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Figure 9-27. Add the parent node s G cost (10) to the cost of traveling up one node (10) to find the new G cost (20). If it finds that the new cost is lower, A* changes the node s parent to the current parent: if(newG < oldG) { surroundingNode.parent = currentParent; } else { don't change the surrounding node's parent } But if the new G cost is more expensive, the node s parent doesn t change. That s the case in this example. It will keep the same parent that it was assigned in the first step, which was the start node. The current parent node that we re checking is left out in the cold. This is very important because A* creates the path by linking nodes together through their parents, like a chain. A* runs this same check with all the other surrounding nodes, and calculates their new G costs based on what they will be if they need to run through the new parent, as shown in Figure 9-28.

11-2. Filtering an Entity Collection Using a Model Defined Function.............................397

The -a indicates that the setting will apply to all settings modes for a computer: it will apply to the system when on battery, when we re plugged in, or when we are running on

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Figure 9-28. Find out if any of the G costs of the other nodes are less by routing the path through this current parent. They re not. As you can see from Figure 9-28, the G costs of all the nodes will be higher by going through the current parent. That means that none of them will change their parent to the current parent. The current parent is toast! It has no children, so it s definitely not going to be part of the shortest path. But A* still needs to figure out which node to test next. It ignores wall nodes and the previous parent node. It chooses the next node with the lowest F cost as the new parent node, as shown in Figure 9-29.

Problem ................................................................................................................................................ 397 Solution ................................................................................................................................................ 397 How It Works ........................................................................................................................................ 400

UPS backup power. You can change settings for only a specific state with the following flags, which fall into the first positional parameter:

Figure 9-29. The surrounding node with the lowest F cost becomes the new parent node. But what happens if some of the nodes have the same cost You can see from Figure 9-28 that the nodes directly above and below the parent are tied for first place, each with the same low score of 54. In this case, A* chooses whichever node comes up first in the loop that runs this check. If it happens to be the wrong one, this will be corrected later by further checks. But by pure

The next parameter you ll pass to the command is the option (argument) for that power setting that you would like to send. Here you can set the number of minutes before the display goes to sleep, the brightness at various power settings, and other options that have a direct effect on power behavior. These include the following:

In Listing 3-2, we add three Students to the object context and save them to the database using SaveChanges().

chance, this time the first node with the lowest score also happens to be the better choice. It s chosen as the new parent node, and A* continues checking. It s also quite likely that there will be more than one possible shortest path. The one A* builds is determined by how it selects nodes whose costs are tied. We ve currently tested two nodes, and have selected a third, as you can see from Figure 9-30.

acwake: Wake when the system is connected to power; it s a 0 or 1. autorestart: Automatically restart when there s been a power loss (when the system is plugged in); use 0 or 1. disksleep: Number of minutes before the disk spins down. displaysleep: Number of minutes before the computers monitor (signal

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