Geometric constraint satisfaction using optimization methods

✍ Scribed by Jian-Xin Ge; Shang-Ching Chou; Xiao-Shan Gao

• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 337 KB
• Volume: 31
• Category: Article
• ISSN: 0010-4485
• DOI: 10.1016/s0010-4485(99)00074-3

✦ Synopsis

The numerical approach to solving geometric constraint problems is indispensable for building a practical CAD system. The most commonly-used numerical method is the Newton-Raphson method. It is fast, but has the instability problem: the method requires good initial values. To overcome this problem, recently the homotopy method has been proposed and experimented with. According to the report, the homotopy method generally works much better in terms of stability. In this paper we use the numerical optimization method to deal with the geometric constraint solving problem. The experimental results based on our implementation of the method show that this method is also much less sensitive to the initial value. Further, a distinctive advantage of the method is that under-and over-constrained problems can be handled naturally and efficiently. We also give many instructive examples to illustrate the above advantages. ᭧ Published by Elsevier Science Ltd.