Trees are used to represent the evolutionary relationship of species. An evolutionary tree is a edge-weighted tree with each leaf representing one species. The distance between two leaves on the tree represents the dissimilarity of these two species. An important issue in computational biology is to construct the evolutionary tree from the observed dissimilarities.
Let N = {1..n}. An n*n matrix M is a metric over N if it is symmetric, nonnegative, and M[i, j] + M[j, k] >= M[i, k] for any 1<= i, j, k <=n (i.e., triangle inequality). A metric is a tree metric if it can be realized by a tree, i.e., there exists an edge-weighted tree T such that
1. the leaf set is N;
2. the weight of each edge is nonnegative;
3. and d(T, i, j) = M[i, j] for any i, j <= N, where d(T, i, j) is the shortest path length between i and j on the tree T.
For example, the following matrix is a tree metric. The corresponding tree is given in Figure 8.
The size of a tree is defined to be the total weight of the tree edges. For a tree metric, it has been shown that the tree size is unique, i.e., it is impossible to find two trees of different sizes realizing the same tree metric. Your task is to design a program to compute the tree sizes of the given tree metrics. The following simple example may be helpful. For the case of only two species, the tree has only one edge and the tree size is just the distance between the two species. Let us consider the case of three species a, b, and c. Let T be the corresponding tree. Since T has three leaves, there is an internal node x. By definition, the path length d(T, a, b) = M[a, b]. Since x is a vertex on the path between a and b, all we need to do is to determine the weight (length) of edge (x, c). Let w(x, c) denote the weight of edge (x, c). We have
w(x, c) + w(x, a) = M[a, c],
w(x, c) + w(x, b) = M[b, c],
and w(x, a) + w(x, b) = M[a, b].
Therefore, w(x, c) = (M[a, c] +M[b, c] -M[a, b])/2.