Abstract. In an inverse network absolute (or vertex) 1-center location problem the parameters of a given network, like edge lengths or vertex weights, have to be modified at minimum total cost such that a prespecified vertex s becomes an absolute (or a vertex) 1-center of the network. In this article, the inverse absolute and vertex 1-center location problems on unweighted trees with n + 1 vertices are considered where the edge lengths can be changed within certain bounds. For solving these problems a fast method is developed for reducing the height of one tree and increasing the height of a second tree under minimum cost until the heights of both trees become equal. Using this result a combinatorial O(n 2 ) time algorithm is stated for the inverse absolute 1-center location problem in which no topology change occurs. If topology changes are allowed, an O(n 2 r) time algorithm solves the problem where r, r < n, is the compressed depth of the tree network T rooted in s. Finally, the inverse vertex 1-center problem with edge length modifications is solved on T . If all edge lengths remain positive this problem can be solved within the improved O(n 2 ) time complexity by balancing the height of two trees. In the general case one gets the improved O(n 2 r v ) time complexity where the parameter r v is bounded by n.