The cutwidth is an important graph-invariant in circuit layout designs. The cutwidth of a graph is the minimum value of the maximum number of overlap edges when is embedded into a line. A caterpillar is a tree which yields a path when all its leaves are removed. An iterated caterpillar is a tree which yields a caterpillar when all its leaves are removed. In this paper we present an exact formula for the cutwidth of the iterated caterpillars.
The bandwidth minimization problem is of significance in network communication and related areas. Let be a graph of vertices. The two-dimensional bandwidth
() of is the minimum value of the maximum distance between adjacent vertices when is embedded into an × grid in the plane. As a discrete optimization problem, determining
() is NP-hard in general. However, exact results for this parameter can be derived for some special classes of graphs. This paper studies...
For a 2-connected cubic graph G, the perfect matching polytope P(G) of G contains a special point [...] xc=(13,13,…,13) . The core index ϕ(P(G)) of the polytope P(G) is the minimum number of vertices of P(G) whose convex hull contains xc. The Fulkerson’s conjecture asserts that every 2-connected cubic graph G has six perfect matchings such that each edge appears in exactly two of them, namely, there are six vertices of P(G) such that xc is the convex combination of them, which implies that ϕ(P(G))...
The bandwidth minimization problem is of significance in network communication and related areas. Let be a graph of vertices. The two-dimensional bandwidth
() of is the minimum value of the maximum distance between adjacent vertices when is embedded into an × grid in the plane. As a discrete optimization problem, determining
() is NP-hard in general. However, exact results for this parameter can be derived for some special classes of graphs. This paper studies...
This note is concerned with the bicriteria scheduling problem on a series-batching machine to minimize maximum cost and makespan. An (
) algorithm has been established previously. Here is an improved algorithm which solves the problem in (
) time.
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