无约束最优化问题的基本研究毕业论文

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1、关于无约束最优化问题求解的基本研究摘要无约束最优化计算方法是数值计算领域中十分活跃的研究课题之一，快速的求解无约束最优化问题，除了自身的重要性以外，还体现在它也构成一些约束最优化问题的子问题.因此，对于无约束最优化问题，如何快速有效的求解一直是优化工作者十分关心的事.论文研究求解无约束最优化问题的几种主要的导数法，并且讨论了这些方法的优缺点以及每种方法的适用范围.同事论文分别对每种方法给出了具体实例，并对例子进行了matlab软件实现关键词：无约束最优化;导数法;极值;精确度AbstractUnconstrainedoptimizationnumericalc

2、alculationmethodisveryactiveinthefieldofresearch,oneofthemostrapidlysolvingunconstrainedoptimizationproblems,inadditiontoitsimportance,isalsoreflectedinsomeoftheconstraintsthatitalsoconstitutesasub-problemofoptimizationproblems.Therefore,forunconstrainedoptimizationproblems,howfasta

3、ndeffectivesolutionhasbeenoptimizedworkersveryconcernedabout.Thesisforsolvingunconstrainedoptimizationproblemsseveralmajorderivativemethod,anddiscussestheadvantagesanddisadvantagesofthesemethodsaswellasthescopeofapplicationofeachmethod.Colleaguespapersforeachmethodwerespecificexampl

4、esaregiven,andexamplesofthematlabsoftwareKeyword：UnconstrainedoptimizationDerivativemethodExtremumAccuracy目录摘要.......................................................................................................................................................-1-ABSTRACT...........

5、....................................................................................................................................-2-第一章绪论.......................................................................................................................................-4-1.1研究

6、背景与意义.......................................................................................................................-4-1.2问题阐述及简介.......................................................................................................................-4-第二章无约束问题的极值条件...........

7、............................................................................................-6-2.1.无约束极值问题....................................................................................................................-6-2.2必要条件...................................................

8、...................