We give a constant factor approximation algorithm for the asymmetric
traveling salesman problem when the underlying undirected graph of the
Held-Karp linear programming relaxation of the problem has orientable bounded
genus. Our result also implies the weak version Goddyn's conjecture on the
existence of thin trees on graphs with orientable bounded genus.
We study the problem of maximizing a stochastic monotone submodular function
with respect to a matroid constraint. We study the adaptivity gap - the ratio
between the values of optimal adaptive and non-adaptive policies - and show
that it is equal to e/(e-1). This result implies that the benefit of adaptivity
is bounded. We also study the myopic policy and show that it is a
1/2-approximation. Furthermore, when the matroid is uniform, approximation
ratio of the myopic policy becomes 1-1/e which is optimum.