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exactly one unit is placed each time the on-hand inventory decreases by one unit The lead times of the replenishments are independent and identically distributed random variables with mean Establish an equivalence with the Erlang loss model and give expressions for the long-run average on-hand inventory and the long-run fraction of demand that is lost 514 In an electronic system there are c elements of a crucial component connected in parallel to increase the reliability of the system Each component is switched on and the lifetimes of the components have an exponential distribution with mean 1/ The lifetimes of the components are independent of each other The electronic system is working as long as at least one of the components is functioning, otherwise the system is down A component that fails is replaced by a new one It takes an exponentially distributed time with mean 1/ to replace a failed component Only one failed component can be replaced at a time (a) Use a continuous-time Markov chain to calculate the long-run fraction of time the system is down Specify the transition rate diagram rst (b) Does the answer in (a) change when the replacement time of a failed component has a general probability distribution with mean 1/ (Hint : compare the transition rate diagram with the transition rate diagram in the Erlang loss model) 515 Reconsider Exercise 514 but this time assume there are ample repairmen to replace failed components (a) Use a continuous-time Markov chain to calculate the long-run fraction of time the system is down Specify the transition rate diagram rst (b) What happens to the answer in (a) when the replacement time is xed rather than exponentially distributed (Hint : compare the transition rate diagram with the transition rate diagram in the Engset loss model) 516 Suppose you have two groups of servers each without waiting room The rst group consists of c1 identical servers each having an exponential service rate 1 and the second group consists of c2 identical servers each having an exponential service rate 2 Customers for group i arrive according to a Poisson process with rate i (i = 1, 2) A customer who nds all servers in his group busy upon arrival is served by a server in the other group, provided one is free, otherwise the customer is lost Show how to calculate the long-run fraction of customers lost 517 Consider a conveyor system at which items for processing arrive according to a Poisson process with rate The service requirements of the items are independent random variables having a common exponential distribution with mean 1/ The conveyor system has two work stations 1 and 2 that are placed according to this order along the conveyor Workstation i consists of si identical service channels, each having a constant processing rate of i (i = 1, 2); that is, an item processed at workstation i has an average processing time of 1/( i ) Both workstations have no storage capacity and each service channel can handle only one item at a time An arriving item is processed by the rst workstation in which a service channel is free and is lost when no service channel is available at either of the stations Show how to calculate the fraction of items lost and solve for the numerical data = 10, = 1, 1 = 2, 2 = 15, s1 = 5 and s2 = 5 (Answer: 00306) Verify experimentally that the loss probability is nearly insensitive to the distributional form of the service requirement (eg compute the loss probability 00316 for the data when the service requirement has an H2 distribution with balanced means and a squared coef cient of variation of 4) 518 Consider a stochastic service system with Poisson arrivals at rate and two different groups of servers, where each arriving customer simultaneously requires a server from both groups An arrival not nding that both groups have a free server is lost and has no further in uence on the system The ith roup consists of si identical servers (i = 1, 2) and each server can handle only one customer at a time An entering customer occupies the two assigned servers from the groups 1 and 2 during independently exponentially distributed times with respective means 1/ 1 and 1/ 2 Show how to calculate the loss probability.

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A more simplistic solution is to use fixed-point arithmetic, directly mapping floating-point numbers to integers We will just imagine a decimal point between the third and fourth digits The weakness of using fixed-point arithmetic is that you are limited in how many decimal spots you can use after the floating point However, the precision is generally good enough to suit the needs of sprite movement To achieve the best precision, you should use a long integer, because it is the largest numerical format in the Java language Long integers offer 64 bits for floating-point number representation Because most devices have small screens and relatively coarse sprite movement, most sprite math usually involves real numbers in the range between 0001 and 1000000 Because you'll need four digits to represent 1000, its integer value would be 1000 Further, the integer value of 1000000 would be 1000000 Our custom floating-point library must also implement common mathematical functions For example, the trigonometric sine function can be calculated using an interactive formula This approach is very precise if a high enough number of iterations are performed Unfortunately, it is difficult to predict how many loops are needed to calculate sine with precision, and each loop eats up precious time A much faster approach is to use pre-calculated value tables (a list of values) for each function The table for sine can have the results for angle values of 0, 10, 20, and so on, all the way to 90 If a game needs to find the sine of 6 , the library uses linear interpolation to calculate it based n neighboring results The more values that are in the table, the more precise results can be More precision can also be achieved by interpolating through more points Listing 171 implements a basic floating-point library for J2ME Listing 171 The Float Class.

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