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with suitably differentiable functions f and g, we can measure the sensitivity of x = x(t) and y = y(t) to small changes in the parameter a by computing time histories of the parameter-sensitivity coefficients u(t) x/ a and v(t) y/ a Differentiation of the system equations (4-1) with respect to the parameter a produces the differential-equation system

Mr Senior Developer decides that this finder method will return an enumeration with references to all the records that match the criteria, instead of a collection Using the Collections API defined in JDK 12 is probably more efficient, but it is not available in JDK 11, As the Wonder Team wants to experiment with both versions of the JDK, enumeration will provide backwards compatibility What's interesting is that the developers do not have to program the finder methods They just define the condition in the deployment descriptor and the signature in the home interface During the deployment process the classes wiil be generated automatically

The remote interface is very simple:

(4-2)

package invport import jswcQ5; javarmiRenioteException; javaxejb *,-

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Advanced Dynamic-system Simulation: Model-replication Techniques and Monte Carlo Simulation By Granino A Korn Copyright 2007 by John Wiley & Sons, Inc

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* This is the Remote Interface for the Entity EJB <tt>OrderMasterEB</tt> * * Ssee jswcOSOrderMaster * @see jswcOSOrderMasterEBHome * @see jswcOSOrderMasterEBPK * @see jswc05OrderMasterEBBean */ public interface OrderMasterEB extends EJBObject { /** * Returns the OrderMaster information of this Entity EJB */ public OrderMaster getOrderMaster() throws RemoteException; /** * Sets the OrderMaster information of this Entity EJB * @exception P2GException * If the given OrderMaster <tt>or_number</tt> field * does not match the primary key that is in the Entity EJB */ public void setOrderMaster(OrderMaster OrderMaster) throws RemoteException, P2GException; }

Here only two methods are defined: Q Q One to obtain the data related to a specific order_master record Another to commit new data to a specific order_master record

In principle, the parameter-sensitivity equations (4-2) can be solved together with the given system equations (4-1) to produce time histories of u and v Parameter-influence coefficients are theoretically interesting But for a system with N equations [Eq (4-1)], in general, 2N equations (4-1) and (4-2) have to be solved even when only the sensitivity of one system variable to a single parameter is needed Even that reveals only effects of small parameter changes It is usually easier to just solve the given system equations for different parameter combinations (Sections 4-2 and 4-3) Monte Carlo simulation with randomly perturbed parameter values (Section 4-4) is also a form of parameter-influence study and permits, for instance, statistical regression of performance measures on parameter values [1] 4-2 Repeated Runs and Model Replication (Vectorization)

This type of proposition speci es that, when a speci c event occurs and a speci c condition is true, then that triggers a set of events (which are policy-de ned events) within a prede ned period of time speci c to the application with the valuation of tk for each attribute mk The strength of the PDL language is its exibility in de ning events in policies Events can be either of two types They can be a basic simple event or they can be complex events that include several events within a prespeci ed period of time Complex events include the following: 1 e1 & e2 & & en, which means that all events occurred within the prespeci ed period of time; 2 e1 j e2j jen, which means that any of the events occurred within the prespeci ed period of time; 3 !e, which means that there was no occurrence of the event within the prespeci ed period of time; 4 ^e, which means that there was a sequence of one or more occurrences of the event Additional complex events are de ned in [109] and are omitted here for brevity Some complex functions are also de ned and can be used when stating conditions in policies For example, the function Count counts the number of occurrences of a speci c event within the prespeci ed period of time Functions Min, Max, Sum, and Avg can also be used for specifying the number of occurrences of a type of event Below is an example policy based on the discussion in [109] The policy shown below de nes a policy-de ned event as de ned earlier called response_mode The goal of this policy is to trigger a response once the system is receiving a large number of alerts from the IDS The response_mode event is triggered as follows:.

In general, these kinds of methods in an entity bean are called accessor methods The bean implementation starts with the following declarations, including those for its primary key:

package j swc 0 5;

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