地点：软件园校区办公室二楼圆形报告厅  

报告题目：An Introduction to Fixed-Parameter Tractable Algorithms

报告内容简介：

At this point, if an optimization problem is NP-complete it is likely that one has to spend exponential time to solve the problem exactly. In reality, people typically use approximation algorithms to handle NP-complete problems, but in many applications an approximate solution is not good enough. FPT algorithms give people a way to solve some NP-complete problems exactly in polynomial time, when the solution value is small. In this talk, I will introduce FPT algorithms through a problem called MSR, which originates from computational biology.

学术报告2：

报告人：美国德克萨斯大学Sergy Bereg副教授

时间：2009 年6月4日（周四）上午10：00-11：00

地点：软件园校区办公室二楼圆形报告厅  

报告题目：Geometric Facility Location

报告内容简介：

Many problems in facility location can be embedded in Euclidean spaces.Classical problems are Euclidean k-center and Euclidean k-median. We will discuss algorithms developed for these problems and their variations - discrete case, different metrics, competitive facility location.

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