![]() Electronic Version 17 (1992), 351-369 | ![]() |
Michael D. Hirsch
Proving lower bounds for the cost of solving problems on a computer is a very difficult problem-not least because it is a global problem: one must minimize cost over all possible algorithms. As with many other global problems, a topological approach has proven fruitful. We give two applications of topology to the problem of proving lower bounds. The first is to the computation of the topological complexity of a problem. We define the New Point Problem and compute tight bounds for its topological complexity. The second application is to finding lower bounds on one way communication complexity of two processors.
volume 17: table of contents
topology proceedings
Electronic Version