数学建模
数学建模经典算法
matlab线性规划
https://img-blog.csdn.net/20170112132207589?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
https://img-blog.csdn.net/20170112132305589?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
线性规划的应用：输运问题（“表上作业法”更为简单），指派问题（可以转换成输运问题）或者直接使用匈牙利算法求解指派问题。还有投资收益与风险问题。matlab整数规划问题
分支定界法（求解生产进度问题、旅行推销员问题、工厂选址问题、背包问题及分配问题）
0-1型整数规划（过滤隐枚举法、蒙特卡罗法）非线性规划
https://img-blog.csdn.net/20170112193948686?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
https://img-blog.csdn.net/20170112194142906?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
https://img-blog.csdn.net/20170112194334781?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
这里可以直接调用matlab中自带的函数斐波那契法
https://img-blog.csdn.net/20170112203906415?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast最速下降法
https://img-blog.csdn.net/20170112210257910?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast牛顿法
https://img-blog.csdn.net/20170112210416504?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
拟牛顿法matlab求解无约束极值问题，调用matlab自带的工具箱函数，fminunc
https://img-blog.csdn.net/20170112211354367?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
https://img-blog.csdn.net/20170112211503618?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
二次规划
https://img-blog.csdn.net/20170112212557218?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
罚数法
https://img-blog.csdn.net/20170112212848219?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEasthttps://img-blog.csdn.net/20170112214132919?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast
https://img-blog.csdn.net/20170112214340491?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEasthttps://img-blog.csdn.net/20170112214805181?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQvY3NfbHNs/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/SouthEast动态规划问题
最短路线问题、生产计划问题
按决策过程分类图与网络
最短路问题，最大流问题，最小费用流问题，匹配问题
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