Page 9 - 数学建模算法与应用

第五节 匹配问题的解决 ····························································· 210

第六节 Euler 图与 Hamilton 图的应用 ············································ 212

第七节 最小费用流问题及其算法的应用 ········································ 215
第八节 计划评审技术与关键路线法的应用 ····································· 218

第九章 排队论模型的研究 ································································ 243
第一节 排队论的基本概念 ·························································· 244

第二节 输入过程与服务时间的分布 ············································· 247
第三节 生灭过程的解决 ····························································· 251

第四节 M/M/s 等待制排队模型的分析 ··········································· 253
第五节 M/M/s/s 损失制排队模型的分析 ········································· 260

第六节 M/M/s 混合制排队模型的分析 ··········································· 263
第七节 排队系统优化的应用 ······················································· 270

第八节 随机数生成方法的应用 ···················································· 273

第九节 排队模型的计算机模拟 ···················································· 274
第十章 目标规划的研究 ··································································· 277

第一节 目标规划的数学模型的概念 ·············································· 277
第二节 目标规划的序贯算法应用 ················································· 280

第三节 多目标规划的 Matlab 解法应用 ·········································· 285
第四节 目标规划应用案例分析 ···················································· 287

第十一章 时间序列分析研究 ····························································· 301
第一节 时间序列分析方法的概述 ················································· 301

第二节 平稳时间序列模型的分析 ················································· 302
第三节 时间序列的 Matlab 工具箱的应用 ······································· 310

第四节 ARIMA 模型与季节性序列的分析 ······································ 312

第十二章 混沌技术的数字图像处理方法 ·············································· 325
第一节 混沌技术的概述 ····························································· 325