Richard M. Karp, Raymond E. Miller
Journal of Computer and System Sciences
We present a number of positive and negative results for variants of the matroid secretary problem. Most notably, we design a constant-factor competitive algorithm for the "random assignment" model where the weights are assigned randomly to the elements of a matroid, and then the elements arrive on-line in an adversarial order (extending a result of Soto, SODA 2011, pp. 1275-1284, 2011). This is under the assumption that the matroid is known in advance. If the matroid is unknown in advance, we present an O(logrlogn)-approximation, and prove that a better than O(logn/loglogn) approximation is impossible. This resolves an open question posed by Babaioff et al. (SODA 2007, pp. 434-443, 2007). As a natural special case, we also consider the classical secretary problem where the number of candidates n is unknown in advance. If n is chosen by an adversary from {1,.,N}, we provide a nearly tight answer, by providing an algorithm that chooses the best candidate with probability at least 1/(H N-1+1) and prove that a probability better than 1/H N cannot be achieved (where H N is the N-th harmonic number). © 2013 Springer Science+Business Media New York.
Richard M. Karp, Raymond E. Miller
Journal of Computer and System Sciences
Joy Y. Cheng, Daniel P. Sanders, et al.
SPIE Advanced Lithography 2008
Mario Blaum, John L. Fan, et al.
IEEE International Symposium on Information Theory - Proceedings
Renu Tewari, Richard P. King, et al.
IS&T/SPIE Electronic Imaging 1996