We study several multi-criteria undirected network design problems with node costs and lengths. All these problems are related to the Multicommodity Buy at Bulk ( MBB) problem in which we are given a graph G = ( V , E ) , demands { d s t : s , t ∈ V } , and a family { c v : v ∈ V } of subadditive cost functions. For every s , t ∈ V we seek to send d s t flow units from s to t , so that ∑ v c v ( f v ) is minimized, where f v is the total amount of flow through v . It is shown in Andrews and Zhang (2002) [2] that with a loss of 2 − ε in the ratio, we may assume that each s t -flow is unsplittable, namely, uses only one path. In the Multicommodity Cost–Distance ( MCD) problem we are also given lengths { ℓ ( v ) : v ∈ V } , and seek a subgraph H of G that minimizes c ( H ) + ∑ s , t ∈ V d s t ⋅ ℓ H ( s , t ) , where ℓ H ( s , t ) is the minimum ℓ -length of an s t -path in H . The approximability of these two problems is equivalent up to a factor 2 − ε [2]. We give an O ( log 3 n ) -approximation algorithm for both problems for the case of the demands polynomial in n . The previously best known approximation ratio for these problems was O ( log 4 n ) (Chekuri et al., 2006, 2007) [5,6]. We also consider the Maximum Covering Tree ( MaxCT) problem which is closely related to MBB: given a graph G = ( V , E ) , costs { c ( v ) : v ∈ V } , profits { p ( v ) : v ∈ V } , and a bound C , find a subtree T of G with c ( T ) ≤ C and p ( T ) maximum. The best known approximation algorithm for MaxCT (Moss and Rabani, 2001) [18] computes a tree T with c ( T ) ≤ 2 C and p ( T ) = Ω ( opt / log n ) . We provide the first nontrivial lower bound on approximation by proving that the problem admits no better than Ω ( 1 / ( log log n ) ) approximation assuming NP ⊈ Quasi(P) . This holds true even if the solution is allowed to violate the budget by a constant ρ , as was done in [18] with ρ = 2 . Our result disproves a conjecture of [18]. Another problem related to MBB is the Shallow Light Steiner Tree ( SLST) problem, in which we are given a graph G = ( V , E ) , costs { c ( v ) : v ∈ V } , lengths { ℓ ( v ) : v ∈ V } , a set U ⊆ V of terminals, and a bound L . The goal is to find a subtree T of G containing U with diam ℓ ( T ) ≤ L and c ( T ) minimum. We give an algorithm that computes a tree T with c ( T ) = O ( log 2 n ) ⋅ opt and diam ℓ ( T ) = O ( log n ) ⋅ L . Previously, a polylogarithmic bicriteria approximation was known only for the case of edge costs and edge lengths.
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