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Algorithms C and D only give good assignments for weight vectors with specific properties, but they can be combined to give near-optimal algorithms for any weight vector How they are combined will depend on the relation between the parameters First, note that Algorithm C is optimal if c0 cR = 2nc1/(n 1) If 2c1 c0 < cR, then Algorithms A, C, and D can be combined to give a linear time algorithm with performance ratio 1 + 1/(4n 3), where n is the number of nodes in the cycle The algorithm is described below Given a weight vector w, compute = v V w(v) (n 1)wmax If 0, Algorithm D is used, with spectrum [0, c0 wmax] The span is at most c0wmax, which is within a constant of lower bound (52), so the assignment is optimal.

discussions on the crisis have served to recast matters of epistemology within disciplines, then we might well take this one step further to consider how the timeworn narrative of a sociological social psychology versus a psychological social psychology simply no longer makes good sense historical or otherwise Social psychology in the twenty- rst century is perhaps no more uniform than it was in the mid-1950s, or at its outset, but this diversity of interests and approaches, including discursive, feminist, sociocultural, hermeneutic, ecological, critical, narrative, and the newer technocultural studies, is part and parcel of this working out of boundaries and problematics To overlook this history is to run into the same trouble of assuming social psychology weathered storms of debate and change, arriving in the twenty- rst century stronger but basically unchanged.

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having a weighted score for true or false. A score range is established and within the range, subranges are set for pass, fail, and review. On the plus side, they can mix positive and negative factors and get quite sophisticated with scoring. On the negative side, this requires a lot of research and maintenance to ensure it doesn t hurt sales. It typically has a longer learning curve.

If instead > 0, Algorithm C is combined with either Algorithm A or D to derive an assignment Denote by f1 the assignment computed by Algorithm C for (G, w ) where w (v) = min{w(v), } This assignment has span at most cR Consider the remaining weight w after this assignment Clearly wmax = wmax We will denote by f2 the assignment for (G, w), and compute it in two different ways depending on a key property of w If there is a node v with w(v) = 0 at this stage, we have a bipartite graph left Then f2 is the assignment computed by Algorithm A for (G, w) This assignment has a span of at most c0wmax If all nodes have nonzero weight, then Algorithm D is used to compute f2, the assignment for (G, w).

Or, conversely, that social psychology s history is one of increasing emphasis on the individual, going from social to asocial, and a narrowing of de ned scienti c practices (Samelson) But as Franz Samelson (2000) found, neither of these histories suf ces, for each eclipses the broader and more local engaging questions And, as Jill Morawski (2000) writes in her assessment of theory biographies, few of psychology s leading lights seemed to con ne themselves to some hypothetical, tidy box of social psychological theory and research Seen historically, their work addressed connections of theory and practice, theory and value, and theory and social control consequences, however intended or unintended.

It can be shown that in this case, = 2wmax, so this assignment also has a span of at most c0 /2 = c0wmax Thus, in either case, f2 has span at most c0wmax The two assignments f1 and f2 are then combined by adding cR + c0 to every channel in f2, and then merging the channel sets assigned by f1 and f2 at each node This gives a final assignment of span at most (cR c0) + c0wmax + c0 Using the lower bounds (52) and (53), it can be shown that the performance ratio of the algorithm is as claimed If c0 < 2c1, Algorithms B and C can be combined into a linear time approximation algorithm with performance ratio 1 + 1/(n 1), where n is the number of nodes in the cycle The combination algorithm is formed as follows.

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