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At points of discontinuity, the gradient is not defined; again, a stepping direction cannot be determined Even if a method does not explicitly use gradient information, such information is employed implicitly by the optimization algorithm Unfortunately, many fitness functions of interest to traders-including, for instance, all functions that involve net profit, drawdown, percentage of winning trades, risk-to-reward ratios, and other like items-have plateaus and discontinuities They are, therefore, not tractable using analytic methods Although the discussion has centered on the maximization of fitness, everything said applies as well to the minimization of cost Any maximization technique can be used for minimization, and vice versa: Multiply a fitness function by - 1 to obtain an equivalent cost function; multiply a cost function by - 1 and a fitness function is the result.



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Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.





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works there is no predetermined path from the source to the destination There is no call setup packet; all data packets are treated independently, and the switches perceive no relationship between them as they arrive hence the name, connectionless Every packet carries a complete destination address, since it cannot rely on the existence of a preestablished path created by a call setup packet When a packet arrives at the ingress switch of a connectionless network, the switch examines the packet s destination address Based on what it knows about the topology of the network, congestion, cost of individual routes, distance (sometimes called hop count), and other factors that affect routing decisions, the switch will select an outbound route that optimizes whatever parameters the switch has been instructed to concern itself with Each switch along the path does the same thing.

If a minimization algorithm takes your fancy, but a maximization is required, use this trick to avoid having to recode the optimization algorithm Linear Programming.

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For example, let s assume that the first packet of a message, upon arrival at the ingress switch, would normally be directed out physical port number 7 because, based upon current known network conditions, that port provides the shortest path (lowest hop count) to the destination However, upon closer examination, the switch realizes that while port 7 provides the shortest hop count, the route beyond the port is severely congested As a result, the packet is routed out port 13, which results in a longer path but avoids the congestion And since there is no preordained rout through the network, the packet will simply have to get directions when it arrives at the next switch Now, the second packet of the message arrives Because this is a connectionless environment, however, the switch does not realize that the packet is related to the packet that preceded it.

Timer(TimerCallback, object state, TimeSpan dueTime, TimeSpan period): Same as the Int32 version, but uses a TimeSpan to make it easier to specify lengths of time such as seconds or minutes Timer(TimerCallback, object state, UInt32 dueTime, UInt32 period): Same as the Int32 version, but instead uses unsigned integers to represent the due time and period..

The switch examines the destination address on the second packet, then proceeds to route the packet as it did with the preceding one This time, however, upon examination of the network, the switch finds that port 7, the shortest path from the source to the destination, is no longer congested It therefore transmits the packet on port 7, thus ensuring that packet two will, in all likelihood, arrive before packet one! Clearly, this poses a problem for message integrity and illustrates the criticality of the Transport Layer, which, you will recall, provides end-to-end message integrity by reassembling the message from a collection of out-of-order packets that arrive with varying degrees of delay because of the vagaries of connectionless networks Connectionless service is often called unreliable because it fails to guarantee delay minimums, sequential delivery, or for that matter, any kind of delivery.

The techniques of linear programming are designed for optimization problems involving linear cost or fitness functions, and linear constraints on the parameters

This causes many people to question why network designers would rely on a technology that guarantees so little The.

Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

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