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xhibit 3.1 is repeated from 2, because it reminds us what data we need if we are going to do credit portfolio modeling and management. We are going to need data on the probability of default for the obligors. For the individual facilities, we are going to need data on utilization and recovery in the event of default. And we need data on the correlation of defaults or we need some way to incorporate this in the credit portfolio model. (As we describe brie y in the nal section of this chapter and see in 4, correlation is handled within the credit portfolio models.)

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extended to general latency functions and studied with respect to different de nitions of social cost [36,37,63] Inspired by the arisen interest in the price of anarchy, the much older Wardrop model was reinvestigated in the work by Roughgarden and Tordos[88] (see also references therein) In this weighted network congestion game, weights can be split into arbitrary pieces The social welfare of the system is de ned as the sum of the edge latencies (sum or total social cost) An equilibrium in the Wardrop model can be interpreted as a Nash equilibrium in a game with in nitely many players, each carrying an in nitesimal amount of weight There has been a tremendous amount of work following the work by Roughgarden and Tordos[88] on the reinvestigation of the Wardrop model For an exposition, see the book by Roughgarden [86], which gives an account of the earliest results.

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Koutsoupias and Papadimitriou [60] initiated a systematic investigation of the social objective of (expected) maximum latency (also called maximum social cost) for a weighted congestion game on uniformly related parallel links The price of anarchy for this game has been shown to be (log m/log log m) if either the users or the links are identical [18,59], and (log m/log log log m) for weighted users and uniformly related links [18] On the contrary, Czumaj et al [17] showed that the price of anarchy is far worse and can be even unbounded for arbitrary latency functions For uniformly related parallel links, identical users, and the objective of total latency, the price of anarchy is 1 o(1) for the general case of mixed equilibria and 4/3 for pure equilibria [63] For identical users and polynomial latency functions of degree d, the price of anarchy is d (d) [8,15].

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79 F M D Heurle, Electromigration and Failure in Electronics, An Introduction, Proc IEEE, vol 59, no 10, pp 1409 1418, 1971 80 N V Doan, Effect de Valence en Electromigration Dans L argent, J Phys Chem Solids, vol 31, pp 2079 2085, 1970 81 D Chhabra, N Ainslie, and D Jepsen, Theory of Failure in Thin Film Conductors, paper presented at the Electrochemical Society Meeting, Dallas, TX, May 1967 82 W Mutter, Electromigration in Metal Film Conductors, Abstracts, Electrochemical Society Spring Meeting, Dallas, TX, May 1967, pp 96 98 83 J R Black, Electromigration A Brief Survey and Some Recent Results, IEEE Trans Elec Dev, vol ED-16, pp 338 347, Apr 1967 84 J R Devaney, Investigated of Current-Induced Mass Transport in Thin Metal Conducting Stripes, in Proceedings of the Third Scanning Electron Microscope Symposium, O Johaii, Ed, Chicago, Apr 1970, pp 417 424 85 D S.

Christodoulou and Koutsoupias [15] consider the price of anarchy of pure Nash equilibria in congestion games with linear latency functions They showed that for general (asymmetric) games, the price of anarchy for maximum social cost is ( n), where n is the number of players For all other cases of symmetric or asymmetric games, and for both maximum and average social cost, the price of anarchy is shown to be 5/2 Similar results were simultaneously obtained by Awerbuch et al [15] 1022 Pearls.

where R i, S i, R i, and S i are values as in expression (1) taken in a year i and summed by i from the year the patent issued until it expires. Thus, the patent value is the sum of the incremental values of the public franchise on an annual basis over the life of the patent.Written in another way

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