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| Content Provider | Springer Nature Link |
|---|---|
| Author | Lingas, Andrzej Persson, Mia |
| Copyright Year | 2014 |
| Abstract | We present a new approach to the minimum-cost integral flow problem for small values of the flow. It reduces the problem to the tests of simple multivariate polynomials over a finite field of characteristic two for non-identity with zero. In effect, we show that a minimum-cost flow of value k in a network with n vertices, a sink and a source, integral edge capacities and positive integral edge costs polynomially bounded in n can be found by a randomized PRAM, with errors of exponentially small probability in n, running in O(klog(kn)+log2(kn)) time and using 2 k (kn) O(1) processors. Thus, in particular, for the minimum-cost flow of value O(logn), we obtain an RNC2 algorithm, improving upon time complexity of earlier NC and RNC algorithms. |
| Starting Page | 607 |
| Ending Page | 619 |
| Page Count | 13 |
| File Format | |
| ISSN | 01784617 |
| Journal | Algorithmica |
| Volume Number | 72 |
| Issue Number | 2 |
| e-ISSN | 14320541 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2014-01-10 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Maximum integral flow Minimum-cost flow Polynomial verification Parallel algorithms Randomized algorithms Time complexity Processor complexity Algorithm Analysis and Problem Complexity Theory of Computation Mathematics of Computing Algorithms Computer Systems Organization and Communication Networks Data Structures, Cryptology and Information Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Computer Science Applications |
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