It is well-known that the feedback vertex set problem is NP-complete f
or general graphs and even for bipartite graphs [6]. However, this pro
blem can be solved in polynomial time for several special graphs such
as interval graphs and permutation graphs. Convex bipartite graphs are
subclasses of bipartite graphs, and cocomparability graphs are a supe
rclass of permutation graphs and interval graphs. It is interesting to
investigate the complexity of the feedback vertex set problem in coco
mparability graphs and convex bipartite graphs, We develop polynomial
time algorithms for the feedback vertex set problem using dynamic prog
ramming techniques by exploring the structural properties of these two
types of graphs. The paper is organized as follows. In Section 2, we
provide background material. We present an O(\V\(2)\E\)lime algorithm
for finding a minimum weight feedback vertex set on a cocomparability
graph G = (V, E) in Section 3 and an O(\A\(3) + \A\(2)\E\) time algori
thm for the same problem on a convex bipartite graph G = (A, B, E) in
Section 4.