Algorithms for Approximate Routing Problems

本提案的研究旨在提高路由方法的基本知识，以换取空间、时间、局域性、容错和对网络拓扑变化的适应性的最优性。多准则路由问题的研究也开始了，即使是最自然和最简单的多准则路由问题，通常也只有启发式已知。其目标是以一种可量化的方式，以较低的计算资源换取解决方案的一些最优性。将研究近似最短路径，紧凑路由和距离标记问题，以及它们对定向网络，动态网络和多标准公式的扩展，这些公式结合了时间和空间的不同权衡以及风险和可靠性的措施。

The research in this proposal aims to advance fundamentalknowledge of routing methods that trade off optimality in return forspace, time, locality, fault-tolerance, and adaptability to changingnetwork topology. The study of multi-criteria routing problems is alsocommenced, where for even the most natural and simply-stated multi-criteriarouting problems, there are typically only heuristics known. The goalis to produce methods that trade off some optimality of the solutionin returned for lowered computational resurces, in a quantifiable way. Approximate shortest-paths, compact routing, and distance labelingproblems will be studied, along with their extensions to directednetworks, dynamic networks, and multi-criteria formulations incorporating different tradeoffs of time and space with measures ofrisk and reliability.