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xbar fznum :x-centroid xpos fzset :word equivalent of xbar (FAR-LEFT LEFT CENTER RIGHT FAR-RIGHT) ybar fznum :y-centroid ypos fzset :word equivalent of ybar (VERY-HIGH HIGH MIDDLE LOW VERY-LOW) border str :YES or NO class fzset :classifications ( ARTIFACT :artifact LUNG :lungs LA :left atrium LV :left ventricle LA + LV :merged left atrium and ventricle RA :right atrium RV :right ventricle RA + RV :merged right atrium and ventricle LA + LV + RA + RV :all four chanbers artifactually merged ) final str; :final classification A few more classi cations were actually used, but most are included above. We also add a declaration, used by a metarule to control rule block ring that holds the currently enabled rule block: :rule firing control declare Enable block int; and a data element to sequence output by region numbers: :printout control declare Print rnum int; To simplify the program, we used the technique rst met in auto2.fps of putting expert knowledge in a database. But this time we will use the database knowledge to generate the actual rules for classi cation automatically. Remember that a rule can have any FLOPS command in its consequent; this includes the rule command itself, so a rule can generate other rules. :definitions for creating classification rules declare Classdef

that contains all edges of G (viewing edge {u, uv } as edge {u, v}) Finally, tree TG is partitioned into subtrees, each of which has at most k edges The algorithm is shown in Figure 1812 As shown in the work by Goldschmidt et al [26], the number of edges in each subtree obtained from the partition is between k/2 and k This implies that E(G) is partitioned into at most 2|E(G)|/k subsets Since each subtree is a connected graph, the subtree has at most (k + 1) nodes Thus, we have the following result Theorem 10 (Goldschmidt et al [26]) The traf c grooming problem on an arbitrary traf c graph G can be solved using at most 2|E(G)|/k colors and at most (1 + 2/k)|E(G)| SADMs.

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Gates, R D, de Esnaola, S A, Kroupin, G, Stewart, C C, van Dulmen, M, Xiong, B, et al (2000) Diversity of new American families: Guidelines for therapists In W C Nichols, M A Pace-Nichols, D S Becvar, & A Y Napier (Eds), Handbook of family development and intervention (pp 299 322) New York: Wiley Goldscheider, F, Thornton, A, & Young-Demarch, L (1993) A portrait of the nest-leaving process in early adulthood Demography, 30 694 699 Gottman, J (1994) Why marriages succeed or fail: What you can learn from the breakthrough research to make your marriage last New York: Simon & Schuster Haley, J (1973) Uncommon therapy: The psychiatric techniques of Milton H Erickson, MD New York: Norton Hollingshead, A B (1950) Cultural factors in the selection of marriage mates American Sociological Review, 15, 619 627 Howells, J G (1975).

be the wealth after n days using the constant rebalanced portfolio b . Then 1 log Sn W n with probability 1. (16.4)

Principles of family psychiatry New York: Brunner/Mazel Johnson, M P, Caughlin, J P, & Huston, T L (1999) The tripartite nature of marital commitment: Personal, moral, and structural reasons to stay married Journal of Marriage and the Family, 61, 160 177 Jones, W H, Adams, J M, & Berry, J O (1995) A psychometric exploration of marital satisfaction and commitment Journal of Social Behavior and Personality, 10, 923 932 Kantor, D, & Lehr, W (1975) Inside the family New York: HarperColophon Kreider, R M, & Fields, J M (2001) Number, timing and duration of marriages and divorces: Fall 1996 (Current population reports, pp 70 80) Washington, DC: US Census Bureau Kubie, L (1956) Psychoanalysis and marriage In V Eisenstein (Ed), Neurotic interaction in marriage (pp 10 43) New York: Basic Books Lewin, K (1948) The background of conflict in marriage In K.

Lewin (Ed), Resolving social conf licts (pp 84 102) New York: Harper & Row McGoldrick, M, Giordano, J, & Pearce, J K (Eds) (1996) Ethnicity and family therapy (2nd ed) New York: Guilford Press Murstein, B I (1961) The complementary needs hypothesis in newlyweds and middle-aged married couples Journal of Abnormal and Social Psychology, 63, 194 197 Murstein, N (1976) The stimulus-value-role theory of marital choice In H Grunebaum & J Christ (Eds), Contemporary marriage: Structure, dynamics, and therapy (pp 165 186) Boston: Little, Brown Napier, A Y (1988) The fragile bond New York: HarperCollins Napier, A Y (2000) Making a marriage In W C Nichols, M A Pace-Nichols, D S Becvar, & A Y Napier (Eds), Handbook of family development and intervention (pp 145 170) New York: Wiley Nichols, W C (1978) The marriage relationship Family Coordinator, 27, 185 181 Nichols, W.

The number of colors used in the algorithm can be as twice as the minimum in the worst case (each subtree has k/2 edges) The Euler path based partitioning algorithm [7] is given in Figure 1813 In the algorithm, dummy edges are added to the traf c graph G to make every node of G having even degree and then an Euler path of G is found The Eular path is partitioned into segments, each of which has exactly k real edges of G This implies that E(G) is partitioned into |E(G)|/k subsets If the subgraph reduced from the k edges of each subset is connected then there are at most k + 1 nodes in each subgraph However, a subgraph may not be connected due to the removal of dummy edges.

C (1988) Marital therapy: An integrative approach New York: Guilford Press Nichols, W C (1996) Treating people in families: An integrative framework New York: Guilford Press..

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