Matching with One-sided Preferences

Question

I'm dealing with a slight variation on a classic matching problem on sets $A$ and $B$), where:

• Set $A$ has an incomplete set of preferences (not all of $B$ is included)
• Set $B$ has no preferences whatsoever.

I want to find an $A$-optimal matching (e.g, for any $(a_1 \rightarrow b_1), (a_2 \rightarrow b_2)$, then either $b_2$ is lower than $b_1$ or does not appear in $a_1$'s preferences, and likewise for $a_2$) between $A$ and $B$, respecting $A$'s preference lists, and where ties between members of $A$ are broken randomly. I've been trying to apply the Gale Shapely algorithm to this problem, with random preferences for B, but it appears to have degenerate cases where the above criterion is violated.

A pre-rolled solution to this problem seems to be somewhat elusive, potentially because it's so obvious. There's a related SO question, Stable marriage problem with only one side having preferences, which states the no-preference issue, but the answers only cover how to check for a perfect matching, which does not necessarily guarantee the optimality of the result with respect to $A$'s preferences. Is there an algorithm that produces an $A$-optimal matching?

Answer 1

We can suppose without loss of generality that the elements of $A$ have complete sets of preferences (if an element of $A$ is indifferent to some elements of $B$, we put them at the bottom of the element's preference list).

Our goal would be to match elements of $A$ and elements of $B$ such that the resulting matching is stable in the following sense. For any two elements $a_1,a_2 \in A$, either $a_1$ prefers its current match to that of $a_2$, or $a_2$ prefers its current match to that of $a_1$.

Here are two different algorithms for solving the problem. The first uses a greedy approach. Order the elements of $A$ arbitrarily: $A = a_1,\ldots,a_n$. Let $a_1$ choose its top pick, let $a_2$ choose the top available pick, and so on. This results in a stable matching since if $i < j$ then $a_i$ prefers its current match to that of $a_j$.

A different approach, more similar to the Gale-Shapley algorithm, is iterative. Start with an arbitrary matching $f$. If there is a pair $a_1,a_2$ in which $a_1$ prefers $f(a_2)$ over $f(a_1)$ and $a_2$ prefers $f(a_1)$ over $f(a_2)$, then switch $f(a_1)$ and $f(a_2)$. This decreases the objective function $\Phi$ which is the sum over $i$ of the index of $f(a_i)$ in $a_i$'s preference list. Since $n \leq \Phi \leq n^2$ and $\Phi$ is an integer, we deduce that this algorithm terminates in $O(n^2)$ rounds.