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increases as the wire diameter gets smaller, and decreases as the wire diameter gets larger, all other things being equal In a coaxial line, as the center conductor gets thicker, the Zo decreases if the shield stays the same size If the center conductor stays the same size and the shield increases in diameter, the Zo increases For either type of line, the Zo increases as the spacing between wires, or between the center conductor and the shield, gets larger The Zo decreases as the spacing is reduced Solid dielectric materials such as polyethylene reduce the Zo of a transmission line, compared with air or a vacuum, when placed between the conductors

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3 0 0 2 190 0 1 133 3 11 209 9

8

Deriving the diagonal form To morph the echelon matrix into diagonal form, we simply keep playing the game In this case, we want to get 0s in the places that now contain 2, 1, and 133 Let s start with the third element in the first row, currently equal to 1 We can use the third row to attack it Let s divide the third row by 3 to get

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An Example of Zo in Practice In rigorous terms, the ideal characteristic impedance for a transmission line is determined according to the nature of the load with which the line works For a system having a purely resistive impedance of a certain number of ohms, the best line Zo value is that same number of ohms If the load impedance is much different from the characteristic impedance of the transmission line, excessive power is wasted in heating up the transmission line Imagine that you have a so-called 300- frequency-modulation (FM) receiving antenna, such as the folded-dipole type that you can mount indoors Suppose that you want the best possible reception Of course, you should choose a good location for the antenna You should make sure that the transmission line between your radio and the antenna is as short as possible But you should also be sure that you purchase 300- TV ribbon It has a value of Zo that has been optimized for use with antennas whose impedances are close to 300 + j0

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3 0 0 2 190 0 1 133 1 11 209 3

3 0 0 2 190 0 0 133 1 8 209 3

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Impedance matching is the process of making sure that the impedance of a load (such as an antenna) is purely resistive, with an ohmic value equal to the characteristic impedance of the transmission line connected to it This concept will be discussed in more detail in the next chapter

Over the past seven chapters we have developed algorithms for nding shortest paths and minimum spanning trees in graphs, matchings in bipartite graphs, maximum increasing subsequences, maximum ows in networks, and so on All these algorithms are ef cient, because in each case their time requirement grows as a polynomial function (such as n, n 2 , or n3 ) of the size of the input To better appreciate such ef cient algorithms, consider the alternative: In all these problems we are searching for a solution (path, tree, matching, etc) from among an exponential population of possibilities Indeed, n boys can be matched with n girls in n! different ways, a graph with n vertices has nn 2 spanning trees, and a typical graph has an exponential number of paths from s to t All these problems could in principle be solved in exponential time by checking through all candidate solutions, one by one But an algorithm whose running time is 2n , or worse, is all but useless in practice (see the next box) The quest for ef cient algorithms is about nding clever ways to bypass this process of exhaustive search, using clues from the input in order to dramatically narrow down the search space So far in this book we have seen the most brilliant successes of this quest, algorithmic techniques that defeat the specter of exponentiality: greedy algorithms, dynamic programming, linear programming (while divide-and-conquer typically yields faster algorithms for problems we can already solve in polynomial time) Now the time has come to meet the quest s most embarrassing and persistent failures We shall see some other search problems, in which again we are seeking a solution with particular properties among an exponential chaos of alternatives But for these new problems no shortcut seems possible The fastest algorithms we know for them are all exponential not substantially better than an exhaustive search We now introduce some important examples 229.

Let s make the number 133 vanish We can use the third row as the weapon here If we multiply the third row by 133, we get

3 0 0 2 190 0 0 133 133 8 209 399

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