to guarantee winning. That same thought process forms the basis for more sophisticated optimization techniques. In addition techniques were needed to nd the minimum of cost functions having no analytical gradients. Shortly before and during World War II, Kantorovich, von Neumann, and Leontief solved linear problems in the elds of transportation, game theory, and input-output models (Anderson, 1992). Linear programming concerns the minimization of a linear function of many variables subject to constraints that are linear equations and equalities. In 1947 Dantzig introduced the simplex method, which has been the workTEAM LinG - Live, Informative, Non-cost and Genuine !

Serialization will guarantee the order and quality of the data between the database and the client In the Read member method, it is necessary only to load the fields into the BinaryReader Then, in the Write method, the fields must be deserialized from a BinaryWriter in the exact same order used in the Read method:.

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