c\ZI
5&4jT
今天，用CODE V做了一個Introduction to Lens Design With Practical ZEMAX examples chapter12的例子，順便用CODE V全局優(yōu)化運行了一下，運行15分鐘后結束。得到的結論是，這本書采用的特殊優(yōu)化步驟竟然真能繞過較大的極小值，到達了全局最小值。不可思議！當然了，可能更復雜的系統(tǒng)難以優(yōu)化到最小值。 ^Ak?2,xB#+
Joseph M. Geary 只是平淡的說了下面一段話，卻沒提這是使用SF2玻璃下達到最全局最小值。SF2對應的成都玻璃是ZF1. ,Dv*<La`\
Cautionary Note: In the above example we were able to get a good result by unslaving everything and making all curvatures and airspaces variable. Some- times, however, this will not work. You might have to do things in several separate stages before a good result is obtained. In other words, a direct path to the deep minima may be blocked by a shallower minima. Somehow you have to get around the latter first. Properly staged optimizations can navigate around such an obstacle.
