Extending ML-OARSMT to Net Open Locator with Efficient and Effective Boolean Operations

碩士 === 國立交通大學 === 電子研究所 === 107 === Multi-layer obstacle-avoiding rectilinear Steiner minimal tree (ML-OARSMT) problem has been extensively studied in recent years. In this work, we consider a variant of ML- OARSMT problem and extend the applicability to the net open location finder. Since ECO or ro...

Full description

Bibliographic Details
Main Authors: Jiang, Bing-Hui, 江炳輝
Other Authors: Chen, Hung-Ming
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/rhdfyn