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_serverSyncProvider.SyncAdapters.Add(builder.ToSyncAdapter()); SqlCommand selectNewAnchorCmd = new SqlCommand { CommandText = ("SELECT @" + SyncSession.SyncNewReceivedAnchor + " = GETUTCDATE()")}; SqlParameter newRecAnchor = new SqlParameter { ParameterName = ("@" + SyncSession.SyncNewReceivedAnchor), DbType = DbType.DateTime, Direction = ParameterDirection.Output}; selectNewAnchorCmd.Parameters.Add(newRecAnchor); _serverSyncProvider.SelectNewAnchorCommand = selectNewAnchorCmd; } public string GetData(int value) { return string.Format("You entered: {0}", value); } public CompositeType GetDataUsingDataContract( CompositeType composite) { if (composite.BoolValue) { composite.StringValue += "Suffix"; } return composite; } public SyncServerInfo GetServerInfo(SyncSession syncSession) { try { Logger.Log("In GetServerInfo()"); return _serverSyncProvider.GetServerInfo(syncSession); } catch (Exception e) { Logger.Log(e.ToString()); throw; } } public SyncContext ApplyChanges(SyncGroupMetadata groupMetadata, DataSet dataSet, SyncSession syncSession) { try { Logger.Log("In ApplyChanges()"); return _serverSyncProvider.ApplyChanges(groupMetadata, dataSet, syncSession); } catch (Exception e) { Logger.Log(e.ToString()); throw; } } public SyncContext GetChanges(SyncGroupMetadata groupMetadata,

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l-i 19 Temperatures are measuredat various pointsona at 0 5 0 0 0 heated plate (Table P1519) Estimate the temperature ( 0 0 0 0 0 ( a ) r : 4 , ) ' : 3 2 , a n d b ) r : 4 3 y : 2 ; 7 1520 Use the portion of the given stearntablefor superheated HrO at 200 MPa to (a) tind the conesponding D e t e r m i n ea l t : 0 2 3 i entropys for a specificvolurne u of 0108 mi/kg with linear l5llJ The acceleration due to gravity at an altitudey above interpolation, find the samecorresponding (b) entropy usrng the surfaceof the earth is given by quadraticinterpolation, and (c) find the volumeconespond ir-rg an entropyof 66 using inverseinterpolation to a 0 01250 624 02500 775 03250 485

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SyncSession syncSession) { SyncContext context; Try { Logger.Log("In EnumerateChanges()"); context = _serverSyncProvider.GetChanges(groupMetadata, syncSession); } catch (Exception e) { Logger.Log(e.ToString()); throw; } return context; } public SyncSchema GetSchema(string[] tableNames, SyncSession syncSession) { try { Logger.Log("In GetSchema()"); Collection<string> tables = new Collection<string>(); foreach (string s in tableNames) { tables.Add(s); } return _serverSyncProvider.GetSchema(tables, syncSession); } catch (Exception e) { Logger.Log(e.ToString()); ApplicationException newex = new ApplicationException( "failed in GetSchema()", e); throw newex; } } } public class Logger { static readonly Object thisLock = new Object(); private const string logfile = @"\wcftestlog.log"; public static void Log(string msg) { using (StreamWriter sw = File.AppendText(logfile)) { sw.WriteLine(DateTime.Now + " : " + msg); sw.Flush(); } } } }

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<system.serviceModel> <services> <service name="Service" behaviorConfiguration="ServiceBehavior"> <endpoint address="" binding="basicHttpBinding" contract="IService"> <identity>

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<dns value="localhost" /> </identity> </endpoint> <endpoint address="mex" binding="mexHttpBinding" contract="IMetadataExchange" /> <host> <baseAddresses> <add baseAddress="http://localhost/WcfSyncService/Service/" /> </baseAddresses> </host> </service> </services> <behaviors> <serviceBehaviors> <behavior name="WcfSyncService.Service1Behavior"> <serviceMetadata httpGetEnabled="True"/> <serviceDebug includeExceptionDetailInFaults="True" /> </behavior> </serviceBehaviors> </behaviors> </system.serviceModel>

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This example involves setting up the client to test the MSF via the WCF service. You need to create a console application and add the two classes in listings 4 and 5. After you have compiled and built the project, add a service reference to the WCF service you created and hosted in IIS.

The primary objectiveof this chapteris to introduceyou to splinesSpecificobjectives and topics coveredare o o ' Understanding that splinesminimize oscillationsby fitting lower-order polynomialsto datain a piecewisefashion Knowing how to developcode to perform a table lookup Recognizingwhy cubic polynomialsare preferable quadraticand higher-order to splines Understanding conditionsthat underliea cubic splinefit the Understanding differences the betweennatural,clamped,and not-a-knotend conditions Knowing how to fit a splineto datawith MATLAB's builrin functions Understanding how mrrltidimensional interpolation implemented is with MATLAB

ln Chap 15 (n - l)th-order polynomialswere used to interpolatebetweenn data points polynomial This For example, for eight points, we can derive a perfect seventh-order (at curve would captureall the meanderings leastup to and including seventhderivatives) suggested the points However,thereare caseswhere thesefunctionscan lead to erroby neous results becauseof round-off error and oscillationsAn alternativeapproachis to of apply lower-orderpolynomialsin a piecewisefashionto subsets datapoints Such connectingpolynomialsare calledsplinefunctions For example, third-order curves employed to connect each pair of data points are Thesefunctionscan be constructed that the connections so calledcubic splines between

using System; using System.Linq; using System.Collections.Generic; using System.Text; namespace SyncSample { public class TestSync { static void Main(string[] args) { ServiceClient svc = new ServiceClient(); string testString = svc.GetData(3); SyncClient client = new SyncClient(); client.SetupAgent(); client.Sync(); } } }

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